Pervasive Healthcare-A Comprehensive Survey of Tools and Techniques

Pervasive healthcare is an emerging technology that aims to provide round-the-clock monitoring of several vital signs of patients using various health sensors, specialized communication protocols, and intelligent context-aware applications. Pervasive healthcare applications proactively contact the caregiver provided any abnormality arises in the health condition of a monitored patient. It has been a boon to the patients suffering from different diseases and requiring continuous monitoring and care, such as, disabled individuals, elderly and weak persons living alone, children of different ages, and adults who are susceptible to near-fatal falls or sudden increases in blood pressure, heart rates, stress level, etc. Existing surveys on pervasive healthcare cover generic techniques or a particular application, like fall detection. In this paper, we carry out a comprehensive coverage of several common disorders addressed by pervasive healthcare in recent years. We roughly classify different diseases by age groups of patients and then discuss various hardware and software tools and techniques to detect or treat them. We have also included detailed tabular classification of a large selection of significant research articles in pervasive healthcare.

[1]  Pietro Siciliano,et al.  An active vision system for fall detection and posture recognition in elderly healthcare , 2010, 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010).

[2]  Nuria Oliver,et al.  HealthGear: a real-time wearable system for monitoring and analyzing physiological signals , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[3]  Yvonne Rogers,et al.  When Do We Eat? An Evaluation of Food Items Input into an Electronic Food Monitoring Application , 2006, 2006 Pervasive Health Conference and Workshops.

[4]  C. S. Pruette,et al.  Feasibility of a mobile blood pressure telemanagement system in children with hypertension , 2013, 2013 IEEE Point-of-Care Healthcare Technologies (PHT).

[5]  Robert LeMoyne,et al.  Implementation of an iPhone for characterizing Parkinson's disease tremor through a wireless accelerometer application , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[6]  A.H. Khandoker,et al.  Wavelet-Based Feature Extraction for Support Vector Machines for Screening Balance Impairments in the Elderly , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  Gonzalo Bailador,et al.  A Stress-Detection System Based on Physiological Signals and Fuzzy Logic , 2011, IEEE Transactions on Industrial Electronics.

[8]  Meysam Asgari,et al.  Predicting severity of Parkinson's disease from speech , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[9]  E.T. Lim,et al.  Cellular phone based online ECG processing for ambulatory and continuous detection , 2007, 2007 Computers in Cardiology.

[10]  P. Schellhammer,et al.  Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. , 2002, Cancer research.

[11]  Sarah Parsons,et al.  The Use and Understanding of Virtual Environments by Adolescents with Autistic Spectrum Disorders , 2004, Journal of autism and developmental disorders.

[12]  Paul Lukowicz,et al.  Continuous recognition of arm activities with body-worn inertial sensors , 2004, Eighth International Symposium on Wearable Computers.

[13]  A. Roudsari,et al.  Web-based decision support and telemonitoring system for the management of diabetes , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[14]  Zhanpeng Jin,et al.  HeartToGo: A Personalized medicine technology for cardiovascular disease prevention and detection , 2009, 2009 IEEE/NIH Life Science Systems and Applications Workshop.

[15]  Shyamal Patel,et al.  A Web-Based System for Home Monitoring of Patients With Parkinson's Disease Using Wearable Sensors , 2011, IEEE Transactions on Biomedical Engineering.

[16]  Tsumoru Ochiai,et al.  Computer interface to use head movement for handicapped people , 1996, Proceedings of Digital Processing Applications (TENCON '96).

[17]  Ilkka Korhonen,et al.  Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions , 2008, IEEE Transactions on Information Technology in Biomedicine.

[18]  A. Kar,et al.  Implication of technology on society in Asia: Automated detection of Cervical Cancer , 2012, 2012 IEEE Conference on Technology and Society in Asia (T&SA).

[19]  W. Pruehsner,et al.  Home-Environment and Entertainment Remote [control aid for disabled persons] , 1999, Proceedings of the IEEE 25th Annual Northeast Bioengineering Conference (Cat. No. 99CH36355).

[20]  J. Volkmann,et al.  Basic algorithms for the programming of deep brain stimulation in Parkinson's disease , 2006, Movement disorders : official journal of the Movement Disorder Society.

[21]  Rodrigo de Oliveira,et al.  TripleBeat: enhancing exercise performance with persuasion , 2008, Mobile HCI.

[22]  B A Staats,et al.  Obstructive sleep apnea syndrome. , 1990, Mayo Clinic proceedings.

[23]  Deborah Estrin,et al.  Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype , 2007, EmNets '07.

[24]  W. Flemons,et al.  Clinical prediction of the sleep apnea syndrome. , 1997, Sleep medicine reviews.

[25]  Toshio Tsuji,et al.  Measurement and evaluation of finger tapping movements using magnetic sensors , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[26]  Youngbum Lee,et al.  Indoor Positioning System for Moving Objects on an Indoor for Blind or Visually Impaired Playing Various Sports , 2009 .

[27]  Ling Bao,et al.  Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.

[28]  Mehmet Engin,et al.  ECG beat classification using neuro-fuzzy network , 2004, Pattern Recognit. Lett..

[29]  ExerTrek: A portable handheld exercise monitoring, tracking and recommendation system , 2009, 2009 11th International Conference on e-Health Networking, Applications and Services (Healthcom).

[30]  P.X. Liu,et al.  Voice based robot control , 2005, 2005 IEEE International Conference on Information Acquisition.

[31]  Ping-Min Lin,et al.  A fall detection system using k-nearest neighbor classifier , 2010, Expert Syst. Appl..

[32]  C. Thanawattano,et al.  Android application for spiral analysis in Parkinson's Disease , 2012, 2012 Proceedings of IEEE Southeastcon.

[33]  Neil Johnson,et al.  A smart sensor to detect the falls of the elderly , 2004, IEEE Pervasive Computing.

[34]  H. Patel,et al.  Breath analysis by electronic nose for Asthma detection , 2012, 2012 Nirma University International Conference on Engineering (NUiCONE).

[35]  Jindong Tan,et al.  HealthAware: Tackling obesity with health aware smart phone systems , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[36]  Warren D. Smith,et al.  A miniature, wearable activity/fall monitor to assess the efficacy of mobility therapy for children with cerebral palsy during everyday living , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[37]  H. Kirshner,et al.  Swallowing and speech production in Parkinson's disease , 1986, Annals of neurology.

[38]  I. Shafran,et al.  Extracting cues from speech for predicting severity of Parkinson'S disease , 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

[39]  Elif Derya Übeyli,et al.  ECG beat classifier designed by combined neural network model , 2005, Pattern Recognit..

[40]  Xinguo Yu Approaches and principles of fall detection for elderly and patient , 2008, HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services.

[41]  Huiru Zheng,et al.  An interactive assessment system for children with chronic pain , 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

[42]  T. Leet,et al.  Parents’ developmental concerns and age variance at diagnosis of children with autism spectrum disorder , 2009 .

[43]  Benoit M. Macq,et al.  Finger Tapping Clinimetric Score Prediction in Parkinson's Disease Using Low-Cost Accelerometers , 2013, Comput. Intell. Neurosci..

[44]  Stanislaw Osowski,et al.  ECG beat recognition using fuzzy hybrid neural network , 2001, IEEE Trans. Biomed. Eng..

[45]  Shih-Hau Fang,et al.  Developing a mobile phone-based fall detection system on Android platform , 2012, 2012 Computing, Communications and Applications Conference.

[46]  A. M. Khan,et al.  Promoting a healthier life-style using activity-aware smart phones , 2012, 2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012).

[47]  R. S. Subbu,et al.  Enabling visually impaired to read messages from modern gadgets , 2012, 2012 Sixth International Conference on Sensing Technology (ICST).

[48]  Zhihai He,et al.  Recognizing Falls from Silhouettes , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[49]  Jong Hyuk Park,et al.  Adaptive Body Posture Analysis for Elderly-Falling Detection with Multisensors , 2010, IEEE Intelligent Systems.

[50]  T. Groth,et al.  A new computer method for assessing drawing impairment in Parkinson's disease , 2010, Journal of Neuroscience Methods.

[51]  Bozena Kostek,et al.  UPDRS Tests for Diagnosis of Parkinson's Disease Employing Virtual-Touchpad , 2010, 2010 Workshops on Database and Expert Systems Applications.

[52]  David P. Colvin,et al.  Falls In The Elderly: Detection And Assessment , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[53]  Minglu Zhang,et al.  Robot control based on voice command , 2008, 2008 IEEE International Conference on Automation and Logistics.

[54]  J. Jankovic Parkinson’s disease: clinical features and diagnosis , 2008, Journal of Neurology, Neurosurgery, and Psychiatry.

[55]  A. Balaji Ganesh,et al.  Implementation of wireless sensor network based human fall detection system , 2012 .

[56]  Ricardo Gutierrez-Osuna,et al.  Using Heart Rate Monitors to Detect Mental Stress , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.

[57]  Jean Meunier,et al.  Fall Detection from Human Shape and Motion History Using Video Surveillance , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[58]  Upkar Varshney,et al.  Pervasive Healthcare and Wireless Health Monitoring , 2007, Mob. Networks Appl..

[59]  Chatschik Bisdikian,et al.  An overview of the Bluetooth wireless technology , 2001, IEEE Commun. Mag..

[60]  N. Sarkar,et al.  Design of a Gaze-Sensitive Virtual Social Interactive System for Children With Autism , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[61]  Katsunori Shimohara,et al.  Child-Care Training System to Improve Quality of Child-Care , 2011, 2011 International Conference on Biometrics and Kansei Engineering.

[62]  Jacek M. Zurada,et al.  Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.

[63]  Gerhard Tröster,et al.  Detection of eating and drinking arm gestures using inertial body-worn sensors , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[64]  W. Pruehsner,et al.  Remote control digital thermostat and remote door opener , 1999, Proceedings of the IEEE 25th Annual Northeast Bioengineering Conference (Cat. No. 99CH36355).

[65]  Da‐hong Wang,et al.  Development of a new instrument for evaluating individuals' dietary intakes. , 2006, Journal of the American Dietetic Association.

[66]  Andrew H. Kemp,et al.  Overview of the IEEE 802.15.4 standards family for Low Rate Wireless Personal Area Networks , 2010, 2010 7th International Symposium on Wireless Communication Systems.

[67]  M. Chuah,et al.  Smartphone Based Autism Social Alert System , 2012, 2012 8th International Conference on Mobile Ad-hoc and Sensor Networks (MSN).

[68]  M. Alwan,et al.  A Smart and Passive Floor-Vibration Based Fall Detector for Elderly , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[69]  John D. Enderle,et al.  VoxyBox [disabled persons aid] , 1999, Proceedings of the IEEE 25th Annual Northeast Bioengineering Conference (Cat. No. 99CH36355).

[70]  Xingshe Zhou,et al.  An Integrated Service Platform for Pervasive Elderly Care , 2012, 2012 IEEE Asia-Pacific Services Computing Conference.

[71]  C. Peng,et al.  Detection of obstructive sleep apnea from cardiac interbeat interval time series , 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).

[72]  K. Akazawa,et al.  Measurement system of finger-tapping contact force for quantitative diagnosis of Parkinson's disease , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[73]  P. Martínez-Martín,et al.  Unified Parkinson's disease rating scale characteristics and structure , 1994, Movement disorders : official journal of the Movement Disorder Society.

[74]  W. Pruehsner,et al.  Train Spotting [toy vehicle for disabled children] , 1999, Proceedings of the IEEE 25th Annual Northeast Bioengineering Conference (Cat. No. 99CH36355).

[75]  Kenzo Akazawa,et al.  Finger taps movement acceleration measurement system for quantitative diagnosis of Parkinson's disease , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[76]  Xiaohui Liang,et al.  Enabling pervasive healthcare through continuous remote health monitoring , 2012, IEEE Wireless Communications.

[77]  L. J. G. Vazquez,et al.  Low cost human computer interface voluntary eye movement as communication system for disabled people with limited movements , 2011, 2011 Pan American Health Care Exchanges.

[78]  John Nelson,et al.  The design and development of a long-term fall detection system incorporated into a custom vest for the elderly. , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[79]  Jong-Hoon Youn,et al.  Survey and evaluation of real-time fall detection approaches , 2009, 2009 6th International Symposium on High Capacity Optical Networks and Enabling Technologies (HONET).

[80]  Toshio Tsuji,et al.  Estimation of human finger tapping forces based on a fingerpad-stiffness model , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[81]  Andrew P. Bradley,et al.  Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus , 2010, IEEE Transactions on Information Technology in Biomedicine.

[82]  G. Li,et al.  An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers , 2002, Bioinform..

[83]  Zhiwei Zhu,et al.  A Real-Time Human Stress Monitoring System Using Dynamic Bayesian Network , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[84]  Ondrej Krejcar Handicapped people virtual keyboard controlled by head motion detection , 2011, 2011 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).

[85]  Rahul Banerjee,et al.  An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[86]  Gonzalo Bailador,et al.  Stress detection by means of stress physiological template , 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

[87]  P. Marques,et al.  Remote foetal heart rate acquisition and analysis , 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).

[88]  Zhanpeng Jin,et al.  Predicting cardiovascular disease from real-time electrocardiographic monitoring: An adaptive machine learning approach on a cell phone , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[89]  Nuria Oliver,et al.  HealthGear: Automatic Sleep Apnea Detection and Monitoring with a Mobile Phone , 2007, J. Commun..

[90]  Tuna Tugcu,et al.  A survey on emerging broadband wireless access technologies , 2007, Comput. Networks.

[91]  Hong Tang,et al.  Data mining techniques for cancer detection using serum proteomic profiling , 2004, Artif. Intell. Medicine.

[92]  Chia-Wen Lin,et al.  Automatic Fall Incident Detection in Compressed Video for Intelligent Homecare , 2007, 2007 16th International Conference on Computer Communications and Networks.

[93]  Bart Jansen,et al.  Context aware inactivity recognition for visual fall detection , 2006, 2006 Pervasive Health Conference and Workshops.

[94]  Yang Guo,et al.  Using Bayes Network for Prediction of Type-2 diabetes , 2012, 2012 International Conference for Internet Technology and Secured Transactions.

[95]  Paul Lukowicz,et al.  Can smartphones detect stress-related changes in the behaviour of individuals? , 2012, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops.

[96]  Ling Shao,et al.  A survey on fall detection: Principles and approaches , 2013, Neurocomputing.

[97]  Eiman Kanjo,et al.  Mbreath: Asthma monitoring system on the go , 2013, 2013 International Conference on Computer Medical Applications (ICCMA).

[98]  Simson L. Garfinkel,et al.  RFID privacy: an overview of problems and proposed solutions , 2005, IEEE Security & Privacy Magazine.

[99]  Gregory D. Abowd,et al.  Recognizing mimicked autistic self-stimulatory behaviors using HMMs , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[100]  A. Sadeh,et al.  The role of actigraphy in sleep medicine. , 2002, Sleep medicine reviews.

[101]  Abdelsalam Helal,et al.  Drishti: an integrated navigation system for visually impaired and disabled , 2001, Proceedings Fifth International Symposium on Wearable Computers.

[102]  Yung-Chin Chen,et al.  RFID Emergency Notification System For Fall Accidents At Home , 2007, 2007 9th International Conference on e-Health Networking, Application and Services.

[103]  Gonzalo Bailador,et al.  Two Stress Detection Schemes Based on Physiological Signals for Real-Time Applications , 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[104]  Luming Li,et al.  Wireless wrist-wearable wake/sleep identification device for closed-loop deep brain stimulation , 2013 .

[105]  Osman Hasan,et al.  Survey of fall detection and daily activity monitoring techniques , 2010, 2010 International Conference on Information and Emerging Technologies.

[106]  Osamu Takami,et al.  Computer interface device for handicapped people using head movement , 1997, 1997 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM. 10 Years Networking the Pacific Rim, 1987-1997.

[107]  Cem Ersoy,et al.  Wireless sensor networks for healthcare: A survey , 2010, Comput. Networks.

[108]  Caj Södergård,et al.  HyperFit: Hybrid media in personal nutrition and exercise management , 2008, 2008 Second International Conference on Pervasive Computing Technologies for Healthcare.

[109]  Dimitrios I. Fotiadis,et al.  CHILDCARE: a collaborative environment for the monitoring of children healthcare at home , 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..

[110]  Ziad O. Abu-Faraj,et al.  Evaluation of fall and fall recovery in a simulated seismic environment: A pilot study , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[111]  A. Enis Çetin,et al.  HMM Based Falling Person Detection Using Both Audio and Video , 2005, 2006 IEEE 14th Signal Processing and Communications Applications.

[112]  Yasser M. Kadah,et al.  Development of a computer-aided classification system for cancer detection from digital mammograms , 2008, 2008 National Radio Science Conference.

[113]  James M. Schafer,et al.  PERCEPT Indoor Navigation System for the Blind and Visually Impaired: Architecture and Experimentation , 2012, International journal of telemedicine and applications.

[114]  S. Kumari,et al.  A data mining approach for the diagnosis of diabetes mellitus , 2013, 2013 7th International Conference on Intelligent Systems and Control (ISCO).

[115]  G. Schulz,et al.  Effects of speech therapy and pharmacologic and surgical treatments on voice and speech in Parkinson's disease: a review of the literature. , 2000, Journal of communication disorders.

[116]  Chao Li,et al.  Realization of stress detection using psychophysiological signals for improvement of human-computer interactions , 2005, Proceedings. IEEE SoutheastCon, 2005..

[117]  Elmar Nöth,et al.  Detection of persons with Parkinson's disease by acoustic, vocal, and prosodic analysis , 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

[118]  Mohammad R. Akbarzadeh-Totonchi,et al.  Mental Stress Detection Based on Soft Computing Techniques , 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

[119]  Wazir Zada Khan,et al.  Mobile Phone Sensing Systems: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[120]  J. Jankovic,et al.  Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Scale presentation and clinimetric testing results , 2008, Movement disorders : official journal of the Movement Disorder Society.

[121]  Rong Zhu,et al.  A Wireless Portable System With Microsensors for Monitoring Respiratory Diseases , 2012, IEEE Transactions on Biomedical Engineering.

[122]  Abdelsalam Helal,et al.  Drishti: an integrated indoor/outdoor blind navigation system and service , 2004, Second IEEE Annual Conference on Pervasive Computing and Communications, 2004. Proceedings of the.

[123]  Jennifer A. Healey,et al.  Wearable and automotive systems for affect recognition from physiology , 2000 .

[124]  Almabrok Saleh Ahmed Towards an Online Diabetes Type II Self Management System: Ontology Framework , 2011, 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks.

[125]  Martin L. Griss,et al.  Activity-Aware Mental Stress Detection Using Physiological Sensors , 2010, MobiCASE.

[126]  W. Grill,et al.  Closed-Loop Control of Deep Brain Stimulation: A Simulation Study , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[127]  Gonzalo Bailador,et al.  Secure access control by means of human stress detection , 2011, 2011 Carnahan Conference on Security Technology.

[128]  Caj Södergård,et al.  HyperFit: Hybrid media in personal nutrition and exercise management , 2008, PervasiveHealth.

[129]  Mu-Hsing Kuo,et al.  Poster: Applying data mining algorithms to early detection of liver cancer , 2012, 2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS).

[130]  Heather Rogers,et al.  Mental stress and coronary artery disease: a multidisciplinary guide. , 2006, Progress in cardiovascular diseases.

[131]  Yassine Salih Alj,et al.  Bus Identification System for Visually Impaired Person , 2012, 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies.

[132]  W. Kurutach,et al.  Association analysis of diabetes mellitus (DM) with complication states based on association rules , 2012, 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[133]  Mei-Hui Wang,et al.  A Fuzzy Expert System for Diabetes Decision Support Application , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[134]  F. Caird,et al.  Speech therapy for Parkinson's disease. , 1983, Journal of neurology, neurosurgery, and psychiatry.

[135]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[136]  Nicolas Thome,et al.  A HHMM-Based Approach for Robust Fall Detection , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[137]  C. Rougier,et al.  Monocular 3D Head Tracking to Detect Falls of Elderly People , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[138]  Huan-Wen Tzeng,et al.  Design of fall detection system with floor pressure and infrared image , 2010, 2010 International Conference on System Science and Engineering.

[139]  Anthony Ellertson,et al.  Work in progress: Using smart mobile tools to enhance autism therapy for children , 2012, 2012 Frontiers in Education Conference Proceedings.

[140]  Ron Weinstein,et al.  RFID: a technical overview and its application to the enterprise , 2005, IT Professional.

[141]  John V. Guttag,et al.  ANTS: a toolkit for building and dynamically deploying network protocols , 1998, 1998 IEEE Open Architectures and Network Programming.

[142]  T. Dawson,et al.  Diagnosis and treatment of Parkinson disease: molecules to medicine. , 2006, The Journal of clinical investigation.

[143]  Daniel Gatica-Perez,et al.  StressSense: detecting stress in unconstrained acoustic environments using smartphones , 2012, UbiComp.

[144]  S. Haber,et al.  Closed-Loop Deep Brain Stimulation Is Superior in Ameliorating Parkinsonism , 2011, Neuron.

[145]  Mingyu Wang,et al.  An Intelligent Information System for Maternal and Child Health Care , 2011, 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops.

[146]  Norayu Abdul Talib,et al.  Teleconsultations in Breast Self-Examination (BSE) practice: Alternative solution for early detection of Breast Cancer. , 2008, 2008 International Symposium on Information Technology.

[147]  Athanasios V. Vasilakos,et al.  A Survey on Ambient Intelligence in Healthcare , 2013, Proceedings of the IEEE.

[148]  Sheikh Iqbal Ahamed,et al.  Wellness assistant: a virtual wellness assistant using pervasive computing , 2007, SAC '07.

[149]  Allen R. Hanson,et al.  Aging in place: fall detection and localization in a distributed smart camera network , 2007, ACM Multimedia.

[150]  A. Aronson,et al.  Differential diagnostic patterns of dysarthria. , 1969, Journal of speech and hearing research.

[151]  Jin Zhang,et al.  A real-time auto-adjustable smart pillow system for sleep apnea detection and treatment , 2013, 2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

[152]  Timm Faulwasser,et al.  Towards pervasive computing in health care – A literature review , 2008, BMC Medical Informatics Decis. Mak..

[153]  Hartmut Dickhaus,et al.  Displaying computerized ECG recordings and vital signs on Windows Phone 7 smartphones , 2010, 2010 Computing in Cardiology.

[154]  Gaetano Borriello,et al.  BALANCE: towards a usable pervasive wellness application with accurate activity inference , 2009, HotMobile '09.

[155]  Rahim Tafazolli,et al.  A survey on smartphone-based systems for opportunistic user context recognition , 2013, CSUR.

[156]  Gwenn Englebienne,et al.  Accurate activity recognition in a home setting , 2008, UbiComp.

[157]  J. Konczak,et al.  Control of repetitive lip and finger movements in parkinson's disease: Influence of external timing signals and simultaneous execution on motor performance , 1997, Movement disorders : official journal of the Movement Disorder Society.

[158]  A. Barreto,et al.  Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[159]  Nicolas Thome,et al.  A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[160]  Mitsuru Ishizuka,et al.  Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical game , 2005, Int. J. Hum. Comput. Stud..

[161]  E. Petricoin,et al.  Use of proteomic patterns in serum to identify ovarian cancer , 2002, The Lancet.

[162]  P. Sturmey Video Technology and Persons with Autism and Other Developmental Disabilities , 2003 .

[163]  Wenxi Chen,et al.  BREW Implementation of a Mobile Phone-based Monitor for Women's Healthcare , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[164]  Caroline Rougier,et al.  Demo : Fall Detection Using 3 D Head Trajectory Extracted From a Single Camera Video Sequence , 2006 .

[165]  Kyung Sup Kwak,et al.  Security and Privacy Issues in Wireless Sensor Networks for Healthcare Applications , 2010, Journal of Medical Systems.

[166]  Clare Griffiths,et al.  Leading causes of death in England and Wales--how should we group causes? , 2005, Health Statistics Quarterly.

[167]  P. Phukpattaranont,et al.  Improving the accuracy of a fall detection algorithm using free fall characteristics , 2010, ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[168]  Dong Xuan,et al.  PerFallD: A pervasive fall detection system using mobile phones , 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[169]  Seth L. Pullman,et al.  Spiral analysis—Improved clinical utility with center detection , 2008, Journal of Neuroscience Methods.

[170]  C. Nugent,et al.  Identifying fine movement difficulties in Parkinson's disease using a computer assessment tool , 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

[171]  Kamiar Aminian,et al.  On-Shoe Wearable Sensors for Gait and Turning Assessment of Patients With Parkinson's Disease , 2013, IEEE Transactions on Biomedical Engineering.

[172]  I. Kawachi,et al.  Going to the heart of the matter: do negative emotions cause coronary heart disease? , 2000, Journal of psychosomatic research.

[173]  James McNames,et al.  Objective measure of upper extremity motor impairment in Parkinson's disease with inertial sensors , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[174]  Robert LeMoyne,et al.  Quantification of Parkinson's disease characteristics using wireless accelerometers , 2009, 2009 ICME International Conference on Complex Medical Engineering.

[175]  S. Sastry,et al.  Security and Privacy Issues with Health Care Information Technology , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[176]  Gerhard Tröster,et al.  Discriminating Stress From Cognitive Load Using a Wearable EDA Device , 2010, IEEE Transactions on Information Technology in Biomedicine.

[177]  Enamul Hoque,et al.  Monitoring body positions and movements during sleep using WISPs , 2010, Wireless Health.

[178]  T. Limpiti,et al.  Wireless intelligent fall detection and movement classification using fuzzy logic , 2012, The 5th 2012 Biomedical Engineering International Conference.

[179]  Roy Want,et al.  RFID Technology and Applications , 2006, IEEE Pervasive Computing.

[180]  Yi-Mao Hsiao,et al.  Design and implementation of a healthcare system with fall detection , 2011, International Symposium on Bioelectronics and Bioinformations 2011.

[181]  T. Pickering,et al.  Mental stress as a causal factor in the development of hypertension and cardiovascular disease , 2001, Current hypertension reports.

[182]  David W. McDonald,et al.  Activity sensing in the wild: a field trial of ubifit garden , 2008, CHI.

[183]  Shuangquan Wang,et al.  FallAlarm: Smart Phone Based Fall Detecting and Positioning System , 2012, ANT/MobiWIS.

[184]  John Nolte,et al.  The Human Brain An Introduction to Its Functional Anatomy , 2013 .

[185]  Deokjai Choi,et al.  Semi-supervised fall detection algorithm using fall indicators in smartphone , 2012, ICUIMC '12.

[186]  T. Parmenter,et al.  A Randomised Controlled Trial of Two Early Intervention Programs for Young Children with Autism: Centre-Based with Parent Program and Home-Based. , 2011 .

[187]  S. Moromugi,et al.  Vision based pointing device with slight body movement , 2008, 2008 International Conference on Control, Automation and Systems.

[188]  Won-Kyung Song,et al.  KARES: intelligent rehabilitation robotic system for the disabled and the elderly , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[189]  A. Aronson,et al.  Clusters of deviant speech dimensions in the dysarthrias. , 1969, Journal of speech and hearing research.

[190]  Sana Ullah,et al.  A Review of IEEE 802.15.6 MAC, PHY, and Security Specifications , 2013, Int. J. Distributed Sens. Networks.

[191]  Bernd Schulze,et al.  Concept and Design of a Video Monitoring System for Activity Recognition and Fall Detection , 2009, ICOST.

[192]  Jingyue Wu,et al.  Research into the treatment of autism using virtual communities , 2010, INC2010: 6th International Conference on Networked Computing.

[193]  Wenxi Chen,et al.  Development of i-appli for Women's Health Information Management System , 2007, 7th IEEE International Conference on Computer and Information Technology (CIT 2007).

[194]  Hyotaek Lim,et al.  Design of healthcare system for disable person using eye blinking , 2005, Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05).

[195]  Kathleen M. Weil,et al.  Impact of diet-induced weight loss on the cardiac autonomic nervous system in severe obesity. , 2003, Obesity research.

[196]  Guang Li,et al.  Development of an EOG (Electro-Oculography) Based Human-Computer Interface , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[197]  Jennifer Healey,et al.  Detecting stress during real-world driving tasks using physiological sensors , 2005, IEEE Transactions on Intelligent Transportation Systems.

[198]  D. Fotiadis,et al.  An integrated telemedicine platform for the assessment of affective physiological states , 2006, Diagnostic pathology.

[199]  Tao Lin,et al.  Do physiological data relate to traditional usability indexes? , 2005, OZCHI.

[200]  Xi Chen,et al.  Adaptive Silhouette Extraction in Dynamic Environments Using Fuzzy Logic , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[201]  Matthew Brand,et al.  Discovery and Segmentation of Activities in Video , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[202]  Christopher G. Atkeson,et al.  Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors , 2005, Pervasive.

[203]  Jonathan Wilkins,et al.  Early identification and diagnosis in autism spectrum disorders in young children and infants: How early is too early? , 2008 .

[204]  Stephen J. McKenna,et al.  Activity summarisation and fall detection in a supportive home environment , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[205]  Jianmin Zheng,et al.  Design and Development of a Virtual Dolphinarium for Children With Autism , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[206]  Cafer Avci,et al.  ECG based sleep apnea detection using wavelet analysis of instantaneous heart rates , 2011, ISABEL '11.

[207]  T. Kerdcharoen,et al.  Diabetes diagnosis by direct measurement from urine odor using electronic nose , 2012, The 5th 2012 Biomedical Engineering International Conference.

[208]  Hassan Ghasemzadeh,et al.  Structural Action Recognition in Body Sensor Networks: Distributed Classification Based on String Matching , 2010, IEEE Transactions on Information Technology in Biomedicine.

[209]  M. Pirro,et al.  Obstructive sleep apnea syndrome. , 2012, European journal of internal medicine.

[210]  W.J. Tompkins,et al.  A patient-adaptable ECG beat classifier using a mixture of experts approach , 1997, IEEE Transactions on Biomedical Engineering.

[211]  N. Sarkar,et al.  Design of a Virtual Reality Based Adaptive Response Technology for Children With Autism , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[212]  Frank Sposaro,et al.  iFall: An android application for fall monitoring and response , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[213]  Mohammad Saniee Abadeh,et al.  Cancer Tumor Detection by Gene Expression Data Exploration Using a Genetic Fuzzy System , 2011, 2011 Developments in E-systems Engineering.

[214]  Natalia Dounskaia,et al.  Biased wrist and finger coordination in Parkinsonian patients during performance of graphical tasks , 2009, Neuropsychologia.

[215]  J. Rothwell Principles of Neural Science , 1982 .

[216]  W. Pruehsner,et al.  Remote Environmental Controller [aid for disabled persons] , 1999, Proceedings of the IEEE 25th Annual Northeast Bioengineering Conference (Cat. No. 99CH36355).

[217]  Saroj Kumar Lenka,et al.  RETRACTED ARTICLE: An improved data mining technique for classification and detection of breast cancer from mammograms , 2012, Neural Computing and Applications.

[218]  Weisong Shi,et al.  SPA: a smart phone assisted chronic illness self-management system with participatory sensing , 2008, HealthNet '08.

[219]  Tamer Ölmez,et al.  ECG beat classification by a novel hybrid neural network , 2001, Comput. Methods Programs Biomed..

[220]  Yanjun Qi,et al.  Automated analysis of nursing home observations , 2004, IEEE Pervasive Computing.

[221]  E. Phillipson,et al.  Obstructive sleep apnea as a cause of systemic hypertension. Evidence from a canine model. , 1997, The Journal of clinical investigation.

[222]  Kee-Ho Yu,et al.  Recognition of obstacle distribution via vibrotactile stimulation for the visually disabled , 2013, 2013 IEEE International Conference on Mechatronics (ICM).

[223]  Mark Hasegawa-Johnson,et al.  Acoustic fall detection using Gaussian mixture models and GMM supervectors , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[224]  D. Robins,et al.  The Modified Checklist for Autism in Toddlers: An Initial Study Investigating the Early Detection of Autism and Pervasive Developmental Disorders , 2001, Journal of autism and developmental disorders.

[225]  Jean-Christophe Buisson,et al.  Telematic expert system: Diabeto , 1992 .

[226]  Jian-xun Chen,et al.  Diabetes care decision support system , 2010, 2010 2nd International Conference on Industrial and Information Systems.

[227]  Ashutosh Sabharwal,et al.  mobileSpiro: accurate mobile spirometry for self-management of asthma , 2011, mHealthSys '11.

[228]  Muchun Su,et al.  An implementation of an eye-blink-based communication aid for people with severe disabilities , 2008, 2008 International Conference on Audio, Language and Image Processing.

[229]  Sunghoon Kwon,et al.  EOG-based glasses-type wireless mouse for the disabled , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

[230]  Wann-Yun Shieh,et al.  Speedup the Multi-camera Video-Surveillance System for Elder Falling Detection , 2009, 2009 International Conference on Embedded Software and Systems.

[231]  Nigel H. Lovell,et al.  Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring , 2006, IEEE Transactions on Information Technology in Biomedicine.

[232]  F. Miralles,et al.  Quantification of the drawing of an Archimedes spiral through the analysis of its digitized picture , 2006, Journal of Neuroscience Methods.

[233]  R. Arefi Shirvan,et al.  Voice analysis for detecting Parkinson's disease using genetic algorithm and KNN classification method , 2011, 2011 18th Iranian Conference of Biomedical Engineering (ICBME).

[234]  Jihwan Lee,et al.  Design and development of mobile cardiac marker monitoring system for prevention of acute cardiovascular disease , 2011, 2011 IEEE SENSORS Proceedings.

[235]  Dursun Delen,et al.  Predicting breast cancer survivability: a comparison of three data mining methods , 2005, Artif. Intell. Medicine.

[236]  A. Preece,et al.  Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results , 2009, IEEE Transactions on Antennas and Propagation.

[237]  Yoo-Joo Choi,et al.  SmartBuckle: human activity recognition using a 3-axis accelerometer and a wearable camera , 2008, HealthNet '08.