m-Health: Lessons Learned by m-Experiences
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Iván González | Jesús Fontecha | José Bravo | Ramón Hervás | J. Fontecha | R. Hervás | J. Bravo | Iván González
[1] Cathryn Jackson,et al. A mobile clinical e-portfolio for nursing and medical students, using wireless personal digital assistants (PDAs). , 2006, Nurse education in practice.
[2] José Miguel Latorre,et al. Correlation between videogame mechanics and executive functions through EEG analysis , 2016, J. Biomed. Informatics.
[3] Shuozhi Yang,et al. Estimation of spatio-temporal parameters for post-stroke hemiparetic gait using inertial sensors. , 2013, Gait & posture.
[4] Stefan Madansingh,et al. Smartphone based fall detection system , 2015, 2015 15th International Conference on Control, Automation and Systems (ICCAS).
[5] Diane J. Cook,et al. Simple and Complex Activity Recognition through Smart Phones , 2012, 2012 Eighth International Conference on Intelligent Environments.
[6] Arantza Illarramendi,et al. Real-time classification of ECGs on a PDA , 2005, IEEE Transactions on Information Technology in Biomedicine.
[7] G. Zilvold,et al. Simultaneous measurement of surface EMG and movements for clinical use , 1989, Medical and Biological Engineering and Computing.
[8] Sooyoung Yoo,et al. MobileMed: A PDA-Based Mobile Clinical Information System , 2006, IEEE Transactions on Information Technology in Biomedicine.
[9] Vladimir Villarreal,et al. An NFC Approach for Nursing Care Training , 2011, 2011 Third International Workshop on Near Field Communication.
[10] Davide Anguita,et al. Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine , 2012, IWAAL.
[11] Carmen C. Y. Poon,et al. Perspectives on High Technologies for Low-Cost Healthcare , 2008, IEEE Engineering in Medicine and Biology Magazine.
[12] Emil Jovanov,et al. Stress monitoring using a distributed wireless intelligent sensor system. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[13] K. Patrick,et al. A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial , 2009, Journal of medical Internet research.
[14] M. Tinetti. Performance‐Oriented Assessment of Mobility Problems in Elderly Patients , 1986, Journal of the American Geriatrics Society.
[15] M. Vergara,et al. Mobile Prescription: An NFC-Based Proposal for AAL , 2010, 2010 Second International Workshop on Near Field Communication.
[16] Jesús Fontecha,et al. A Mobile and Ubiquitous Approach for Supporting Frailty Assessment in Elderly People , 2013, Journal of medical Internet research.
[17] Jesús Favela,et al. Assessing empathy and managing emotions through interactions with an affective avatar , 2018, Health Informatics J..
[18] Rafael C González,et al. Real-time gait event detection for normal subjects from lower trunk accelerations. , 2010, Gait & posture.
[19] William C. Mann,et al. Smart Phone Based Cognitive Assistant , 2003 .
[20] 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).
[21] James A. Landay,et al. The Mobile Sensing Platform: An Embedded Activity Recognition System , 2008, IEEE Pervasive Computing.
[22] Vincenzo Della Mea,et al. What is e-Health (2): The death of telemedicine? , 2001 .
[23] Emiliano Miluzzo,et al. A survey of mobile phone sensing , 2010, IEEE Communications Magazine.
[24] Martínez Manuel Quintanilla,et al. [Frail elderly]. , 2004, Revista de enfermeria.
[25] R. Hawkins,et al. Evaluation of Roche Accu-Chek Go and Medisense Optium blood glucose meters. , 2005, Clinica chimica acta; international journal of clinical chemistry.
[26] Valérie Gay,et al. A mobile rehabilitation application for the remote monitoring of cardiac patients after a heart attack or a coronary bypass surgery , 2009, PETRA '09.
[27] Lale Akarun,et al. A Smartphone Based Fall Detector with Online Location Support , 2010 .
[28] Yang Yong-jun. IT-MEMS technology , 2002 .
[29] O. Beauchet,et al. Gait variability is associated with frailty in community-dwelling older adults. , 2011, The journals of gerontology. Series A, Biological sciences and medical sciences.
[30] Robert S. H. Istepanian,et al. Ubiquitous M-Health Systems and the Convergence Towards 4G Mobile Technologies , 2006 .
[31] Guy Albert Dumont,et al. Experience report: functional programming of mHealth applications , 2013, ICFP.
[32] Jesús Fontecha,et al. Mobile and ubiquitous architecture for the medical control of chronic diseases through the use of intelligent devices: Using the architecture for patients with diabetes , 2014, Future Gener. Comput. Syst..
[33] José Bravo,et al. m-Physio: Personalized Accelerometer-based Physical Rehabilitation Platform , 2010 .
[34] Nancy Longnecker,et al. Doctor-patient communication: a review. , 2010, The Ochsner journal.
[35] Michael L. Littman,et al. Activity Recognition from Accelerometer Data , 2005, AAAI.
[36] Jesús Fontecha,et al. Mobile services infrastructure for frailty diagnosis support based on Gower's similarity coefficient and treemaps , 2014, Mob. Inf. Syst..
[37] Diego López-de-Ipiña,et al. Enabling NFC Technology for Supporting Chronic Diseases: A Proposal for Alzheimer Caregivers , 2008, AmI.
[38] Ahmad Zmily,et al. Alzheimer's Disease rehabilitation using smartphones to improve patients' quality of life , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.
[39] T. Wyatt,et al. Smartphones in Nursing Education , 2011, Computers, informatics, nursing : CIN.
[40] Adrian Holzer,et al. Mobile application market: A developer's perspective , 2011, Telematics Informatics.
[41] Jesús Fontecha,et al. A Context Model based on Ontological Languages: a Proposal for Information Visualization , 2010, J. Univers. Comput. Sci..
[42] Feng Xia,et al. iCare: A Mobile Health Monitoring System for the Elderly , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.
[43] B. Dobkin,et al. Reliability and Validity of Bilateral Ankle Accelerometer Algorithms for Activity Recognition and Walking Speed After Stroke , 2011, Stroke.
[44] Kristina Höök,et al. License to chill!: how to empower users to cope with stress , 2008, NordiCHI.
[45] José Bravo,et al. COIVA: context‐aware and ontology‐powered information visualization architecture , 2011, Softw. Pract. Exp..
[46] Iván González,et al. Estimation of Temporal Gait Events from a Single Accelerometer Through the Scale-Space Filtering Idea , 2016, Journal of Medical Systems.
[47] Patricia Biller Krauskopf,et al. E-health and Nursing: Using Smartphones to Enhance Nursing Practice , 2012 .
[48] S. Sharma,et al. A strategic approach to m-health , 2009, Health Informatics J..
[49] Rachid Benlamri,et al. MORF: A Mobile Health-Monitoring Platform , 2010, IT Professional.
[50] Olivier Beauchet,et al. Association of increased gait variability while dual tasking and cognitive decline: results from a prospective longitudinal cohort pilot study , 2017, GeroScience.
[51] Paul Lukowicz,et al. Wearable Sensing to Annotate Meeting Recordings , 2002, SEMWEB.
[52] N. Vodjdani,et al. The ambient assisted living joint programme , 2008, 2008 2nd Electronics System-Integration Technology Conference.
[53] Richard Oehler,et al. Surfing the web: practicing medicine in a technological age: using smartphones in clinical practice. , 2008, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[54] Iván González,et al. Relationship between stride interval variability and aging: use of linear and non-linear estimators for gait variability assessment in assisted living environments , 2019, J. Ambient Intell. Humaniz. Comput..
[55] Deborah Estrin,et al. PEIR, the personal environmental impact report, as a platform for participatory sensing systems research , 2009, MobiSys '09.
[56] Jesús Fontecha,et al. An Assistive Navigation System Based on Augmented Reality and Context Awareness for People With Mild Cognitive Impairments , 2014, IEEE Journal of Biomedical and Health Informatics.
[57] Jiannong Cao,et al. WAITER: A Wearable Personal Healthcare and Emergency Aid System , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).
[58] Eric C. Larson,et al. SpiroSmart: using a microphone to measure lung function on a mobile phone , 2012, UbiComp.
[59] Swamy Laxminarayan,et al. UNWIRED E-MED: the next generation of wireless and internet telemedicine systems , 2000, IEEE Transactions on Information Technology in Biomedicine.
[60] Emil Jovanov,et al. Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity , 2004, IEEE Transactions on Information Technology in Biomedicine.
[61] R. Istepanian,et al. Mobile e-health: the unwired evolution of telemedicine. , 2003, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[62] Andrew T. Campbell,et al. Bewell: A smartphone application to monitor, model and promote wellbeing , 2011, PervasiveHealth 2011.
[63] Angélica Muñoz-Meléndez,et al. Comparison of a Vision-Based System and a Wearable Inertial-Based System for a Quantitative Analysis and Calculation of Spatio-Temporal Parameters , 2015, AmIHEALTH.
[64] Russell A. McCann,et al. mHealth for mental health: Integrating smartphone technology in behavioral healthcare. , 2011 .
[65] José Bravo,et al. Using a Communication Model to Collect Measurement Data through Mobile Devices , 2012, Sensors.
[66] Yoshiharu Yonezawa,et al. A daily living activity remote monitoring system for solitary elderly people , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[67] David W. McDonald,et al. Activity sensing in the wild: a field trial of ubifit garden , 2008, CHI.
[68] Marios S. Pattichis,et al. Wireless telemedicine systems: an overview , 2002 .
[69] Diego López-de-Ipiña,et al. Integration of Multisensor Hybrid Reasoners to Support Personal Autonomy in the Smart Home , 2014, Sensors.
[70] Friedrich Foerster,et al. Motion pattern and posture: Correctly assessed by calibrated accelerometers , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[71] Michel RIVEILL. SOAP , 2015, Technologies logicielles Architectures des systèmes.