NDLI: A Fusion Health Monitoring Using ECG and Accelerometer sensors for Elderly Persons at Home

Content Provider	IEEE Xplore Digital Library
Author	Wan-Young Chung Bhardwaj, S. Purwar, A. Dae-Seok Lee Myllylae, R.
Copyright Year	2007
Description	Author affiliation: Dongseo Univ., Pusan (Wan-Young Chung)
Abstract	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).
Starting Page	3818
Ending Page	3821
File Size	2681416
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353164
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Accelerometers Sensor fusion Senior citizens Patient monitoring Signal analysis Wireless sensor networks Base stations Personal digital assistants Signal design
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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