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Content Provider | IET Digital Library |
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Author | P., Madhan Mohan V., Nagarajan C., Vignesh J. |
Abstract | Heart rate (HR) is one of the vital signs in healthcare monitoring systems. The traditional medical devices are very expensive and the accessibility of these devices is limited. So the objective is to propose an efficient framework to monitor the HR at on-demand and continuous modes during rest conditions, which are a typical use case. The proposed framework is based on combining the time-domain (TD) and frequency-domain (FD) analysis. This hybrid approach would handle the different signal conditions to improve the results. The proposed method is compared with the standard ECG device and the real-time results show that the HR is calculated accurately with an average pass percentage of 97.85, mean absolute percentage error of 1.99%, mean absolute error of 1.51 BPM and reference closeness factor of 0.977. The reliable on-demand HR output from the proposed method comes in 6th second, which is the minimum possible time. The results show that the proposed method is efficient in estimating the HR and the results are comparable with other methods. So the proposed method can be targeted to wearable devices to accurately monitor the HR at rest conditions. |
Starting Page | 1076 |
Ending Page | 1082 |
Page Count | 7 |
ISSN | 17519675 |
Volume Number | 11 |
e-ISSN | 17519683 |
Issue Number | Issue 9, Dec (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/11/9 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0455 |
Journal | IET Signal Processing |
Publisher Date | 2017-07-18 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Biology And Medical Computing Biomedical Imaging/measurement Cardiology Continuous Modes Continuous Monitoring Digital Signal Processing FD Estimation Frequency Domain Analysis Healthcare Healthcare Monitoring System Heart Rate Monitoring HR Monitoring Mathematical Analysis Medical Signal Processing Optical And Laser Radiation Patient Diagnostic Method And Instrumentation Patient Monitoring Photoplethysmographic Signal Photoplethysmography Signal Morphology Signal Processing And Detection Spectral Analysis Spot Monitoring TD Analysis Time Domain Analysis Wearable Device |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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