Cardiovascular Diseases Detection Using Photo Plethysmography (PPG) Signal Data
Photoplethysmography (PPG) signals have been widely used in clinical practice as diagnostic tools. In this article, techniques of machine learning have been used to improve the detection of cardiovascular disease (CVD) from the PPG signal data. Hypertension and stress are the main causes of the...
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| Format: | Article |
| Language: | English |
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INTI International University
2024
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| Online Access: | http://eprints.intimal.edu.my/1927/ http://eprints.intimal.edu.my/1927/1/jods2024_11.pdf |
| _version_ | 1848766873799229440 |
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| author | Padmavathi, Y. Ushasree, R. Chitra, Batumalai |
| author_facet | Padmavathi, Y. Ushasree, R. Chitra, Batumalai |
| author_sort | Padmavathi, Y. |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Photoplethysmography (PPG) signals have been widely used in clinical practice as diagnostic
tools. In this article, techniques of machine learning have been used to improve the detection
of cardiovascular disease (CVD) from the PPG signal data. Hypertension and stress are the
main causes of the increase in blood pressure (BP), which in turn causes cardiovascular
diseases. The treatment of patients, mainly those who have been suffering from CVD, resulted
in an increment in the death rate. PPG is non-invasive, low-cost, fast, and simple to use. The
signals of PPG are used for figuring out the anomalies in the cardiovascular system. By using
PPG technology, cardiovascular parameters like blood pressure and heart rate are detected. This
article investigates a machine learning and Deep Learning technique, which is Neural Network
(NN), that has been used to assist physicians, this has achieved an accuracy of 98% by using
the PPG-BP data set. |
| first_indexed | 2025-11-14T11:58:04Z |
| format | Article |
| id | intimal-1927 |
| institution | INTI International University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:58:04Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-19272024-06-24T05:45:47Z http://eprints.intimal.edu.my/1927/ Cardiovascular Diseases Detection Using Photo Plethysmography (PPG) Signal Data Padmavathi, Y. Ushasree, R. Chitra, Batumalai QA75 Electronic computers. Computer science QA76 Computer software RC Internal medicine Photoplethysmography (PPG) signals have been widely used in clinical practice as diagnostic tools. In this article, techniques of machine learning have been used to improve the detection of cardiovascular disease (CVD) from the PPG signal data. Hypertension and stress are the main causes of the increase in blood pressure (BP), which in turn causes cardiovascular diseases. The treatment of patients, mainly those who have been suffering from CVD, resulted in an increment in the death rate. PPG is non-invasive, low-cost, fast, and simple to use. The signals of PPG are used for figuring out the anomalies in the cardiovascular system. By using PPG technology, cardiovascular parameters like blood pressure and heart rate are detected. This article investigates a machine learning and Deep Learning technique, which is Neural Network (NN), that has been used to assist physicians, this has achieved an accuracy of 98% by using the PPG-BP data set. INTI International University 2024-06 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1927/1/jods2024_11.pdf Padmavathi, Y. and Ushasree, R. and Chitra, Batumalai (2024) Cardiovascular Diseases Detection Using Photo Plethysmography (PPG) Signal Data. Journal of Data Science, 2024 (11). pp. 1-7. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software RC Internal medicine Padmavathi, Y. Ushasree, R. Chitra, Batumalai Cardiovascular Diseases Detection Using Photo Plethysmography (PPG) Signal Data |
| title | Cardiovascular Diseases Detection Using Photo Plethysmography (PPG)
Signal Data |
| title_full | Cardiovascular Diseases Detection Using Photo Plethysmography (PPG)
Signal Data |
| title_fullStr | Cardiovascular Diseases Detection Using Photo Plethysmography (PPG)
Signal Data |
| title_full_unstemmed | Cardiovascular Diseases Detection Using Photo Plethysmography (PPG)
Signal Data |
| title_short | Cardiovascular Diseases Detection Using Photo Plethysmography (PPG)
Signal Data |
| title_sort | cardiovascular diseases detection using photo plethysmography (ppg)
signal data |
| topic | QA75 Electronic computers. Computer science QA76 Computer software RC Internal medicine |
| url | http://eprints.intimal.edu.my/1927/ http://eprints.intimal.edu.my/1927/ http://eprints.intimal.edu.my/1927/1/jods2024_11.pdf |