Contactless Heart Monitoring (CHM)

Mohammadzadeh, Farshid; Taghibakhsh, Farhad; Kaminska, Bożena

doi:10.1109/ccece.2007.150

Cited by 15 publications

(9 citation statements)

References 6 publications

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“…However, the chest displacement due to heartbeat alone ranges between 0.2 and 0.5 mm [2]. Also at rest, the respiration rate varies between 0.1 and 0.3 Hz while the heartbeat rate changes in the 1-3 Hz interval [3].…”

Section: Introductionmentioning

confidence: 99%

A Tunable System for Contact-Less Heartbeat Detection and a Modeling Approach

Obeid

Sadek

Zaharia

et al. 2009

2009 IEEE International Conference on Communications Workshops

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The aim of this work is to present a practical study to detect heartbeats from distance, as well as cardiopulmonary activity modeling and simulation, in order to separate the heart and the respiration signals. Using a Vector Network Analyzer, measurements are taken at 2.4, 5.8, 10, 16 and 60 GHz. The Matlab simulation permits comparing several signal processing techniques in order to identify the most accurate one.

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Section: Introductionmentioning

confidence: 99%

A Tunable System for Contact-Less Heartbeat Detection and a Modeling Approach

Obeid

Sadek

Zaharia

et al. 2009

2009 IEEE International Conference on Communications Workshops

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“…At rest, the variation of the chest displacement, caused by respiration, is between 4 and 12 mm [3], and the chest displacement due to heartbeat alone ranges between 0.2 and 0.5 mm [4]. The respiration rate corresponds to a frequency that varies between 0.1 and 0.3 Hz, while the heartbeat rate (HR) corresponds to a frequency that varies between 1 and 3 Hz [5].…”

Section: Introductionmentioning

confidence: 99%

Microwave doppler radar for heartbeat detection vs electrocardiogram

Obeid¹,

Zaharia

Sadek

et al. 2012

Micro & Optical Tech Letters

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This article presents a contact‐less system to detect the heartbeat activity from a distance of 1 m. The proposed system is based on using a vector network analyzer. Measurements are performed at 16 GHz for different power levels between 0 and −25 dBm. Results for two S‐parameters are obtained and compared to an electrocardiogram simultaneous signal in terms of heartbeat rate and heart rate variability. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:2610–2617, 2012; this online at wileyonlinelibrary.com. DOI 10.1002/mop.27152

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“…In addition, methods that do not measure mechanical forces directly, but do it at a distance, have emerged. Laser vibrocardiography (Scalise et al, 2005) measures the movements of the body with a beam of laser pointed at the patient, whereas radar mechanography (Michahelles et al, 2004;Mohammad-Zadeh et al, 2007) is based on a Doppler radar.…”

Section: Introductionmentioning

confidence: 99%

A respiratory latent variable model for mechanically measured heartbeats

Paalasmaa¹

2010

Physiol. Meas.

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The effect of respiration on heartbeats in a mechanically measured cardiac signal was noticed already in the first respiratory ballistocardiography studies in the 1920s. The effect was described as a modulation of the heartbeat amplitude, and that view has persisted. Although a reasonable approximation, amplitude modulation is not an accurate description of the respiratory effect. In this paper, the respiratory variation is described with a linear latent variable model, where the direction of variation can be distinct from the direction of amplitude. The model was evaluated with seven ballistocardiograms from three healthy test subjects. Based on a Bayesian information criterion analysis, it was found to describe the variation accurately in all the cases. As the modelling of the heartbeat shape is improved, existing heartbeat detection methods can be made more accurate by applying the proposed model.

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Contactless Heart Monitoring (CHM)

Cited by 15 publications

References 6 publications

A Tunable System for Contact-Less Heartbeat Detection and a Modeling Approach

A Tunable System for Contact-Less Heartbeat Detection and a Modeling Approach

Microwave doppler radar for heartbeat detection vs electrocardiogram

A respiratory latent variable model for mechanically measured heartbeats

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