TY  - JOUR
T1  - Novel Integrated Sensor Based Sleep Apnea Monitoring and Tracking System Using Soft Computing and Persuasive Technology for Healthcare Suppor
AU - Rana, Atiya Masood AU - Saleem, Hussain 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 7
IS  - 2
SP  - 43
EP  - 48
PY  - 2014
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2014.43.48
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2014.43.48
KW  - Embedded systems
KW  - fuzzy logic
KW  -healthcare
KW  -neural network
KW  -neural network
KW  -polysomnography
KW  -sleep apnea
KW  -soft computing
KW  -virtual health informatics
AB  - The Obstructive Sleep Apnea (OSA) is a disease which blocks airway during 
  sleep, leading to serious consequences. There is a need for Polysomnography 
  (PSG), i.e., simultaneous and continuous monitoring of normal and abnormal physiological 
  activity during sleep. The current standard of diagnosis for OSA and PSG requires 
  hospitalization of patient spending one full day at hospital which is an expensive, 
  un-affordable and inconvenient procedure for each and every patient. So, the 
  home monitoring sleep apnea system is needed that would provide an inexpensive 
  and comfortable instant alert system for virtual healthcare solution. This research 
  proposes an embedded system that processes different bio signals, persuasive 
  technology for sleep pattern analysis that then using data mining and soft computing 
  method for inference and diagnosis of OSA. The proposed solution is a low cost, 
  low power, reliable, non-intrusive and non-invasive vital signs monitor that 
  processes and analyses the sleep data pattern and transmit it to the health 
  informatics system using wireless communication medium, e.g., RFID to get retrieval 
  on smart phone and other workstations. The diagnosis of OSA is done by using 
  soft computing approach.
ER  -