Dynamic heart rate estimation using principal component analysis
In this paper, facial images from various video sequences are used to obtain a heart rate reading. In this study, a video camera is used to capture the facial images of eight subjects whose heart rates vary dynamically, between 81 and 153 BPM. Principal component analysis (PCA) is used to recover th...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Optical Society of America
2015
|
| Subjects: |
| _version_ | 1796960661035548672 |
|---|---|
| author | Yu, Y.P. Paramesran, Raveendran Lim, C.L. Kwan, B.H. |
| author_facet | Yu, Y.P. Paramesran, Raveendran Lim, C.L. Kwan, B.H. |
| author_sort | Yu, Y.P. |
| collection | UM |
| description | In this paper, facial images from various video sequences are used to obtain a heart rate reading. In this study, a video camera is used to capture the facial images of eight subjects whose heart rates vary dynamically, between 81 and 153 BPM. Principal component analysis (PCA) is used to recover the blood volume pulses (BVP) which can be used for the heart rate estimation. An important consideration for accuracy of the dynamic heart rate estimation is to determine the shortest video duration that realizes it. This video duration is chosen when the six principal components (PC) are least correlated amongst them. When this is achieved, the first PC is used to obtain the heart rate. The results obtained from the proposed method are compared to the readings obtained from the Polar heart rate monitor. Experimental results show the proposed method is able to estimate the dynamic heart rate readings using less computational requirements when compared to the existing method. The mean absolute error and the standard deviation of the absolute errors between experimental readings and actual readings are 2.18 BPM and 1.71 BPM respectively. |
| first_indexed | 2024-03-06T05:47:59Z |
| format | Article |
| id | um.eprints-19337 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:47:59Z |
| publishDate | 2015 |
| publisher | Optical Society of America |
| record_format | dspace |
| spelling | um.eprints-193372019-09-20T08:30:39Z http://eprints.um.edu.my/19337/ Dynamic heart rate estimation using principal component analysis Yu, Y.P. Paramesran, Raveendran Lim, C.L. Kwan, B.H. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering In this paper, facial images from various video sequences are used to obtain a heart rate reading. In this study, a video camera is used to capture the facial images of eight subjects whose heart rates vary dynamically, between 81 and 153 BPM. Principal component analysis (PCA) is used to recover the blood volume pulses (BVP) which can be used for the heart rate estimation. An important consideration for accuracy of the dynamic heart rate estimation is to determine the shortest video duration that realizes it. This video duration is chosen when the six principal components (PC) are least correlated amongst them. When this is achieved, the first PC is used to obtain the heart rate. The results obtained from the proposed method are compared to the readings obtained from the Polar heart rate monitor. Experimental results show the proposed method is able to estimate the dynamic heart rate readings using less computational requirements when compared to the existing method. The mean absolute error and the standard deviation of the absolute errors between experimental readings and actual readings are 2.18 BPM and 1.71 BPM respectively. Optical Society of America 2015 Article PeerReviewed Yu, Y.P. and Paramesran, Raveendran and Lim, C.L. and Kwan, B.H. (2015) Dynamic heart rate estimation using principal component analysis. Biomedical Optics Express, 6 (11). pp. 4610-4618. ISSN 2156-7085, DOI https://doi.org/10.1364/BOE.6.004610 <https://doi.org/10.1364/BOE.6.004610>. http://dx.doi.org/10.1364/BOE.6.004610 doi:10.1364/BOE.6.004610 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Yu, Y.P. Paramesran, Raveendran Lim, C.L. Kwan, B.H. Dynamic heart rate estimation using principal component analysis |
| title | Dynamic heart rate estimation using principal component analysis |
| title_full | Dynamic heart rate estimation using principal component analysis |
| title_fullStr | Dynamic heart rate estimation using principal component analysis |
| title_full_unstemmed | Dynamic heart rate estimation using principal component analysis |
| title_short | Dynamic heart rate estimation using principal component analysis |
| title_sort | dynamic heart rate estimation using principal component analysis |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT yuyp dynamicheartrateestimationusingprincipalcomponentanalysis AT paramesranraveendran dynamicheartrateestimationusingprincipalcomponentanalysis AT limcl dynamicheartrateestimationusingprincipalcomponentanalysis AT kwanbh dynamicheartrateestimationusingprincipalcomponentanalysis |