Evidence map›Paper›PMID 40110116›Full record

ArticleFrontiers in digital health2025

Noncontact evaluation of autonomic nervous system activity during exercise by using video analysis.

Kanaru Fumimoto, Shima Okada, Ryohei Tsuji, Yusuke Sakaue, Naruhiro Shiozawa, Hieyong Jeong, Masaaki Makikawa

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Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kanaru FumimotoGraduate School of Science and Engineering, Ritsumeikan University, Shiga, Japan.
Shima OkadaDepartment of Robotics, Faculty of Science and Engineering, Ritsumeikan University, Shiga, Japan.
Ryohei TsujiGraduate School of Science and Engineering, Ritsumeikan University, Shiga, Japan.
Yusuke SakaueGlabal Innovation Research Organization, Ritsumeikan University, Shiga, Japan.
Naruhiro ShiozawaFaculty of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Hieyong JeongDepartment of Artificial Intelligence Convergence, Chonnam National University, Gwangju, Republic of Korea.
Masaaki MakikawaResearch Organization of Science and Technology, Ritsumeikan University, Shiga, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Autonomic nervous system activity (ANSA) plays a crucial role in the physical condition experienced during exercise and prolonged physical activity. In other words, ANSA is related to exercise performance and physical condition. Therefore, it is important to continuously monitor ANSA during high-intensity and sustained exercise. To this end, an uncomplicated and noncontact measurement system is preferable. Hence, in this study, we propose a method for the noncontact measurement of capillary contraction and dilation state, representative of ANSA, using a common commercial camera. Methods: Specifically, we focused on alterations in the green value of facial video images, from which we derived the green-to-blue (G/B) ratio as an indicator of blood vessel dilation and contraction, and to facilitate assessment of their activity. We performed a validation experiment involving exercise tasks using an ergometer in 10 healthy adults (23 ± 1.6 years old). The G/B ratio shows the state of contraction and expansion of facial capillaries, and it was evaluated using heart rate as ground truth data of the fluctuation of autonomic nerve activity. Results: We observed an increase in heart rate with decreased G/B ratio during exercise in all subjects. Postexercise, the heart rate decreased but the G/B ratio increased. Discussion: During exercise, characterized by dominant sympathetic NSA, the G/B ratio decreased, and recovered after exercise when parasympathetic NSA was dominant. In this way, noncontact evaluation of ASNA was achieved by using the G/B ratio. In the future, this measurement system will be applied to functional tests for heat acclimation.

Indexed as

autonomic nervous system activitycirculatory systemcomplexionfacial capillariesRGB camera

Identifiers

PMID40110116
PMCPMC11919914

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.