The Blood Supply of Various Skin Areas as Estimated by the Photoelectric Plethysmograph

Hertzman, Alrick B.

doi:10.1152/ajplegacy.1938.124.2.328

Cited by 389 publications

(153 citation statements)

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“…17 Poor accuracy is caused by the physical limitations of PPG, magnified by inherent challenges associated with the peripheral wrist location of the sensor and noisy interface with the skin. 18 Despite these limitations, the convenience of wrist-worn devices have led researchers to estimate ECG parameters from PPG signals, 19 demonstrating that there is a continued desire to measure cardiac rhythm metrics with improved patient comfort.…”

Section: Introductionmentioning

confidence: 99%

Highly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring

Lee¹,

Wright³

et al. 2018

npj Digital Med

174

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Contemporary cardiac and heart rate monitoring devices capture physiological signals using optical and electrode-based sensors. However, these devices generally lack the form factor and mechanical flexibility necessary for use in ambulatory and home environments. Here, we report an ultrathin (~1 mm average thickness) and highly flexible wearable cardiac sensor (WiSP) designed to be minimal in cost (disposable), light weight (1.2 g), water resistant, and capable of wireless energy harvesting. Theoretical analyses of system-level bending mechanics show the advantages of WiSP's flexible electronics, soft encapsulation layers and bioadhesives, enabling intimate skin coupling. A clinical feasibility study conducted in atrial fibrillation patients demonstrates that the WiSP device effectively measures cardiac signals matching the Holter monitor, and is more comfortable. WiSP's physical attributes and performance results demonstrate its utility for monitoring cardiac signals during daily activity, exertion and sleep, with implications for home-based care.

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Section: Introductionmentioning

confidence: 99%

Highly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring

Lee¹,

Wright³

et al. 2018

npj Digital Med

174

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“…The first one is optical single-point detection of the measured subjects pressed against the devices built in the devices to perform PPG [7]. While useful, this approach requires steady physical contact of one's finger or ear with the PPG devices [8], which makes the measured person feel uncomfortable and reduces the measurement accuracy of the physiological signals.…”

Section: Introductionmentioning

confidence: 99%

Noncontact measurement of heart rate using facial video illuminated under natural light and signal weighted analysis

Yan

Yao

et al. 2015

BME

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Abstract. Non-contact and remote measurements of vital physical signals are important for reliable and comfortable physiological self-assessment. We presented a novel optical imaging-based method to measure the vital physical signals. Using a digital camera and ambient light, the cardiovascular pulse waves were extracted better from human color facial videos correctly. And the vital physiological parameters like heart rate were measured using a proposed signal-weighted analysis method. The measured HRs consistent with those measured simultaneously with reference technologies (r=0.94, p<0.001 for HR). The results show that the imaging-based method is suitable for measuring the physiological parameters, and provide a reliable and comfortable measurement mode. The study lays a physical foundation for measuring multiphysiological parameters of human noninvasively.

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“…In recent years, techniques developed for measuring, processing, and analyzing the physiological signals [3][4][5] are considered in computerized pulse signal research [6][7][8]. A series of pulse signal acquisition systems [9,10] have recently been developed and a number of methods have been proposed to analyze the digitized pulse signals [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…By far, considerable achievements have been obtained in the development of computerized pulse diagnosis based on the analysis of pulse signal acquired by pressure [9] or photoelectric sensors [10]. Since the information utilized in TCPD is comprehensive and complicated, photoelectric or pressure sensors cannot acquire all the necessary information for pulse diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Wrist blood flow signal-based computerized pulse diagnosis using spatial and spectrum features

Zhang¹,

Zuo²,

Zhang³

et al. 2010

JBiSE

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Current computerized pulse diagnosis is mainly based on pressure and photoelectric signal. Considering the richness and complication of pulse diagnosis information, it is valuable to explore the feasibility of novel types of signal and to develop appropriate feature representation for diagnosis. In this paper, we present a study on computerized pulse diagnosis based on blood flow velocity signal. First, the blood flow velocity signal is collected using Doppler ultrasound device and preprocessed. Then, by locating the fiducial points, we extract the spatial features of blood flow velocity signal, and further present a Hilbert-Huang transform-based method for spectrum feature extraction. Finally, support vector machine is applied for computerized pulse diagnosis. Experiment results show that the proposed method is effective and promising in distinguishing healthy people from patients with cholecystitis or nephritis.

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The Blood Supply of Various Skin Areas as Estimated by the Photoelectric Plethysmograph

Cited by 389 publications

References 0 publications

Highly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring

Highly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring

Noncontact measurement of heart rate using facial video illuminated under natural light and signal weighted analysis

Wrist blood flow signal-based computerized pulse diagnosis using spatial and spectrum features

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