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2022 年度 実施状況報告書

Development of dynamics preserving method for extraction of imaging photoplethysmogram signal from a conventional camera's video recordings.

研究課題

研究課題/領域番号 19K14589
研究機関東京理科大学

研究代表者

スヴィリドヴァ ニーナ  東京理科大学, 工学部情報工学科, 助教 (70782829)

研究期間 (年度) 2019-04-01 – 2024-03-31
キーワードphotoplethysmogram / time series analysis / nonlinear dynamics / chaos
研究実績の概要

In FY 2022, the dynamics of the photoplethysmogram signals were furtherly investigated. Thoughtful investigation of the data collection parameters effects, such as time series length and sampling, were studied. The results demonstrated the dependence of the dynamical characteristics, extracted by nonlinear time series analysis, from the time series length and sampling rate. Moreover, it was found that the obtained results can be used to detect the minimal time series length required for reliable feature extraction. Furthermore, these results were validated on complex nonlinear models; thus, these results' applicability can be extended to other nonlinear complex signals besides the photoplethysmogram.
Additionally, in this FY imaging photoplethysmogram (iPPG) signals were investigated. First, iPPG signals were successfully extracted from video recordings obtained from an iPad camera. Then its dynamical characteristics were investigated. The results demonstrated significant similarities between reference signals recorded by a conventional pulse oximeter and signals extracted from an iPad camera. This unveils that a smartphone/iPad camera can be used to record photoplethysmographic signals with dynamical characteristics similar to those of conventional pulse oximeters, thus enabling possibilities for photoplethysmogram-based health monitoring applications, such as physiological and mental health monitoring, without any specialized devices.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

The iPPG signals that preserve important chaotic properties, such as positive Lyapunov exponent, were successfully extracted from videos recorded by a conventional iPad camera. Extracted signal properties were carefully investigated and found to be comparable to those of the conventional photoplethysmograms recorded by designated pulse oximeters. Moreover, a fundamental question related to the minimal length of photoplethysmographic signal that can provide reliable analysis results was thoughtfully investigated. Results revealed minimal requirements for the signal length that provide reliable information on the dynamical properties of the signal. These results provide essential insight for the further development of wearable photoplethysmographic devices for personal health monitoring applications.

今後の研究の推進方策

Further research will be conducted to deepen the understanding of iPPGs. First, it is necessary to confirm whether the same quality signals and results on the dynamical characteristics can be obtained from other conventional cameras besides the iPad, to ensure results applicability despite the camera choice. Then the results obtained for conventional PPG signals, such as timeseries length effect on the dynamical features extraction, need to be validated for iPPG signals, as the time series length and especially sampling rate can be limited in the case of data recordings by conventional cameras. These results are expected to be important for establishing affordable daily health monitoring.

次年度使用額が生じた理由

Due to the effect of COVID-2019 data collection experiments were slightly delayed, as well as participation in several international conferences was canceled due to the COVID-19-related travel restrictions. Therefore, in the next FY, the remained part of the fund is planned to be used to conduct additional data collection experiments, to report research results at international conferences, and to publish research papers.

  • 研究成果

    (13件)

すべて 2023 2022

すべて 雑誌論文 (8件) (うち国際共著 4件、 査読あり 5件、 オープンアクセス 1件) 学会発表 (5件) (うち国際学会 2件)

  • [雑誌論文] Study on Minimal Diagonal Line Length Effect on Recurrence Quantification Analysis2023

    • 著者名/発表者名
      Nina Sviridova, Tohru Ikeguchi
    • 雑誌名

      The Institute of Electronics, Information and Communication Engineers Technical Report

      巻: 122(373) ページ: 11-15

  • [雑誌論文] 画像式光電脈波に対するリアプノフ指数の算出2023

    • 著者名/発表者名
      中山裕文、スヴィリドヴァ ニーナ、池口 徹
    • 雑誌名

      信学技報

      巻: 122(436) ページ: 95-99

  • [雑誌論文] Photoplethysmogram Recording Length: Defining Minimal Length Requirement from Dynamical Characteristics2022

    • 著者名/発表者名
      Sviridova Nina、Zhao Tiejun、Nakano Akimasa、Ikeguchi Tohru
    • 雑誌名

      Sensors

      巻: 22 ページ: 5154~5154

    • DOI

      10.3390/s22145154

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] Tabu search for solving multiple-vehicle bike sharing system routing problem with real port distribution2022

    • 著者名/発表者名
      Tsushima Honami、Sviridova Nina、Ikeguchi Tohru
    • 雑誌名

      Proceedings of 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

      巻: - ページ: 402-407

    • DOI

      10.1109/ICECCME55909.2022.9988144

    • 査読あり / 国際共著
  • [雑誌論文] Detecting Determinism in Noisy Time Series with Variable Minimal Diagonal Line Length in Recurrence Quantification Analysis2022

    • 著者名/発表者名
      Nina Sviridova, Tohru Ikeguchi
    • 雑誌名

      Proceedings of International Symposium on Nonlinear Theory and its Applications 2022

      巻: - ページ: 180-183

    • 査読あり / 国際共著
  • [雑誌論文] Towards Defining Minimal Time Series Length for Normalized Recurrence Quantification Analysis2022

    • 著者名/発表者名
      Nina Sviridova, Tohru Ikeguchi
    • 雑誌名

      The Institute of Electronics, Information and Communication Engineers Technical Report

      巻: 122(280) ページ: 97-102

  • [雑誌論文] Consistency of Determinism Detection in Sparse Photoplethysmogram Recordings2022

    • 著者名/発表者名
      Nina Sviridova, Kazuya Sawada, Tohru Ikeguchi
    • 雑誌名

      In Proceedings of the BIBE2022: The Sixth International Conference on Biological Information and Biomedical Engineering

      巻: - ページ: 128-131

    • 査読あり / 国際共著
  • [雑誌論文] Detection of noise-induced determinism decay by recurrence quantification analysis2022

    • 著者名/発表者名
      Nina Sviridova, Tohru Ikeguchi
    • 雑誌名

      2022 IEICE NOLTA Society Conference

      巻: - ページ: NLS-4

    • 査読あり
  • [学会発表] Study on Minimal Diagonal Line Length Effect on Recurrence Quantification Analysis2023

    • 著者名/発表者名
      Nina Sviridova, Tohru Ikeguchi
    • 学会等名
      IEICE NLP
  • [学会発表] Detecting Determinism in Noisy Time Series with Variable Minimal Diagonal Line Length in Recurrence Quantification Analysis.2022

    • 著者名/発表者名
      Nina Sviridova, Tohru Ikeguchi
    • 学会等名
      International Symposium on Nonlinear Theory and its Applications 2022, NOLTA 2022.
    • 国際学会
  • [学会発表] Consistency of Determinism Detection in Sparse Photoplethysmogram Recordings.2022

    • 著者名/発表者名
      Nina Sviridova, Kazuya Sawada, Tohru Ikeguchi
    • 学会等名
      The Sixth International Conference on Biological Information and Biomedical Engineering, BIBE 2022.
    • 国際学会
  • [学会発表] Towards Defining Minimal Time Series Length for Normalized Recurrence Quantification Analysis2022

    • 著者名/発表者名
      Nina Sviridova, Tohru Ikeguchi
    • 学会等名
      IEICE NLP
  • [学会発表] Detection of noise-induced determinism decay by recurrence quantification analysis2022

    • 著者名/発表者名
      Nina Sviridova, Tohru Ikeguchi
    • 学会等名
      2022 IEICE NOLTA Society Conference

URL: 

公開日: 2023-12-25  

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