A Primary Study of Indirect ECG Monitor Embedded in a Bed for Home Health Care

Ueno, Atsushi; Shiogai, Yuuki; Ishiyama, Yoji

doi:10.1541/ieejeiss.127.1792

Cited by 11 publications

(3 citation statements)

References 16 publications

(1 reference statement)

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“…1(b), the cECG is passively measured as the difference between the potentials at coupling points 1 and 2 (v cECG(1) and v cECG(2) , respectively). To suppress the voltage drops from v ECG(1) to v cECG(1) and from v ECG(2) to v cECG(2) , voltage followers with high input impedance are typically placed at the front ends of the following detection circuit [37], [49]. Here, we installed bootstrapped voltage followers at the front ends; these voltage followers maintain high input impedance only to AC signals and shorten the baseline restoration time after body movements such as rolling [39].…”

Section: B Cecg Measurementmentioning

confidence: 99%

Noncontact In-Bed Measurements of Physiological and Behavioral Signals Using an Integrated Fabric-Sheet Sensing Scheme

Takano

Ueno

2019

IEEE J. Biomed. Health Inform.

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Home monitoring requires measuring the physiological and behavioral signals without impairing a subject's everyday life. This research presents an integrated and noncontact approach for obtaining simultaneous physiological and behavioral signals of recumbent humans in beds using a home-monitoring application. In the proposed approach, a fabric-sheet unified sensing electrode (FUSE) obtains physiological signals by recording the electrocardiogram (ECG), chest and abdominal respiratory movements (RMs), and ballistocardiogram (BCG). The FUSE also detects the behavioral signals of body proximity (BPx) and lateral/supine lying postures. A prototype system with FUSE was validated in a short-term experiment and 6-h overnight measurements on two different groups composed of seven lying subjects. The results confirmed that the approach senses each signal independently and records the ECG, RMs, BCG, and BPx signals simultaneously. The mean sensitivities of the R and T waves of the ECG during sleep were 86.1% and 88.0%, respectively, whereas those of the chest and abdominal RMs were 90.7% and 90.1%, respectively. Although our prototype system has room for improvement, the results suggest that our approach enables the unconstrained, nocturnal monitoring of the physiological and behavioral signals in recumbent humans. The at-home monitoring of the physiological and behavioral signals is expected to contribute to cost-effective personalized healthcare in the future. This noncontact and easy-to-install system for in-bed measurements can facilitate a new era of home monitoring.

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Section: B Cecg Measurementmentioning

confidence: 99%

Noncontact In-Bed Measurements of Physiological and Behavioral Signals Using an Integrated Fabric-Sheet Sensing Scheme

Takano

Ueno

2019

IEEE J. Biomed. Health Inform.

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“…The electrodes were placed under a bed sheet. We adopted the V-shape to prevent the individual s hands from touching the lower electrodes [14]. The hands are deemed to have equal potential as the arms.…”

Section: Sheeted Fabric Electrodementioning

confidence: 99%

“…With a small C cpl ; for example 10 pF, in a potential measure- [14]. Our system consists of a front-end voltage follower with a bootstrap, a virtual midpoint circuit, differential separation lters, instrumentation ampli ers, lters, and ampli ers with a gain of 60 dB.…”

Section: Front-end Buffer Circuitmentioning

confidence: 99%

Non-Contact Simultaneous Measurements of Electrocardiogram and Respiratory Movements Using Capacitive Sheet Electrodes

Takano

Yamagishi

Ohmuta

et al. 2017

ABE

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In this study, we improved upon a high-input impedance monitoring device comprising capacitive sheet electrodes placed under a bed sheet, aiming to detect all ECG waves including T waves. To accomplish this, we widened the passbands for ECG and respiratory movement (RM) signals. However, because this widening may lower noise tolerance, we substituted conventional front-end buffers with buffers able to discharge DC potential. Further, the backside of the modi ed electrode was doubly shielded by using the electric potential of the buffer s output and ground. We also introduced a virtual midpoint circuit to realize stable ECG and independent RM measurements of the chest and abdomen with the goal to detect obstructive sleep apnea in future applications. We tested our device on seven healthy adults during a six-hour sleep experiment. In all subjects, we detected T waves and observed ECG and RM signals in supine and lateral positions. In experiments in which respiratory rate was changed at regular intervals, the RM signal was synchronized with the simultaneously measured reference signal. The sensitivity and accuracy of R waves averaged over all subjects were 93.2% and 92.9%, respectively. Both averaged sensitivity and accuracy for T waves were 94.5%, while averaged accuracy of chest and abdominal RM was 70.9% and 74.0%, respectively. The results for ECG signals indicate that our improved system is applicable to unconstrained monitoring of vital signs in adults. Although there is still room for improvement in RM measurements, the results suggest that our system may also be used to detect variations in breathing.

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Improvement of SNR by Equilibrating Power-Line Noise Amplitude and Its Application to Capacitive ECG Measurement

2009

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A Primary Study of Indirect ECG Monitor Embedded in a Bed for Home Health Care

Cited by 11 publications

References 16 publications

Noncontact In-Bed Measurements of Physiological and Behavioral Signals Using an Integrated Fabric-Sheet Sensing Scheme

Noncontact In-Bed Measurements of Physiological and Behavioral Signals Using an Integrated Fabric-Sheet Sensing Scheme

Non-Contact Simultaneous Measurements of Electrocardiogram and Respiratory Movements Using Capacitive Sheet Electrodes

Improvement of SNR by Equilibrating Power-Line Noise Amplitude and Its Application to Capacitive ECG Measurement

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