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Stochastic Modeling for Photoplethysmography Compression

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
Photoplethysmography (PPG) has been widely involved in health monitoring for clinical medicine and wearable devices. To make full use of PPG signals for diagnosis and health care, raw PPG waveforms have to be stored and transmitted in a storage and power-efficient way, which is data compression.
Ke Xu 0006   +3 more
openaire   +2 more sources

Multilaser photoplethysmography technique

Lasers in Medical Science, 2007
New technique for parallel recording of reflection photoplethysmography signals in broad spectral band (violet to NIR) has been developed based on fiber-coupled laser irradiation and time-resolved spectrometric detection. Differences in photoplethysmography waveforms that were recorded simultaneously at different wavelengths confirmed the depth variety
L, Gailite, J, Spigulis, A, Lihachev
openaire   +2 more sources

Skin photoplethysmography — a review

Computer Methods and Programs in Biomedicine, 1989
The photoplethysmograph has been used for over 50 years but there are still misconceptions in how and what is the information obtained. A photoplethysmograph signal from any site on the skin can be separated into an oscillating (a.c.) and a steady-state (d.c.) component, their amplitudes dependent upon the structure and flow in the vascular bed.
A A, Kamal   +3 more
openaire   +2 more sources

Fingertip photoplethysmography and migraine

Journal of the Neurological Sciences, 2003
Whether migraine is accompanied by generalized disturbance of arteries throughout the body remains unclear. The second derivative of the fingertip photoplethysmography waveform (SDPTG) is now considered a useful tool for evaluating peripheral circulation.
Kan-ichiro, Komatsu   +2 more
openaire   +2 more sources

Organic Photoplethysmography Sensors for Wearable Health Monitoring

Laser & Photonics Reviews
The increasing emphasis on health and wellness has spurred developments in wearable health technologies, particularly in photoplethysmography (PPG) technology.
Long Chen   +5 more
semanticscholar   +1 more source

Photoplethysmography signal processing and synthesis

Photoplethysmography, 2022
This chapter presents the fundamental signal processing techniques used to analyse the PPG signal. The chapter starts by providing an overview of the PPG signal, covering its physiological origins, presentation, and acquisition.
E. Mejía-Mejía   +5 more
semanticscholar   +1 more source

Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios

Computer Vision and Pattern Recognition
Physiological activities can be manifested by the sensitive changes in facial imaging. While they are barely observable to our eyes, computer vision manners can, and the derived remote photoplethysmography (rPPG) has shown considerable promise.
Hang Shao   +5 more
semanticscholar   +1 more source

LSTC-rPPG: Long Short-Term Convolutional Network for Remote Photoplethysmography

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Remote photoplethysmography (rPPG) is a non-contact technique for measuring blood pulse signals associated with cardiac activity. Although rPPG is considered an alternative to traditional contact-based photoplethysmography (PPG) because of its non ...
J. S. Lee   +3 more
semanticscholar   +1 more source

A Comparison of Wearable Tonometry, Photoplethysmography, and Electrocardiography for Cuffless Measurement of Blood Pressure in an Ambulatory Setting

IEEE journal of biomedical and health informatics, 2022
Objective: While non-invasive, cuffless blood pressure (BP) measurement has demonstrated relevancy in controlled environments, ambulatory measurement is important for hypertension diagnosis and control. We present both in-lab and ambulatory BP estimation
Rebecca J. Mieloszyk   +22 more
semanticscholar   +1 more source

Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer

Neural Networks
Artificial neural networks (ANNs) can help camera-based remote photoplethysmography (rPPG) in measuring cardiac activity and physiological signals from facial videos, such as pulse wave, heart rate and respiration rate with better accuracy. However, most
Mingxuan Liu   +7 more
semanticscholar   +1 more source

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