IoT architecture and system design for healthcare systems

With the advent of high precision sensors and Internet of Things (IoT) enabled medical devices, healthcare has seen a gradual decentralization from the traditional health center based approach. These smaller form factor IoT healthcare devices have reduced the cost of healthcare leading to affordability and wider adoption. This paper enunciates recent advances in the architecture as well as system design of IoT based healthcare systems. Healthcare systems like mHealth and 6LoWPAN based architectures are explored. Healthcare systems involving IEEE 11073 and Constrained Application Protocol (CoAP) are described. Multisensor based system designs that sense blood glucose, body temperature, heart rate and electrical activity (ECG) etc. are explored. The paper provides a comprehensive survey of recent advances in IoT based healthcare system and proposes Intel Curie based healthcare system design.

[1]  Pavani Lakshmi Penmatsa,et al.  Smart Detection and Transmission of Abnormalities in ECG via Bluetooth , 2016, 2016 IEEE International Conference on Smart Cloud (SmartCloud).

[2]  Michele Ruta,et al.  CoAP-based healthcare sensor networks: A survey , 2014, Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th - 18th January, 2014.

[3]  Carsten Bormann,et al.  The Constrained Application Protocol (CoAP) , 2014, RFC.

[4]  Nancy Fell,et al.  Evaluation of fall risk for post-stroke patients using bluetooth low-energy wireless sensor , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[5]  G. Geetha,et al.  Sensor based healthcare information system , 2016, 2016 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR).

[6]  Björn Eskofier,et al.  Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Ahmet Ozdemir,et al.  An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice. , 2016 .

[8]  Gang Zhou,et al.  Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.

[9]  R. S. H. Istepanian,et al.  The potential of Internet of m-health Things “m-IoT” for non-invasive glucose level sensing , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  Hu Zhen,et al.  Fall recognition using wearable technologies and machine learning algorithms , 2016 .

[11]  Hasmah Mansor,et al.  Body temperature measurement for remote health monitoring system , 2013, 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).

[12]  Chung-Horng Lung,et al.  Internet of Things: Remote Patient Monitoring Using Web Services and Cloud Computing , 2014, 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom).

[13]  Dimitrios Soudris,et al.  ECG signal analysis and arrhythmia detection on IoT wearable medical devices , 2016, 2016 5th International Conference on Modern Circuits and Systems Technologies (MOCAST).

[14]  Ahmet Turan Özdemir,et al.  An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice , 2016, Sensors.

[15]  Sultan H. Almotiri,et al.  Mobile Health (m-Health) System in the Context of IoT , 2016, 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW).

[16]  Amir Javadpour,et al.  A temperature monitoring system incorporating an array of precision wireless thermometers , 2015, 2015 International Conference on Smart Sensors and Application (ICSSA).

[17]  V. R. Thool,et al.  LabVIEW-Based Physiological Parameters Monitoring System for Patient Healthcare , 2014 .

[18]  Sugondo Hadiyoso,et al.  A low-cost Internet of Things (IoT) system for multi-patient ECG's monitoring , 2016, 2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC).

[19]  Kalyani Bhole,et al.  Smart wrist watch , 2016, 2016 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS).

[20]  R. Kumar,et al.  An IoT based patient monitoring system using raspberry Pi , 2016, 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16).

[21]  Ravindra C. Thool,et al.  Mobile and web based monitoring of patient's physiological parameters using LabVIEW , 2014, 2014 Annual IEEE India Conference (INDICON).

[22]  Qusay H. Mahmoud,et al.  A smart system connecting e-health sensors and the cloud , 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

[23]  Hannu Tenhunen,et al.  Customizing 6LoWPAN networks towards Internet-of-Things based ubiquitous healthcare systems , 2014, 2014 NORCHIP.

[24]  Cheol-Min Kim,et al.  ISO/IEEE 11073-Based Healthcare Services over IoT Platform Using 6LoWPAN and BLE: Architecture and Experimentation , 2016, 2016 International Conference on Networking and Network Applications (NaNA).

[25]  Hyun-Su Kim,et al.  Design and implementation of interoperable IoT healthcare system based on international standards , 2016, 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[26]  Farid Touati,et al.  A 3G/WiFi-enabled 6LoWPAN-based U-healthcare system for ubiquitous real-time monitoring and data logging , 2014, 2nd Middle East Conference on Biomedical Engineering.

[27]  Carsten Bormann,et al.  6LoWPAN: The Wireless Embedded Internet , 2009 .

[28]  Sugondo Hadiyoso,et al.  Arrhythmia detection based on ECG signal using Android mobile for athlete and patient , 2015, 2015 3rd International Conference on Information and Communication Technology (ICoICT).

[29]  Yu Liu,et al.  eBPlatform: An IoT-based system for NCD patients homecare in China , 2014, 2014 IEEE Global Communications Conference.