AIMC Topic: Photoplethysmography

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Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism.

Sensors (Basel, Switzerland) Mar 19, 2021
Arterial blood pressure (ABP) is an important vital sign from which it can be extracted valuable information about the subject's health. After studying its morphology it is possible to diagnose cardiovascular diseases such as hypertension, so ABP rou...
Blood Pressure Determination Blood Pressure Demography Humans Deep Learning Photoplethysmography
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Novel Analgesic Index for Postoperative Pain Assessment Based on a Photoplethysmographic Spectrogram and Convolutional Neural Network: Observational Study.

Journal of medical Internet research Feb 3, 2021
BACKGROUND: Although commercially available analgesic indices based on biosignal processing have been used to quantify nociception during general anesthesia, their performance is low in conscious patients. Therefore, there is a need to develop a new ...
Pain Measurement Pain, Postoperative Analgesia Female Middle Aged Photoplethysmography Aged Aged, 80 and over Young Adult Adult Male Humans Neural Networks, Computer
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On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks.

IEEE transactions on biomedical circuits and systems Dec 31, 2020
Photoplethysmographic (PPG) measurements from ambulatory subjects may suffer from unreliability due to body movements and missing data segments due to loosening of sensor. This paper describes an on-device reliability assessment from PPG measurements...
Humans Aged, 80 and over Young Adult Adult Neural Networks, Computer Reproducibility of Results Aged Signal Processing, Computer-Assisted Middle Aged Photoplethysmography
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Prediction of vascular aging based on smartphone acquired PPG signals.

Scientific reports Nov 12, 2020
Photoplethysmography (PPG) measured by smartphone has the potential for a large scale, non-invasive, and easy-to-use screening tool. Vascular aging is linked to increased arterial stiffness, which can be measured by PPG. We investigate the feasibilit...
Vascular Diseases Heart Rate Photoplethysmography Signal Processing, Computer-Assisted Aging Middle Aged Deep Learning Adolescent Smartphone Young Adult Adult Male Female Aged Humans Neural Networks, Computer
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Biometric Signals Estimation Using Single Photon Camera and Deep Learning.

Sensors (Basel, Switzerland) Oct 27, 2020
The problem of performing remote biomedical measurements using just a video stream of a subject face is called remote photoplethysmography (rPPG). The aim of this work is to propose a novel method able to perform rPPG using single-photon avalanche di...
Algorithms Signal Processing, Computer-Assisted Face Deep Learning Heart Rate Humans Biometry Photoplethysmography Respiratory Rate
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Fast body part segmentation and tracking of neonatal video data using deep learning.

Medical & biological engineering & computing Oct 23, 2020
Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the neonatal intensive care unit (NICU) is a promising technology, as it could reduce medical adhesive-related skin injuries and associated complications. For practi...
Humans Infant, Newborn Infant Deep Learning Image Processing, Computer-Assisted Photoplethysmography Human Body Video Recording Infant, Premature
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Generalized Deep Neural Network Model for Cuffless Blood Pressure Estimation with Photoplethysmogram Signal Only.

Sensors (Basel, Switzerland) Oct 4, 2020
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP) estimation models have been developed based on physiological parameters extracted from both electrocardiograms (ECGs) and photoplethysmograms (PPGs). Still, in o...
Photoplethysmography Blood Pressure Determination Blood Pressure Humans Pulse Wave Analysis Neural Networks, Computer
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Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model.

Sensors (Basel, Switzerland) Sep 30, 2020
Blood pressure monitoring is one avenue to monitor people's health conditions. Early detection of abnormal blood pressure can help patients to get early treatment and reduce mortality associated with cardiovascular diseases. Therefore, it is very val...
Monitoring, Physiologic Blood Pressure Humans Deep Learning Electrocardiography Photoplethysmography Blood Pressure Determination
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Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images.

Sensors (Basel, Switzerland) Sep 17, 2020
Stress is subjective and is manifested differently from one person to another. Thus, the performance of generic classification models that classify stress status is crude. Building a person-specific model leads to a reliable classification, but it re...
Humans Neural Networks, Computer Photoplethysmography
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Photoplethysmographic-based automated sleep-wake classification using a support vector machine.

Physiological measurement Aug 11, 2020
OBJECTIVE: Sleep quality has a significant impact on human mental and physical health. The detection of sleep-wake states is thus of paramount importance in the study of sleep. The gold standard method for sleep-wake classification is multi-sensor-ba...
Sleep Wearable Electronic Devices Polysomnography Humans Photoplethysmography Algorithms Support Vector Machine
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