Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera
We present a new method for measuring photoplethysmogram signals remotely using ambient light and a digital camera that allows for accurate recovery of the waveform morphology (from a distance of 3 m). In particular, we show that the peak-to-peak time between the systolic peak and diastolic peak/inf...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2017
|
| Online Access: | http://hdl.handle.net/1721.1/110626 https://orcid.org/0000-0002-5661-0022 |
| _version_ | 1826209123674357760 |
|---|---|
| author | McDuff, Daniel Jonathan Gontarek, Sarah Picard, Rosalind W. |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science McDuff, Daniel Jonathan Gontarek, Sarah Picard, Rosalind W. |
| author_sort | McDuff, Daniel Jonathan |
| collection | MIT |
| description | We present a new method for measuring photoplethysmogram signals remotely using ambient light and a digital camera that allows for accurate recovery of the waveform morphology (from a distance of 3 m). In particular, we show that the peak-to-peak time between the systolic peak and diastolic peak/inflection can be automatically recovered using the second-order derivative of the remotely measured waveform. We compare measurements from the face with those captured using a contact fingertip sensor and show high agreement in peak and interval timings. Furthermore, we show that results can be significantly improved using orange, green, and cyan color channels compared to the tradition red, green, and blue channel combination. The absolute error in interbeat intervals was 26 ms and the absolute error in mean systolic-diastolic peak-to-peak times was 12 ms. The mean systolic-diastolic peak-to-peak times measured using the contact sensor and the camera were highly correlated, ρ = 0.94 (p <; 0.001). The results were obtained with a camera frame-rate of only 30 Hz. This technology has significant potential for advancing healthcare. |
| first_indexed | 2024-09-23T14:17:36Z |
| format | Article |
| id | mit-1721.1/110626 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:17:36Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1106262022-09-28T19:50:13Z Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera McDuff, Daniel Jonathan Gontarek, Sarah Picard, Rosalind W. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) McDuff, Daniel Jonathan Gontarek, Sarah Picard, Rosalind W. We present a new method for measuring photoplethysmogram signals remotely using ambient light and a digital camera that allows for accurate recovery of the waveform morphology (from a distance of 3 m). In particular, we show that the peak-to-peak time between the systolic peak and diastolic peak/inflection can be automatically recovered using the second-order derivative of the remotely measured waveform. We compare measurements from the face with those captured using a contact fingertip sensor and show high agreement in peak and interval timings. Furthermore, we show that results can be significantly improved using orange, green, and cyan color channels compared to the tradition red, green, and blue channel combination. The absolute error in interbeat intervals was 26 ms and the absolute error in mean systolic-diastolic peak-to-peak times was 12 ms. The mean systolic-diastolic peak-to-peak times measured using the contact sensor and the camera were highly correlated, ρ = 0.94 (p <; 0.001). The results were obtained with a camera frame-rate of only 30 Hz. This technology has significant potential for advancing healthcare. MIT Media Member consortium Nihon Denki Kabushiki Kaisha (NEC fellowship) 2017-07-11T14:49:16Z 2017-07-11T14:49:16Z 2014-07 Article http://purl.org/eprint/type/JournalArticle 0018-9294 1558-2531 http://hdl.handle.net/1721.1/110626 McDuff, Daniel, Sarah Gontarek, and Rosalind W. Picard. “Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera.” IEEE Trans. Biomed. Eng. 61, no. 12 (December 2014): 2948–2954. https://orcid.org/0000-0002-5661-0022 en_US http://dx.doi.org/10.1109/TBME.2014.2340991 IEEE Transactions on Biomedical Engineering Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | McDuff, Daniel Jonathan Gontarek, Sarah Picard, Rosalind W. Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera |
| title | Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera |
| title_full | Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera |
| title_fullStr | Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera |
| title_full_unstemmed | Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera |
| title_short | Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera |
| title_sort | remote detection of photoplethysmographic systolic and diastolic peaks using a digital camera |
| url | http://hdl.handle.net/1721.1/110626 https://orcid.org/0000-0002-5661-0022 |
| work_keys_str_mv | AT mcduffdanieljonathan remotedetectionofphotoplethysmographicsystolicanddiastolicpeaksusingadigitalcamera AT gontareksarah remotedetectionofphotoplethysmographicsystolicanddiastolicpeaksusingadigitalcamera AT picardrosalindw remotedetectionofphotoplethysmographicsystolicanddiastolicpeaksusingadigitalcamera |