A system for personalized health care with ECG and EEG signals for analysis
Refereed conference paper presented and published in conference proceedings

Times Cited
Altmetrics Information

Other information
AbstractWith the popularity of smart phone and mobile application, many traditional services can leverage the technology to provide the service in a more effective and efficient way. Mobile health care is one application for the practice of medicine and public health by using mobile devices. Moreover, health care sensors are available and economical in the market nowadays, so that people can easily use the sensors to keep track of their health. In this paper, we propose a system for personalized health care targeting at the analysis of ECG and EEG signals through the integration of mobile sensors, mobile application and web interface. Users can use the system to keep track of their health information, and their doctors / coaches / trainers (henceforth referred to a health advisors) can also keep track of the information through the system. Users and their health advisors can also communicate through the system so that they can communicate anywhere at any time.
Acceptance Date01/08/2017
All Author(s) ListKwok-Kit Tong, Kwong-Sak Leung, Yee Leung
Name of Conference2017 International Smart Cities Conference (ISC2)
Start Date of Conference14/09/2017
End Date of Conference17/09/2017
Place of ConferenceChina
Country/Region of ConferenceChina
Proceedings Title2017 International Smart Cities Conference (ISC2)
LanguagesEnglish-United States
Keywordspersonalised health system, ECG signal

Last updated on 2021-22-01 at 01:40