Illumination Robust Heart-rate Extraction from Single-wavelength Infrared Camera Using Spatial-channel Expansion

Jingjing Hu; Yunze He; Jie Liu; Min He; Wenjin Wang

doi:10.1109/EMBC.2019.8856516

Illumination Robust Heart-rate Extraction from Single-wavelength Infrared Camera Using Spatial-channel Expansion

Jingjing Hu, Yunze He, Jie Liu, Min He, Wenjin Wang

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

8 Citations (Scopus)

Abstract

Heart rate (HR) is one of the most important vital signs for indicating the health condition of a person. Contactless camera-based HR measurement is particularly beneficial for sleep monitoring, as it is comfortable and convenient. However, compared with ambient light, the skin pulsation in near infrared range is much weaker and more susceptible to distortions (e.g. body motion, light changes). In this paper, we propose a method to expand the single-wavelength channel of a near infrared camera to multiple channels for illumination noise reduction, where the channel expansion is performed in the spatial domain using skin and non-skin pixels. The essence is using illumination changes of non-skin pixels to eliminate such a distortion on skin pixels and thus improve pulse extraction. On average, measurement coverage increased from 50% to 83% for the methods of subtraction and Segment Principal Component Analysis (Seg-PCA), and Signal-to-Noise Ratio (SNR) is increased from -8.40 dB to -4.62 dB for the method of Segment Independent Component Analysis (Seg-ICA).

Original language	English
Title of host publication	2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Publisher	Institute of Electrical and Electronics Engineers
Pages	3896-3899
Number of pages	4
ISBN (Electronic)	9781538613115
DOIs	https://doi.org/10.1109/EMBC.2019.8856516
Publication status	Published - Jul 2019
Event	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - City Cube Berlin, Berlin, Germany Duration: 23 Jul 2019 → 27 Jul 2019 https://embc.embs.org/2019/

Conference

Conference	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Abbreviated title	EMBC 2019
Country/Territory	Germany
City	Berlin
Period	23/07/19 → 27/07/19
Internet address	https://embc.embs.org/2019/

Keywords

Algorithms
Heart Rate
Humans
Lighting
Photoplethysmography
Principal Component Analysis
Signal Processing, Computer-Assisted
Signal-To-Noise Ratio

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10.1109/EMBC.2019.8856516

Cite this

Hu, J., He, Y., Liu, J., He, M., & Wang, W. (2019). Illumination Robust Heart-rate Extraction from Single-wavelength Infrared Camera Using Spatial-channel Expansion. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (pp. 3896-3899). Article 8856516 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2019.8856516

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title = "Illumination Robust Heart-rate Extraction from Single-wavelength Infrared Camera Using Spatial-channel Expansion",

abstract = "Heart rate (HR) is one of the most important vital signs for indicating the health condition of a person. Contactless camera-based HR measurement is particularly beneficial for sleep monitoring, as it is comfortable and convenient. However, compared with ambient light, the skin pulsation in near infrared range is much weaker and more susceptible to distortions (e.g. body motion, light changes). In this paper, we propose a method to expand the single-wavelength channel of a near infrared camera to multiple channels for illumination noise reduction, where the channel expansion is performed in the spatial domain using skin and non-skin pixels. The essence is using illumination changes of non-skin pixels to eliminate such a distortion on skin pixels and thus improve pulse extraction. On average, measurement coverage increased from 50% to 83% for the methods of subtraction and Segment Principal Component Analysis (Seg-PCA), and Signal-to-Noise Ratio (SNR) is increased from -8.40 dB to -4.62 dB for the method of Segment Independent Component Analysis (Seg-ICA).",

keywords = "Algorithms, Heart Rate, Humans, Lighting, Photoplethysmography, Principal Component Analysis, Signal Processing, Computer-Assisted, Signal-To-Noise Ratio",

author = "Jingjing Hu and Yunze He and Jie Liu and Min He and Wenjin Wang",

year = "2019",

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doi = "10.1109/EMBC.2019.8856516",

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booktitle = "2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019",

publisher = "Institute of Electrical and Electronics Engineers",

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note = "41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019<br/>, EMBC 2019 ; Conference date: 23-07-2019 Through 27-07-2019",

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Hu, J, He, Y, Liu, J, He, M & Wang, W 2019, Illumination Robust Heart-rate Extraction from Single-wavelength Infrared Camera Using Spatial-channel Expansion. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8856516, Institute of Electrical and Electronics Engineers, pp. 3896-3899, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
, Berlin, Berlin, Germany, 23/07/19. https://doi.org/10.1109/EMBC.2019.8856516

Illumination Robust Heart-rate Extraction from Single-wavelength Infrared Camera Using Spatial-channel Expansion. / Hu, Jingjing; He, Yunze; Liu, Jie et al.
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers, 2019. p. 3896-3899 8856516.

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

TY - GEN

T1 - Illumination Robust Heart-rate Extraction from Single-wavelength Infrared Camera Using Spatial-channel Expansion

AU - Hu, Jingjing

AU - He, Yunze

AU - Liu, Jie

AU - He, Min

AU - Wang, Wenjin

PY - 2019/7

Y1 - 2019/7

N2 - Heart rate (HR) is one of the most important vital signs for indicating the health condition of a person. Contactless camera-based HR measurement is particularly beneficial for sleep monitoring, as it is comfortable and convenient. However, compared with ambient light, the skin pulsation in near infrared range is much weaker and more susceptible to distortions (e.g. body motion, light changes). In this paper, we propose a method to expand the single-wavelength channel of a near infrared camera to multiple channels for illumination noise reduction, where the channel expansion is performed in the spatial domain using skin and non-skin pixels. The essence is using illumination changes of non-skin pixels to eliminate such a distortion on skin pixels and thus improve pulse extraction. On average, measurement coverage increased from 50% to 83% for the methods of subtraction and Segment Principal Component Analysis (Seg-PCA), and Signal-to-Noise Ratio (SNR) is increased from -8.40 dB to -4.62 dB for the method of Segment Independent Component Analysis (Seg-ICA).

AB - Heart rate (HR) is one of the most important vital signs for indicating the health condition of a person. Contactless camera-based HR measurement is particularly beneficial for sleep monitoring, as it is comfortable and convenient. However, compared with ambient light, the skin pulsation in near infrared range is much weaker and more susceptible to distortions (e.g. body motion, light changes). In this paper, we propose a method to expand the single-wavelength channel of a near infrared camera to multiple channels for illumination noise reduction, where the channel expansion is performed in the spatial domain using skin and non-skin pixels. The essence is using illumination changes of non-skin pixels to eliminate such a distortion on skin pixels and thus improve pulse extraction. On average, measurement coverage increased from 50% to 83% for the methods of subtraction and Segment Principal Component Analysis (Seg-PCA), and Signal-to-Noise Ratio (SNR) is increased from -8.40 dB to -4.62 dB for the method of Segment Independent Component Analysis (Seg-ICA).

KW - Algorithms

KW - Heart Rate

KW - Humans

KW - Lighting

KW - Photoplethysmography

KW - Principal Component Analysis

KW - Signal Processing, Computer-Assisted

KW - Signal-To-Noise Ratio

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EP - 3899

BT - 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019

PB - Institute of Electrical and Electronics Engineers

T2 - 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019<br/>

Y2 - 23 July 2019 through 27 July 2019

ER -

Illumination Robust Heart-rate Extraction from Single-wavelength Infrared Camera Using Spatial-channel Expansion

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