Results 31 to 40 of about 3,566 (223)

Pulse Rate Variability Analysis Using Remote Photoplethysmography Signals

Sensors, 2021
Pulse rate variability (PRV) refers to the change in the interval between pulses in the blood volume pulse (BVP) signal acquired using photoplethysmography (PPG). PRV is an indicator of the health status of an individual’s autonomic nervous system.
Su-Gyeong Yu, So-Eui Kim, Na Hye Kim, Kun Ha Suh, Eui Chul Lee   +4 more
doaj   +1 more source

Perfusion assessment via local remote photoplethysmography (rPPG)

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately supplied with blood. The perfusion analysis is done in three different scales, offering a flexible approach for different applications ...
Kossack, Benjamin, Wisotzky, Eric, Eisert, Peter, Schraven, Sebastian P., Globke, Brigitta, Hilsmann, Anna   +5 more
openaire   +2 more sources

Evaluation of an algorithm for optical pulse detection in children for application to the Pepper robot

Current Directions in Biomedical Engineering, 2021
To engage in socio-emotional interactions, children with autism spectrum conditions (ASC) need support to understand and convey emotions. In our approach, a humanoid robot (Pepper, Softbanks Robotics) acts as a tutor for the child within autism care. The
Lang Nadine, Goes N., Struck M., Wittenberg T., Goes N., Seßner J., Franke J., Wittenberg T., Dziobek I., Kirst S., Naumann S.   +10 more
doaj   +1 more source

rPPG-Toolbox: Deep Remote PPG Toolbox

, 2022
Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the peripheral blood volume pulse (BVP) via photoplethysmography, and enables cardiac measurement via webcams and smartphones.
Liu, Xin, Narayanswamy, Girish, Paruchuri, Akshay, Zhang, Xiaoyu, Tang, Jiankai, Zhang, Yuzhe, Sengupta, Soumyadip, Patel, Shwetak, Wang, Yuntao, McDuff, Daniel   +9 more
openaire   +2 more sources

Three- to 4-year follow-up of the reverse palatal pedicle graft for maxillary palatal recessions. [PDF]

Clin Adv Periodontics
Abstract Background This study evaluates the long‐term stability and clinical outcomes of the reverse palatal pedicle graft (RPPG) technique in treating maxillary molar palatal recessions over a 3 to 4‐year follow‐up period. Methods Three patients with palatal recession defects on maxillary molars were treated using the RPPG technique.
Nguyen TT, Wu DT, Weinstein BF.
europepmc   +2 more sources

Recent Progress of Optical Imaging Approaches for Noncontact Physiological Signal Measurement: A Review

Advanced Intelligent Systems, Volume 5, Issue 9, September 2023., 2023
Optical imaging techniques are widely used for non‐contact vital signal measurement. In this review, we discuss the principles, analysis methods, pros and cons, latest applications and future prospects of various optical imaging techniques for non‐contact vital signal measurement. In recent years, optical imaging techniques have gained wide recognition
Xinxin Zhang, Menghan Hu, Yudong Zhang, Guangtao Zhai, Xiao-Ping Zhang   +4 more
wiley   +1 more source

Noise-Assessment-Based Screening Method for Remote Photoplethysmography Estimation

Applied Sciences, 2023
Remote vital signal estimation has been researched for several years. There are numerous studies on rPPG, which utilizes cameras to detect cardiovascular activity. Most of the research has concentrated on obtaining rPPG from a complete video.
Kunyoung Lee, Seunghyun Kim, Byeongseon An, Hyunsoo Seo, Shinwi Park, Eui Chul Lee   +5 more
doaj   +1 more source

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

WIREs Data Mining and Knowledge Discovery, Volume 13, Issue 2, March/April 2023., 2023
Artificial intelligence‐enabled remote patient monitoring architectures. Abstract The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to monitor patients with chronic or acute illness at remote locations, elderly people in‐home ...
Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya   +6 more
wiley   +1 more source

[Retracted] Edge‐Enabled Heart Rate Estimation from Multisensor PPG Signals

Journal of Healthcare Engineering, Volume 2023, Issue 1, 2023., 2023
Heart rate (HR) estimation from multisensor PPG signals suffers from the dilemma of inconsistent computation results, due to the prevalence of bio‐artifacts (BAs). Furthermore, advancements in edge computing have shown promising results from capturing and processing diversified types of sensing signals using the devices of Internet of Medical Things ...
Xingchi Chen, Fa Zhu, Hai Zhao, Ali Kashif Bashir   +3 more
wiley   +1 more source

Emotion Recognition from rPPG via Physiologically Inspired Temporal Encoding and Attention-Based Curriculum Learning. [PDF]

Sensors (Basel)
Highlights What are the main findings? A temporal-only rPPG framework with a multi-scale CNN, sparse α-Entmax attention, and Gated Pooling achieved 66.04% accuracy and a 61.97% weighted F1-score for arousal on MAHNOB-HCI (mixed subjects).
Lee C, Lee H, Whang M.
europepmc   +2 more sources