Pervasive blood pressure monitoring using Photoplethysmogram (PPG) sensor
- Submitting institution
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The University of West London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11036
- Type
- D - Journal article
- DOI
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10.1016/j.future.2019.02.032
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 120
- Volume
- 98
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work investigated using Photoplethysmogram (PPG) signals to achieve continuous blood pressure (BP) monitoring, addressing challenges such as accuracy, constrained devices and limited power supply. Crucially, a novel feature set was proposed by identifying peaks and valleys in a PPG signal followed by calculating rising time, falling time and peak-to-peak distance and their histograms to classify PPG signals into normal or abnormal BP. The effectiveness of the proposed method was meticulously demonstrated by conducting comprehensive experiments.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -