Real-Time Video-based Heart and Respiration Rate Monitoring

Jafar Pourbemany; Almabrok Essa; Y e Zhu

doi:10.1109/NAECON49338.2021.9696378

Real-Time Video-based Heart and Respiration Rate Monitoring

Jafar Pourbemany
, Almabrok Essa
, Y e Zhu

Computer Science

Cleveland State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Scopus citations

Abstract

In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmo-graphic (PPG) to detect heart rate (HR) and respiration rate (RR). Smartphone cameras also can measure HR by detecting and processing imaging Photoplethysmographic (iPPG) signals from the video of a user's face. Indeed, the variation in the intensity of the green channel can be measured by the iPPG signals of the video. This study aimed to provide a method to extract heart rate and respiration rate using the video of individuals' faces. The proposed method is based on measuring fluctuations in the Hue and can therefore extract both HR and RR from the video of a user's face. The proposed method is evaluated by performing on 25 healthy individuals. For each subject, 20 seconds video of his/her face is recorded. Results show that the proposed approach of measuring iPPG using Hue gives more accurate rates than the Green channel.

Original language	English
Title of host publication	Proceedings of the IEEE National Aerospace Electronics Conference, NAECON
Place of Publication	usa
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	332-336
Number of pages	5
Volume	2021-August
ISBN (Electronic)	9781665448598
DOIs	https://doi.org/10.1109/NAECON49338.2021.9696378
State	Published - Jan 1 2021
Event	2021 IEEE National Aerospace and Electronics Conference, NAECON 2021 - Virtual, Online, United States Duration: Aug 16 2021 → Aug 19 2021

Conference

Conference	2021 IEEE National Aerospace and Electronics Conference, NAECON 2021
Country/Territory	United States
City	Virtual, Online
Period	08/16/21 → 08/19/21

Keywords

heart rate
image processing
iPPG
machine learning
respiration rate
vital signs monitoring

Access to Document

10.1109/NAECON49338.2021.9696378

Cite this

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title = "Real-Time Video-based Heart and Respiration Rate Monitoring",

abstract = "In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmo-graphic (PPG) to detect heart rate (HR) and respiration rate (RR). Smartphone cameras also can measure HR by detecting and processing imaging Photoplethysmographic (iPPG) signals from the video of a user's face. Indeed, the variation in the intensity of the green channel can be measured by the iPPG signals of the video. This study aimed to provide a method to extract heart rate and respiration rate using the video of individuals' faces. The proposed method is based on measuring fluctuations in the Hue and can therefore extract both HR and RR from the video of a user's face. The proposed method is evaluated by performing on 25 healthy individuals. For each subject, 20 seconds video of his/her face is recorded. Results show that the proposed approach of measuring iPPG using Hue gives more accurate rates than the Green channel.",

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Pourbemany, J, Essa, A & Zhu, YE 2021, Real-Time Video-based Heart and Respiration Rate Monitoring. in Proceedings of the IEEE National Aerospace Electronics Conference, NAECON. vol. 2021-August, Institute of Electrical and Electronics Engineers Inc., usa, pp. 332-336, 2021 IEEE National Aerospace and Electronics Conference, NAECON 2021, Virtual, Online, United States, 08/16/21. https://doi.org/10.1109/NAECON49338.2021.9696378

Real-Time Video-based Heart and Respiration Rate Monitoring. / Pourbemany, Jafar; Essa, Almabrok; Zhu, Y e.
Proceedings of the IEEE National Aerospace Electronics Conference, NAECON. Vol. 2021-August usa: Institute of Electrical and Electronics Engineers Inc., 2021. p. 332-336.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhu, Y e

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Y1 - 2021/1/1

N2 - In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmo-graphic (PPG) to detect heart rate (HR) and respiration rate (RR). Smartphone cameras also can measure HR by detecting and processing imaging Photoplethysmographic (iPPG) signals from the video of a user's face. Indeed, the variation in the intensity of the green channel can be measured by the iPPG signals of the video. This study aimed to provide a method to extract heart rate and respiration rate using the video of individuals' faces. The proposed method is based on measuring fluctuations in the Hue and can therefore extract both HR and RR from the video of a user's face. The proposed method is evaluated by performing on 25 healthy individuals. For each subject, 20 seconds video of his/her face is recorded. Results show that the proposed approach of measuring iPPG using Hue gives more accurate rates than the Green channel.

AB - In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmo-graphic (PPG) to detect heart rate (HR) and respiration rate (RR). Smartphone cameras also can measure HR by detecting and processing imaging Photoplethysmographic (iPPG) signals from the video of a user's face. Indeed, the variation in the intensity of the green channel can be measured by the iPPG signals of the video. This study aimed to provide a method to extract heart rate and respiration rate using the video of individuals' faces. The proposed method is based on measuring fluctuations in the Hue and can therefore extract both HR and RR from the video of a user's face. The proposed method is evaluated by performing on 25 healthy individuals. For each subject, 20 seconds video of his/her face is recorded. Results show that the proposed approach of measuring iPPG using Hue gives more accurate rates than the Green channel.

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KW - image processing

KW - iPPG

KW - machine learning

KW - respiration rate

KW - vital signs monitoring

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ER -

Real-Time Video-based Heart and Respiration Rate Monitoring

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Conference

Keywords

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