Results 81 to 90 of about 17,709 (302)
Unsupervised skin tissue segmentation for remote photoplethysmography
Pattern Recognition Letters, 2017 Segmentation is a critical step for many algorithms, especially for remote photoplethysmography (rPPG) applications as only the skin surface provides information.
Serge Bobbia +4 more
semanticscholar +1 more source
Photoplethysmography based atrial fibrillation detection: a review
npj Digital Medicine, 2020 Atrial fibrillation (AF) is a cardiac rhythm disorder associated with increased morbidity and mortality. It is the leading risk factor for cardioembolic stroke and its early detection is crucial in both primary and secondary stroke prevention. Continuous
T. Pereira +8 more
semanticscholar +1 more source
Photoplethysmography for bovine heat detection: the preliminary results [PDF]
, 2020 In this study, we applied photoplethysmography (PPG) as an alternative, convenient, and affordable method for bovine heat detection. Heat detection is an essential part of effective herd reproduction management. Currently, there are many different heat
Janis Spigulis +7 more
core +1 more source
Daily‐Life, Sensor‐Derived Tremor Measures Are Sensitive to Progression in Early Parkinson's Disease
Annals of Neurology, EarlyView.Objective Sensitive outcome measures are critical for evaluating the efficacy of novel treatments for Parkinson's disease (PD). In this study, we assess the sensitivity to change of sensor‐derived daily‐life tremor measures over 2 years in unmedicated and medicated persons with early PD.
Nienke A. Timmermans +10 more
wiley +1 more source
Continuous cuffless blood pressure measurement using feed-forward neural network
Радіоелектронні і комп'ютерні системи, 2023 High blood pressure (BP) or hypertension is an extremely common and dangerous condition affecting more than 18–27 % of the world population. It causes many cardiovascular diseases that kill 7.6 million people around the world per year.
Oleh Viunytskyi +4 more
doaj +1 more source
SiamQuality: a ConvNet-based foundation model for photoplethysmography signals
Physiological MeasurementObjective. Physiological data are often low quality and thereby compromises the effectiveness of related health monitoring. The primary goal of this study is to develop a robust foundation model that can effectively handle low-quality issue in ...
C. Ding +5 more
semanticscholar +1 more source
Electronics, 2023 Hemoglobin is an essential parameter in human blood. This paper proposes a non-invasive hemoglobin concentration measurement method based on the characteristic parameters of four-wavelength photoplethysmography (PPG) signals combined with machine ...
Zhencheng Chen +4 more
semanticscholar +1 more source
Carbon Energy, EarlyView.This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li +14 more
wiley +1 more source
Applied System Innovation, 2023 Wearable devices, such as smartwatches integrating heart rate and activity sensors, have the potential to transform health monitoring by enabling continuous, near real-time data collection and analytics.
Dorota S. Temple +10 more
doaj +1 more source
A Non-Invasive Hemoglobin Detection Device Based on Multispectral Photoplethysmography
Biosensors, 2023 The measurement of hemoglobin is a vital index for diagnosing and monitoring diseases in clinical practice. At present, solutions need to be found for the soreness, high risk of infection, and inconvenient operation associated with invasive detection ...
Jianming Zhu +6 more
semanticscholar +1 more source