Feasibility of Imaging Photoplethysmography

Hu, Sijung; Zheng, Jie; Chouliaras, V.A.; Summers, Ron

doi:10.1109/bmei.2008.365

Cited by 38 publications

(13 citation statements)

References 5 publications

(3 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To acquire blood volume changes in the deep cutaneous tissue, the reflection mode remote PPG is combined with orthogonal polarization spectral imaging and bispectral light sources, exploiting the principle of different wavelength penetration into different depths of the skin. 25,27 The custom-made iPPG device has been designed using CAD software (Solidworks, Dassault Systems). The plastic parts were printed with a three-dimensional (3-D) printer (Prusa i3, Custom made, Latvia).…”

Section: Design Of Imaging Photoplethysmography Hardwarementioning

confidence: 99%

“…23,24 Previous studies confirmed the potential of iPPG technique in recording of cutaneous perfusion at different depths by means of different wavelength light sources, mostly utilizing on-bench tests. 25 However, to deliver the technology to clinicians, more extensive examination is needed, particularly, in the light of the recently proposed paradigm of iPPG signal genesis. 26 Therefore, this paper proposes a design and evaluation of bispectral imaging PPG device prototype for clinical monitoring of superficial and deep cutaneous microcirculation during various provocation tests.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Imaging photoplethysmography for clinical assessment of cutaneous microcirculation at two different depths

et al. 2016

View full text Add to dashboard Cite

The feasibility of bispectral imaging photoplethysmography (iPPG) system for clinical assessment of cutaneous microcirculation at two different depths is proposed. The iPPG system has been developed and evaluated for in vivo conditions during various tests: (1) topical application of vasodilatory liniment on the skin, (2) skin local heating, (3) arterial occlusion, and (4) regional anesthesia. The device has been validated by the measurements of a laser Doppler imager (LDI) as a reference. The hardware comprises four bispectral light sources (530 and 810 nm) for uniform illumination of skin, video camera, and the control unit for triggering of the system. The PPG signals were calculated and the changes of perfusion index (PI) were obtained during the tests. The results showed convincing correlations for PI obtained by iPPG530 nm and LDI at (1) topical liniment (r = 0.98) and (2) heating (r = 0.98) tests. The topical liniment and local heating tests revealed good selectivity of the system for superficial microcirculation monitoring. It is confirmed that the iPPG system could be used for assessment of cutaneous perfusion at two different depths, morphologically and functionally different vascular networks, and thus utilized in clinics as a cost-effective alternative to the LDI.

show abstract

Section: Design Of Imaging Photoplethysmography Hardwarementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Imaging photoplethysmography for clinical assessment of cutaneous microcirculation at two different depths

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Table 2 reports some fuzzy rules defined with the help of a doctor. [7,23] Normal [20,80] Tachypnea [5,10] Altered [8,16] Purplish Linguistic terms used in fuzzy rules are described by fuzzy sets [41]. A fuzzy set is defined by a membership function µ which maps the variable domain in the interval [0, 1].…”

Section: Risk Assessment By Fuzzy Rulesmentioning

confidence: 99%

“…Hence, PPG can provide valuable information about the cardiovascular system such as heart rate, arterial blood oxygen saturation, blood pressure, cardiac output and autonomic function [3]. The use of PPG for non-contact physiological measurements has been widely investigated in the literature [4][5][6][7][8]. One common device based on principles of PPG is the pulse oximeter, a contact device that can detect the oxygen saturation of the blood and the heart rate by simply exploiting the changes in blood volume in the micro-circulation of the human tissues [9].…”

Section: Introductionmentioning

confidence: 99%

Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules

et al. 2018

View full text Add to dashboard Cite

Conventional methods for measuring cardiovascular parameters use skin contact techniques requiring a measuring device to be worn by the user. To avoid discomfort of contact devices, camera-based techniques using photoplethysmography have been recently introduced. Nevertheless, these solutions are typically expensive and difficult to be used daily at home. In this work, we propose an innovative solution for monitoring cardiovascular parameters that is low cost and can be easily integrated within any common home environment. The proposed system is a contact-less device composed of a see-through mirror equipped with a camera that detects the person’s face and processes video frames using photoplethysmography in order to estimate the heart rate, the breath rate and the blood oxygen saturation. In addition, the color of lips is automatically detected via clustering-based color quantization. The estimated parameters are used to predict a risk of cardiovascular disease by means of fuzzy inference rules integrated in the mirror-based monitoring system. Comparing our system to a contact device in measuring vital parameters on still or slightly moving subjects, we achieve measurement errors that are within acceptable margins according to the literature. Moreover, in most cases, the response of the fuzzy rule-based system is comparable with that of the clinician in assessing a risk level of cardiovascular disease.

show abstract

“…(1) Prewhiten and center the data, and get ← It is considered that the G channel almost always features a much stronger HR signal as compared to the R and B channels. And it is also a strong evidence that the signals are filtered by variations in blood volume (due to the absorption bands for oxy and deoxy hemoglobin for yellow and green light) [18] [19]. Correlation between the three independent signals and the green channel signal was analyzed to obtain the signal with the best correlation.…”

mentioning

confidence: 99%

Contactless heart rate and respiratory measurement for sleep monitoring

HOU¹,

ZHU²

2019

Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019,

View full text Add to dashboard Cite

Heart rate and respiration, which are physiological indicators closely related to cardiopulmonary function, are widely used in clinical diagnosis and daily monitoring. This paper proposes a heart rate measurement based on imaging photovoltaic plethysmography (iPPG) and a respiratory measurement method of sift algorithm. We mark the region of interest by dlib. Signal is obtained by color channels separation of ROI and independent component analysis. Next we filter signal with bandpass filter and extract heart rate from the blood volume pulse via Fourier transform. Meanwhile, the trajectory is decomposed into a set of component motions by calculating the feature points at the chest and performing principal component analysis. The composition of the respiration that is most suitable for the calculation is then selected based on its time spectrum. Finally, the peak of the trajectory corresponding to the respiration is determined. This method could be used for contactless sleep monitoring .

show abstract

Feasibility of Imaging Photoplethysmography

Cited by 38 publications

References 5 publications

Imaging photoplethysmography for clinical assessment of cutaneous microcirculation at two different depths

Imaging photoplethysmography for clinical assessment of cutaneous microcirculation at two different depths

Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules

Contactless heart rate and respiratory measurement for sleep monitoring

Contact Info

Product

Resources

About