Real Time Telemedical Health Care Systems with Wearable Sensors


  • IIUM Malaysia, Department of Electrical and Computer Engineering, Malaysia
  • Central University of Kashmir, Department of Information Technology, Ganderbal, Jammu and Kashmir, 191201, India


The time between detection and response to chronic diseases could go a long way in saving lives. The current trend in health monitoring systems is to move from the hospital centered device to eventually portable personal devices. Hence, Telemedical health care involves the remote delivery of medical care service to either out-of-hospital or admitted patients through wireless network and computer information technology. This paper systematically reviews the most recent works in telemedical health care system to propose a more efficient model. The focus is more on wearable sensors and devices with most attention given to cardiovascular patients in recent times. The huge literature available reflects the size of activity and attention given to telemedicine. The reviewed works are published within the last five years. Furthermore, the proposed systems are compared in terms of their connectivity, targeted application, type of sensor used, etc. Our study reveals Telemedicine to be a profound field with researchers from multidisciplinary sectors. However, there are still many gaps that need to be filled before maturity. Factors such as efficient wireless transmission, cyber data security, sensor design and integration, device miniaturization and intelligent algorithm for multi parameter data fusion require further considerations.


Physiological Health Parameters, Telemedicine, Telehealth, Vital Signs, Wearable Sensors, Wireless Communication

Full Text:


Wang J, Lin CC, Yu YS, Yu TC. Wireless sensor-based smart-clothing platform for ECG monitoring. Computational and Mathematical Methods in Medicine. 2015; 1–8. PMid:26347798 PMCid:PMC4546970.

Maurya A, Bade DS. Design of a wireless health monitoring system based on M2M communication. International Conference on Control, Instrumentation, Communication and Computational Technologies ICCICCT; 2014. p. 949–53.

Mulvaney D, et al. Monitoring heart disease and diabetes with mobile internet communications. International Journal of Telemedicine and Applications. 2012; 1-12. PMid:23213330 PMCid:PMC3505653.

Baig MM, Hosseini HG, Connolly MJ, Kashfi G. Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults. IEEE-EMBS International Conference on Biomedical and Health Informatics; 2014; 355–8.

Priya L, Hariprasad R, Raghul R. Real time monitoring of vital signs using wireless technique. International Conference on Green Computing Communication and Electrical Engineering; 2014. p. 1–7.

Kakria P, Tripathi NK, Kitipawang P. A real-time health monitoring system for remote cardiac patients using smartphone and wearable sensors. International Journal of Telemedicine and Applications. 2015. PMid:26788055 PMCid:PMC4692989.

Brown N, What is telemedicine. Telemedicine Information Exchange (TIE). 1996; 1–11.

Cajita MI, Gleason KT, Han HR. A systematic review of mhealth-based heart failure interventions. Journal of Cardiovascular Nursing. 2016; 31(3):10–22. PMid:26544175 PMCid:PMC4828274.

Zhu Z, Liu T, Li G, Li T, Inoue Y. Wearable sensor systems for infants. Sensors. 2015; 15(2):3721–49. PMid:25664432 PMCid:PMC4367382.

Abo-Zahhad M, Ahmed SM, Elnahas O. A wireless emergency telemedicine system for patients monitoring and diagnosis. International Journal of Telemedicine and Applications. 2014; 1–11. PMid:24883059 PMCid:PMC4026975.

Peng R, Zhou X, Lin W, Zhang Y. Extraction of heart rate variability from smartphone photoplethysmograms. Computational and Mathematical Methods in Medicine. 2015; 1–11. PMid:25685174 PMCid:PMC4309304.

Desai PM, Patel B, Raichura M, Modi A. Heart rate monitor using mobile camera. International Journal of Engineering and Technical Research. 2015; 3(1):241–3.

Wu F, Zhao H, Zhao Y, Zhong H. Development of a wearable-sensor-based fall detection system. International Journal of Telemedicine and Applications. 2015; 1–11. PMid:25784933 PMCid:PMC4346101.

Pierleoni P, Pernini L, Belli A, Palma L. An android-based heart monitoring system for the elderly and for patients with heart disease. International Journal of Telemedicine and Applications. 2014; 1–11. PMid:25210513 PMCid:PMC4152930.

Al-momani O, Gharaibeh KM. Effect of wireless channels on detection and classification of asthma attacks in wireless remote health monitoring systems. International Journal of Telemedicine and Applications. 2014; 1–8. PMid:24678318 PMCid:PMC3941167.

Panicker NV, Kumar AS. Tablet PC enabled body sensor system for rural telehealth applications. International Journal of Telemedicine and Applications. 2016; 1–9. PMid:26884757 PMCid:PMC4739462.

Heikenfeld J. Sweat sensors will change how wearables track your health - your sweat may bring medical diagnostics to fitbits and fuelbands. IEEE Spectrum. 2014.

Gao W, et al. Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis. Nature. 2016; 529(7587):509–14. PMid:26819044 PMCid:PMC4996079.

Patel P. Smart wearable sensor takes sweat-monitoring to next level. IEEE Spectrum. 2016.

Tan G, Beh B. GEOB international SDN BHD -Entrepreneurs create hypoband hailing device to help patients; 2009. Available from:

Mazhar F, Haider N. Some unique considerations in treatment of multiple sclerosis. Asian J Pharm Res Heal Care. 2016; 8(3):72–5.


  • There are currently no refbacks.