Results 71 to 80 of about 6,786 (191)
Optimising Sleep Stage Detection Using a Minimal Non‐EEG Physiological Signal Set and Deep Learning
Journal of Sleep Research, EarlyView.ABSTRACT Automatic sleep stage classification is essential for enabling non‐invasive, at‐home monitoring. However, current methods often rely on electroencephalogram (EEG) signals and ad‐hoc development approaches that limit reproducibility. We present a reproducible engineering framework for a deep learning model based on the U‐Net architecture that ...
Ángel Serrano Alarcón +4 more
wiley +1 more source
Healthcare Technology Letters, 2018 Wearable physiological monitors are becoming increasingly commonplace in the consumer domain, but in literature there exists no substantive studies of their performance when measuring the physiology of ambulatory patients.
Davide Morelli +4 more
doaj +1 more source
Recommendation for Measuring Digital Volume Pulse in Mobile Application: For Healthy Normal Subject
IEEE Access, 2021 The aim of this study was to identify changes in photoplethysmogram waveform with decreasing sampling frequency and quantization bit depth and suggest appropriate criteria for measurements.
Hyeon Seok Seok, Hangsik Shin
doaj +1 more source
Heart Rate Monitoring During Different Lung Volume Phases Using Seismocardiography
, 2018 Seismocardiography (SCG) is a non-invasive method that can be used for cardiac activity monitoring. This paper presents a new electrocardiogram (ECG) independent approach for estimating heart rate (HR) during low and high lung volume (LLV and HLV ...
Bomar, Andrew J +3 more
core +1 more source
Pervasive blood pressure monitoring using Photoplethysmogram (PPG) sensor [PDF]
Future Generation Computer Systems, 2019 Preventive healthcare requires continuous monitoring of the blood pressure (BP) of patients, which is not feasibleusing conventional methods. Photoplethysmogram (PPG) signals can be effectively used for this purpose as there is aphysiological relation between the pulse width and BP and can be easily acquired using a wearable PPG sensor.
Farhan Riaz +5 more
openaire +3 more sources
The Journal of Physiology, EarlyView.Abstract figure legend We investigated how 6 weeks of dynamic knee‐extensor interval training with blood flow restriction (BFR‐leg) and without (CTRL‐leg) impacts performance and its mechanisms using non‐invasive methods. Specifically, we used gold‐standard methods to assess neuromuscular function, vascular function using Doppler ultrasound, and near ...
Colin Lavigne +5 more
wiley +1 more source
Russian Open Medical Journal, 2020 The purpose of this work is to study the interaction between the autonomic regulatory loops of blood circulation from long time series. Methods ― We simultaneously recorded four-hour signals of electrocardiogram and photoplethysmogram from the ear and ...
Viktoriia V. Skazkina +9 more
doaj +1 more source
Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks
, 2018 Existing methods for arterial blood pressure (BP) estimation directly map the input physiological signals to output BP values without explicitly modeling the underlying temporal dependencies in BP dynamics.
Ding, Xiao-Rong +5 more
core +1 more source
Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Frontiers in Psychology, 2021 The proliferating and excessive use of internet games has caused various comorbid diseases, such as game addiction, which is now a major social problem.
Jihyeon Ha +5 more
doaj +1 more source