Heart rate monitoring via remote photoplethysmography with motion artifacts reduction

Cennini, Giovanni; Arguel, Jeremie; Akşit, Kaan; Leest, Arno van

doi:10.1364/oe.18.004867

Cited by 110 publications

(52 citation statements)

References 12 publications

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“…5,13 However, it assumes that signals are steady state when physiological signals are transient in nature. Hulsbusch and Blazek have shown that the uncritical use of the FT could lead to misinterpretation of perfusion PPG signals.…”

Section: Photoplethysmography Signal Processingmentioning

confidence: 99%

“…[4][5][6]12 This drawback limits the physiological monitoring capabilities of the technique in real application environments (i.e., hospital, homecare, and sports performance assessment). In recent years, several methods, such as blind source separation, 7 Least-mean-square adaptive filtering, 13 independent component analysis (ICA), 14 and single-channel ICA (SCICA), 15 have been proposed for removal of noise from biomedical signals. The SCICA method, introduced by James and Lowe 15 and James et al 16 has proved to be a superior solution to other available techniques because of its ability to decompose a single-channel recording into its underlying components (physiological or otherwise), using only the inherent temporal information independently of the components' origin.…”

Section: Introductionmentioning

confidence: 99%

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Motion-compensated noncontact imaging photoplethysmography to monitor cardiorespiratory status during exercise

et al. 2011

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Abstract. With the advance of computer and photonics technology, imaging photoplethysmography [(PPG), iPPG] can provide comfortable and comprehensive assessment over a wide range of anatomical locations. However, motion artifact is a major drawback in current iPPG systems, particularly in the context of clinical assessment. To overcome this issue, a new artifact-reduction method consisting of planar motion compensation and blind source separation is introduced in this study. The performance of the iPPG system was evaluated through the measurement of cardiac pulse in the hand from 12 subjects before and after 5 min of cycling exercise. Also, a 12-min continuous recording protocol consisting of repeated exercises was taken from a single volunteer. The physiological parameters (i.e., heart rate, respiration rate), derived from the images captured by the iPPG system, exhibit functional characteristics comparable to conventional contact PPG sensors. Continuous recordings from the iPPG system reveal that heart and respiration rates can be successfully tracked with the artifact reduction method even in high-intensity physical exercise situations. The outcome from this study thereby leads to a new avenue for noncontact sensing of vital signs and remote physiological assessment, with clear applications in triage and sports training. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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Section: Photoplethysmography Signal Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Motion-compensated noncontact imaging photoplethysmography to monitor cardiorespiratory status during exercise

et al. 2011

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“…Fourier Transform (FT), which offers a passage from the time domain to the frequency domain, is widely utilized in conventional PPG signal processing as it straightforwardly provides fundamental information such as heart rate and respiration rate 4,13 . However, it does not allow a combination of the two domains.…”

Section: Signal Processingmentioning

confidence: 99%

Detection of physiological changes after exercise via a remote optophysiological imaging system

Sun

Azorin-Peris

et al. 2011

SPIE Proceedings

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“…It is therefore critical that the device penetrate deep enough to provide detection of arterial vessels in order to determine the pulsatile changes in associated volume between systole and diastole. 3,6,8,9,16,20,23,25,26 In the present study, the interaction between various light wavelengths and skin type was investigated at rest and during exercise. We hypothesized that certain wavelengths of light would provide better light reflectance across skin types represented by a greater peak in modulation.…”

mentioning

confidence: 99%

Influence of skin type and wavelength on light wave reflectance

Fallow

Tarumi

Tanaka

2013

J Clin Monit Comput

129

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DedicationIn dedication to my family, friends, and Jessie for whom I could of not done this without.Their constant support, faith and encouragement provided me with the strength and passion that allowed me to pursue my dreams. They are my foundation and worked just as hard as I did being here for me. Thank you with all my heart and love.v Acknowledgements A very special thanks to Dr. Tanaka my primary investigator and advisor, whom kept me on track and taught me that research, is more than just knowledge; it is a complete pursuit and dedication. His ability to drive and teach were great examples and helped me grow as a graduate student and researcher but also as a person. Thanks to Dr.Brothers for being my second reader and providing a second set of eyes to my ideas. Heart rate monitoring (HRM) is an essential tool for monitoring physical activity and as a diagnostic tool in the clinical setting. The ability to monitor heart rate gives users and clinicians vital information about the current condition of the cardiovascular system before, during, and after exercise. However, HRM requires a telemetric chest strap, and comfort, transmission and fit can become problems with the chest strap. New technology using photoplethysmography (PPG) has emerged recently to provide the possibility of HRM without a telemetric chest strap during exercise. The aim of this study was to determine if a new device could detect heart rate over a broad range of skin types (I-V), and whether what wavelength would be most suitable for detecting the signals. A light emitting diode (LED) based PPG system was used to determine heart rate by change in pulsatile blood flow on 22 apparently healthy individuals (11 male and 11 female, 20-59 years old) of varying skin type. Skin type was classified according to a questionnaire in combination with digital photographs with a skin type chart. Each subject was exposed to four different wavelengths (470 nm, 520 nm, 630 nm, and 880 nm) and multiple trials were conducted on each wavelength. Heart rate detection was vii represented by modulation of the incident light wave and normalized by saturation into a pulsatile waveform represented as modulation average. The 520nm wavelength classified as visible green light provided a significantly greater (p<0.001) ability to detect heart rate. Increasing levels of melanin, or darker skin type (Type V) showed decreased modulation however this trend was not significant (p<0.067). There was no significant interaction between the wavelength of light and the skin type. In conclusion, a PPG based device can detect heart rate across skin types and use of a green light wavelength provides an even greater resolution.viii

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Heart rate monitoring via remote photoplethysmography with motion artifacts reduction

Cited by 110 publications

References 12 publications

Motion-compensated noncontact imaging photoplethysmography to monitor cardiorespiratory status during exercise

Motion-compensated noncontact imaging photoplethysmography to monitor cardiorespiratory status during exercise

Detection of physiological changes after exercise via a remote optophysiological imaging system

Influence of skin type and wavelength on light wave reflectance

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