2023 Fiscal Year Research-status Report
Development of dynamics preserving method for extraction of imaging photoplethysmogram signal from a conventional camera's video recordings.
Project/Area Number |
19K14589
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Research Institution | Tokyo City University |
Principal Investigator |
スヴィリドヴァ ニーナ 東京都市大学, 情報工学部, 講師 (70782829)
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Project Period (FY) |
2019-04-01 – 2025-03-31
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Keywords | photoplethysmogram / remote sensing / nonlinear dynamics / time series analysis |
Outline of Annual Research Achievements |
In Fiscal Year 2023, the main focus was on analyzing various aspects of imaging photoplethysmogram (iPPG) dynamics and its dependence on the data recording protocol. Close attention was paid to dynamics characteristics, such as determinism, predictability, complexity, etc., changes in the iPPG signals recorded by conventional mobile devices such as tablets and smartphones. During this fiscal year, various video datasets were recorded by the iPad with camera specifications similar to the majority of modern smartphones. Additionally, reference photoplethysmogram (PPG) signals were recorded simultaneously. Time series data were extracted from the videos, and their dynamical characteristics were thoughtfully analyzed by the methods of nonlinear time series analysis and compared to those of conventional PPG signals recorded by specialized pulse oximeters. Results confirmed that it is possible to record iPPG signals using a mobile device camera with dynamical characteristics compatible with those of the PPGs. Thus, depending on the recording protocol, iPPG data preserving essential dynamical characteristics, i.e. determinism, trajectory divergence, and predictability, were obtained, which is an essential result for applications in the area of daily health monitoring.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Numerous datasets were collected and analyzed. The obtained results demonstrated the possibility of recording signals comparable to PPGs from pulse oximeters by conventional mobile device cameras. The results were presented at academic conferences.
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Strategy for Future Research Activity |
Numerous PPG and iPPG data sets were collected and analyzed in fiscal year 2023. In the fiscal year 2024, further analysis of collected datasets will be performed, and additional datasets will be collected to achieve better statistical significance of the results. The results obtained so far, and the further analysis results will be presented in academic conferences and published as a research paper. If challenges are encountered during further data analysis or results interpretation, a second opinion and advice will be sought from the faculty members of Tokyo City University, who specialize in various fields related to signal processing and statistical analysis.
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Causes of Carryover |
Due to the novel coronavirus's effect, data collection and participation in academic conferences were delayed during the project's first years. Therefore, the remaining amount will be used to participate in academic conferences to present the obtained research results.
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