A fusion health monitoring using ECG and accelerometer sensors for elderly persons at home.
An ECG and tri-axial accelerometer signal monitoring and analysis method for the homecare of elderly persons or patients, using wireless sensors technology was design and implemented. This paper presents a prototype of wellness monitoring system capable of recording, and analyzing continuous ECG and accelerometer data received from the human body. The system provides an application for recording activities, events and potentially important medical symptoms. The ECG features are used to detect life-threatening arrhythmias, with an emphasis on the software for analyzing the P-wave, QRS complex, and T-wave in ECG signals at server connected to base station which is receiving data from the wireless sensor on the patient body. Activity such as walking and running are detected from the body movements recorded by the accelerometer sensor. IEEE802.15.4 is used for wireless communication between sensor and base station. If any abnormality occurs at server then the alarm condition sends to the doctor' Personal Digital Assistant (PDA).
Chung
Wan-Young
WY
Division of Computer & Information Engineering, Dongseo University, Busan, Korea. wchung@dongseo.ac.kr
Bhardwaj
Sachin
S
Punvar
Amit
A
Lee
Dae-Seok
DS
Myllylae
Risto
R
D000368:Aged; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation / Q000379:methods; D004867:Equipment Design; D005260:Female; D006299:Health Services for the Aged; D006801:Humans; D020407:Internet / Q000295:instrumentation; D008297:Male; D008875:Middle Aged; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013686:Telemetry / Q000295:instrumentation / Q000379:methods