Results 101 to 110 of about 6,786 (191)

Inferring ECG Waveforms from PPG Signals with a Modified U-Net Neural Network

Sensors
There are two widely used methods to measure the cardiac cycle and obtain heart rate measurements: the electrocardiogram (ECG) and the photoplethysmogram (PPG).
Rafael Albuquerque Pinto, Hygo Sousa De Oliveira, Eduardo Souto, Rafael Giusti, Rodrigo Veras   +4 more
doaj   +1 more source

Photoplethysmography-Based Continuous Systolic Blood Pressure Estimation Method for Low Processing Power Wearable Devices

Applied Sciences, 2019
Regardless of age, it is always important to detect deviations in long-term blood pressure from normal levels. Continuous monitoring of blood pressure throughout the day is even more important for elderly people with cardiovascular diseases or a high ...
Rolandas Gircys, Agnius Liutkevicius, Egidijus Kazanavicius, Vita Lesauskaite, Gyte Damuleviciene, Audrone Janaviciute   +5 more
doaj   +1 more source

Photoplethysmogram Modeling During Paroxysmal Atrial Fibrillation: Detector Evaluation

Computing in Cardiology Conference (CinC), 2017
A phenomenological model for simulating photoplethys-mogram (PPG) during paroxysmal atrial fibrillation (AF) is proposed. A PPG pulse is modeled by combining a log-normal and two Gaussian waveforms. Continuous PPG signals are produced by placing and connecting individual pulses according to the RR interval pattern extracted from annotated ECG signals ...
Sološenko, Andrius, Petrėnas, Andrius, Marozas, Vaidotas, Sörnmo, Leif   +3 more
openaire   +2 more sources

Energy-Efficient Photoplethysmogram Compression to Estimate Heart and Respiratory Rates Simultaneously

IEEE Access, 2019
A photoplethysmogram (PPG) sensor has been broadly used for smart watches and bands because it is easy to measure and contains many health information, such as heart rate (HR) and respiratory rate (RR).
Chanki Park, Boreom Lee
doaj   +1 more source

Hyperuricemia Prediction Using Photoplethysmogram and Arteriograph [PDF]

Computers, Materials & Continua, 2022
Ashutosh Kumar Dubey, Umesh Gupta, Sonal Jain   +2 more
openaire   +1 more source

Recent Developments and Future Directions of Wearable Skin Biosignal Sensors

Advanced Sensor Research
This review article explores the transformative advancements in wearable biosignal sensors powered by machine learning, focusing on four notable biosignals: electrocardiogram (ECG), electromyogram (EMG), electroencephalogram (EEG), and photoplethysmogram
Dohyung Kim, JinKi Min, Seung Hwan Ko
doaj   +1 more source

Photoplethysmogram beat detection using Symmetric Projection Attractor Reconstruction

Frontiers in Physiology
Many methods have been proposed to detect beats in photoplethysmogram (PPG) signals. We present a novel method which uses the Symmetric Projection Attractor Reconstruction (SPAR) method to generate an attractor in a two dimensional phase space from the PPG signal. We can then define a line through the origin of this phase space to be a Poincaré section,
Pettit, Callum, Charlton, Peter H, Aston, Philip J   +2 more
openaire   +3 more sources

Designing a Fuzzy Stable System to Estimate Peripheral Resistance Using Frequency and Pulse Strength Parameters of Persian Medicine [PDF]

مجله انفورماتیک سلامت و زیست پزشکی
Introduction: Pulsology is one of the most important clinical diagnostic methods in Persian medicine (PM) and has been used by traditional medicine specialists for centuries to assess clients' health conditions.
Mohammad Dehghandar, Maryam Nikbakht, Fateme Yousefi Nadarabadi   +2 more
doaj  

On how to extract breathing rate from PPG signal using wearable devices [PDF]

, 2015
Durelli, G.C., Fusco, A., Locatelli, D., Onorati, F., Santambrogio, M.D.   +4 more
core   +2 more sources

Development of an Improved Stacked U-Net Model for Cuffless Blood Pressure Estimation Based on PPG Signals. [PDF]

IEEE Open J Eng Med Biol
Lain JK, Wang CA, Xu JH, Lee CW.
europepmc   +1 more source