Abstract
Hypertension, a silent killer, is the biggest
challenge of the 21st century in public health agencies
worldwide [1]. World Health Organization (WHO) statistic
shows that the mortality rate of hypertension is 9.4 million per
year and causes 55.3% of total deaths in cardiovascular (CV)
patients [2]. Early detection and prevention of hypertension can
significantly reduce the CV mortality.
We are presenting a wireless chest wearable vital sign
monitoring platform. It measures Electrocardiogram (ECG),
Photoplethsmogram (PPG) and Ballistocardiogram (BCG)
signals and sends data over Bluetooth low energy (BLE) to
mobile phone–acts as a gateway. A custom android application
relays the data to thingspeak server where MATLAB based
offline analysis estimates the blood pressure. A server reacts on
the health of subject to friends & family on the social media -
twitter.
The chest provides a natural position for the sensor to
capture legitimate signals for hypertension condition. We have
done a clinical technical evaluation of prototypes on 11
normotensive subjects, 9 males 2 females.
| Original language | English |
|---|---|
| Pages | 821-824 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published (in print/issue) - 5 May 2017 |
| Event | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: 11 Jul 2017 → 15 Jul 2017 |
Conference
| Conference | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 11/07/17 → 15/07/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Wireless Chest Wearable Vital Sign Monitoring Platform for Hypertension'. Together they form a unique fingerprint.Student theses
-
Cuffless blood pressure measurement: comparison and validation study of the arterial waveforms
Janjua, G. M. W. (Author), Mc Laughlin, J. (Supervisor) & Finlay, D. (Supervisor), Dec 2020Student thesis: Doctoral Thesis
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