AIMC Topic: Photoplethysmography
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Bidirectional Recurrent Auto-Encoder for Photoplethysmogram Denoising.
IEEE journal of biomedical and health informatics
Dec 5, 2018
Photoplethysmography (PPG) has become ubiquitous with the development of smart watches and the mobile healthcare market. However, PPG is vulnerable to various types of noises that are ever present in uncontrolled environments, and the key to obtainin...
Arterial stiffness in normal pregnancy as assessed by digital pulse wave analysis by photoplethysmography - A longitudinal study.
Pregnancy hypertension
Nov 13, 2018
INTRODUCTION: It might in the future be valuable to screen for increased maternal arterial stiffness, i.e. low compliance, since it is associated with development of hypertensive complications in pregnancy. Digital pulse wave analysis (DPA) is an eas...
Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification.
Biosensors
Oct 26, 2018
Blood pressure is a basic physiological parameter in the cardiovascular circulatory system. Long-term abnormal blood pressure will lead to various cardiovascular diseases, making the early detection and assessment of hypertension profoundly significa...
Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.
Journal of healthcare engineering
Oct 23, 2018
INTRODUCTION: Blood pressure (BP) has been a potential risk factor for cardiovascular diseases. BP measurement is one of the most useful parameters for early diagnosis, prevention, and treatment of cardiovascular diseases. At present, BP measurement ...
A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications.
IEEE transactions on bio-medical engineering
Sep 4, 2018
Multi-modal bio-sensing has recently been used as effective research tools in affective computing, autism, clinical disorders, and virtual reality among other areas. However, none of the existing bio-sensing systems support multi-modality in a wearab...
Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor.
Sensors (Basel, Switzerland)
Jul 17, 2018
This paper proposes a noninvasive dual optical photoplethysmography (PPG) sensor to classify the degree of arteriovenous fistula (AVF) stenosis in hemodialysis (HD) patients. Dual PPG measurement node (DPMN) becomes the primary tool in this work for ...
Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms.
Heart (British Cardiac Society)
May 31, 2018
OBJECTIVE: To evaluate the diagnostic performance of a deep learning system for automated detection of atrial fibrillation (AF) in photoplethysmographic (PPG) pulse waveforms.
Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.
PloS one
Mar 29, 2018
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoperative and battlefield settings given the variability of traditional vital signs, such as heart rate and blood pressure, and their inability to detect ...
A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram.
Journal of healthcare engineering
Mar 7, 2018
The prevention, evaluation, and treatment of hypertension have attracted increasing attention in recent years. As photoplethysmography (PPG) technology has been widely applied to wearable sensors, the noninvasive estimation of blood pressure (BP) usi...
Pulse Wave Analysis
Critical Care
Pattern Recognition, Automated
Systole
Humans
Photoplethysmography
Male
Diastole
Electrocardiography
Middle Aged
Blood Pressure Determination
Hypertension
Aged
Neural Networks, Computer
Blood Pressure
Aged, 80 and over
Databases, Factual
Young Adult
Female
Adult
Reproducibility of Results
Remote photoplethysmography with constrained ICA using periodicity and chrominance constraints.
Biomedical engineering online
Feb 9, 2018
BACKGROUND: Remote photoplethysmography (rPPG) has been in the forefront recently for measuring cardiac pulse rates from live or recorded videos. It finds advantages in scenarios requiring remote monitoring, such as medicine and fitness, where contac...
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