A continuous, wearable, and wireless heart monitor using head ballistocardiogram (BCG) and head electrocardiogram (ECG)

He, David Da; Winokur, Eric S.; Sodini, C.G.

doi:10.1109/iembs.2011.6091171

Cited by 70 publications

(51 citation statements)

References 14 publications

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“…One is the pendular oscillatory motion that keeps the head in dynamic equilibrium. Like He et al [7], we found that the vertical direction is the best axis to measure the movement of the upright head caused by pulse because the horizontal axis tends to capture most of the dynamic equilibrium swaying. A second source of involuntary head movement is the bobbing caused by respiration.…”

Section: Head Movementsupporting

confidence: 66%

“…The net acceleration of involuntary vertical head movement has been measured to be around 10 mG (≈ .098 m s 2 ) [7]. The typical duration of the left ventricular ejection time of a heart cycle is approximately 1 3 seconds.…”

Section: Head Movementmentioning

confidence: 99%

“…Such movement has been reported during studies of vestibular activity and as an unwanted artifact during MRI studies [2]. Recently, He et al [7] proposed exploiting head motion measured by accelerometers for heart rate monitoring as a proxy for traditional BCG.…”

Section: Carotid Arterymentioning

confidence: 99%

See 2 more Smart Citations

Detecting Pulse from Head Motions in Video

Balakrishnan¹,

Durand²,

Guttag³

2013

2013 IEEE Conference on Computer Vision and Pattern Recognition

464

398

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Section: Head Movementsupporting

confidence: 66%

Section: Head Movementmentioning

confidence: 99%

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Detecting Pulse from Head Motions in Video

Balakrishnan¹,

Durand²,

Guttag³

2013

2013 IEEE Conference on Computer Vision and Pattern Recognition

464

398

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“…It is not necessary to place the electrodes directly on the human organ e.g., over heart in case of ECG measurement. The attenuated ECG signal can be detected by placing the electrodes elsewhere e.g., behind the ear as demonstrated in [18,19]. If the human heart could be considered as a biomedical implant which is transmitting signals then the attenuated signals can be measured outside the body at a different location by a receiver.…”

Section: Introductionmentioning

confidence: 99%

Variation-Aware System Design Simulation Methodology for Capacitive BCC Transceivers

Kazim

2015

Linköping Studies in Science and Technology. Dissertations

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Capacitive body coupled communication (BCC), frequency range 500 kHz to 15 MHz 1 , is considered an emerging alternate short range wireless technology which can meet the stringent low power consumption (< 1 mW) 2 and low data rate (< 100 kbps) 3 requirements for the next generation of connected devices for applications like internet-of-things (IoT) and wireless sensor network (WSN). But a reliable solution for this mode of communication covering all possible body positions and maximum communication distances around the human body could not be presented so far, despite its inception around 20 years back in 1995. The uncertainties/errors associated with experimental measurement setup create ambiguity about the measured propagation loss or transmission errors. The reason is the usage of either earth grounded lab instruments or the direct coupling of earth ground with transmitter/receiver or the analog front end cut-off frequency limitations in a few MHz region or the balun to provide isolation or the measurements on simplified homogeneous biological phantoms. Another source of ambiguity in the experimental measurements is attributed to the natural variations in human tissue electrophysiological properties from person to person which are also affected by physical factors like age, gender, number of cells at different body locations and humidity. The analytical models presented in the literature are also oversimplified which do not predict the true propagation loss for capacitive BCC channel.An attempt is being made to understand and demonstrate, qualitatively and quantitatively, the physical phenomenon of signal transmission and propagation characteristics e.g., path loss in complex scenarios for capacitive BCC channel by both the experimental observations/measurements and simulation models in this PhD dissertation. An alternate system design simulation methodology has been proposed which estimates the realistic path loss even for longer communication distances > 50 cm for capacitive BCC channel. The proposed simulation methodology allows to vary human tissue dielectric/thickness properties and easily integrates with the circuit simulators as the output is in the form of S-parameters. The advantage is that the capacitive BCC channel characteristics e.g., signal attenuation as a function of different physical factors could be readily simulated at the circuit level to choose appropriate circuit topology and define suitable system specifications. This simulation methodology is based on full-wave electromagnetic analysis and 3D modeling of human body and environment using their conductivity, permittivity, and tangent loss profile to estimate the realistic propagation loss or path loss due to their combined interaction with the electrode coupler for capacitive BCC channel. This methodology estimates the complex path impedance from transmitter to receiver which is important to determine the matching requirements for maximum power transfer. The simulation methodology also contributes towards better understanding of...

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“…In order to extract valuable information from the BCG signal, two approaches have been proposed: (1) to extract beat-by-beat series from short-duration (⩾3 min) recordings in order to characterize time and frequency parameters of heart-rate variability (Shin et al 2011, Zhu et al 2012; (2) to average consecutive beats acquired over shorter sequences (<1 min) in order to obtain a characteristic waveform from which to derive indices of cardiac performance (Etemadi et al 2011, He et al 2011.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of respiratory- and postural-induced changes on the ballistocardiogram signal by time warping averaging

et al. 2017

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Objective: The aim of this work was to evaluate the potential changes in the ballistocardiogram (BCG) signal induced by different respiratory patterns and posture, by using the dynamic time warping (DTW) technique. Approach: BCG signals were recorded in a group of 20 healthy volunteers, simultaneously with an electrocardiogram (ECG). Two recordings, one in a supine (SUP) and one in a standing (ST) position, including spontaneous breathing, two 1 min apneas (at full and empty-lungs, respectively) and 30 s of Valsalva, were analyzed. A warped averaged waveform was computed for each phase, from which amplitude and temporal parameters were extracted to characterize each condition. Main results: Variations were found in both amplitude and duration of BCG-derived parameters among manoeuvres, especially when compared to spontaneous breathing, suggesting a complex interaction between intrathoracic pressure changes acting on venous return, together with the autonomic nervous system modulation on heart rate. The effect of a hydrostatic pressure gradient elicited by postural conditions was also evident. Significance: Posture and respiratory manoeuvres affect the BCG signal in different ways, probably as a result of changes induced in preload and afterload. This supports the need to

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A continuous, wearable, and wireless heart monitor using head ballistocardiogram (BCG) and head electrocardiogram (ECG)

Cited by 70 publications

References 14 publications

Detecting Pulse from Head Motions in Video

Detecting Pulse from Head Motions in Video

Variation-Aware System Design Simulation Methodology for Capacitive BCC Transceivers

Evaluation of respiratory- and postural-induced changes on the ballistocardiogram signal by time warping averaging

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