Publication Type:

Journal Article

Source:

Advances in Intelligent Systems and Computing, Springer Verlag, Volume 308 AISC, Number VOLUME 1, Bhubaneswar, p.745-752 (2015)

ISBN:

9788132220114

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84906923797&partnerID=40&md5=ae59ae7c6ac8e865aadcd5166b62ef22

Keywords:

Bioelectric phenomena, Biomedical equipment, Biomedical signal, Blood pressure, Conventional methods, Cuffless blood pressure measurement, Diagnosis, Disease treatment, Electrocardiography, Intelligent computing, Patient treatment, Photoplethysmography, PhysioNet, Portable electronic devices, Private database, Wearable medical devices

Abstract:

<p>The advent of technology has made great leaps from the conventional methods of disease treatment. Nowadays, there has been a great shift toward continual monitoring, early detection, and prevention of diseases. Complimenting to this is the innovation of wearable medical devices. Wearable medical devices are portable electronic devices embedded in the user's outfit. This not only facilitates faster treatment but also ensures comfortable diagnostic environment for the patient. ECG and PPG signals are of prime importance when the continual monitoring of the cardiac state of the patient is concerned. Hence, using a wearable medical device, the biomedical signals can be easily obtained and interpreted. This paper discusses a method to measure blood pressure from ECG and PPG signals acquired from the device. To realize the method, various algorithms for the implementation were coded in MATLAB. The algorithm was tested on records taken from PhysioNet ATM and a private database. © Springer India 2015.</p>

Notes:

cited By 0; Conference of 1st International Conference on Intelligent Computing, Communication and Devices, ICCD 2014 ; Conference Date: 18 April 2014 Through 19 April 2014; Conference Code:107335

Cite this Research Publication

R. K. Megalingam, Unnikrishnan, U., Subash, A., Pocklassery, G., Thulasi, A. A., Mourya, G., and Jayakrishnan, V., “Wearable Medical Devices in Preventive Health Care: Cuffless Blood Pressure Measurement”, Advances in Intelligent Systems and Computing, vol. 308 AISC, pp. 745-752, 2015.