Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A review of deep learning methods for photoplethysmography data
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life
Preterm birth (PTB) remains a global health concern, impacting neonatal mortality and
lifelong health consequences. Traditional methods for estimating PTB rely on electronic …
lifelong health consequences. Traditional methods for estimating PTB rely on electronic …
Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applications
Loneliness is linked to wide ranging physical and mental health problems, including
increased rates of mortality. Understanding how loneliness manifests is important for …
increased rates of mortality. Understanding how loneliness manifests is important for …
Signal completion using generative adversarial networks for enhanced photoplethysmography measurement accuracy
H Shin - Computers in Biology and Medicine, 2024 - Elsevier
Despite the growing adoption of wearable photoplethysmography (PPG) devices in personal
health management, their measurement accuracy remains limited due to susceptibility to …
health management, their measurement accuracy remains limited due to susceptibility to …
End-to-end ppg processing pipeline for wearables: From quality assessment and motion artifacts removal to hr/hrv feature extraction
The rapid development of wearable technology has enabled remote photoplethysmography
(PPG)-based health monitoring in everyday settings, offering real-time and continuous …
(PPG)-based health monitoring in everyday settings, offering real-time and continuous …
Reconstruction of corrupted photoplethysmography signals using recursive generative adversarial networks
This article explores how motion artifacts (MAs) affect photoplethysmography (PPG) signals
measured from the radial artery of the wrist through our wearable system called WrisTee. We …
measured from the radial artery of the wrist through our wearable system called WrisTee. We …
Loneliness forecasting using multi-modal wearable and mobile sensing in everyday settings
The adverse effects of loneliness on both physical and mental well-being are profound.
Although previous research has utilized mobile sensing techniques to detect mental health …
Although previous research has utilized mobile sensing techniques to detect mental health …
[PDF][PDF] Generative adversarial networks with fully connected layers to denoise PPG signals
IA Avila Castro, H Oliveira… - Physiological …, 2025 - iopscience.iop.org
Objective. The detection of arterial pulsating signals at the skin periphery with
Photoplethysmography (PPG) are easily distorted by motion artifacts. This work explores the …
Photoplethysmography (PPG) are easily distorted by motion artifacts. This work explores the …
An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation
Large language models (LLMs) are revolutionizing healthcare by improving diagnosis,
patient care, and decision support through interactive communication. More recently, they …
patient care, and decision support through interactive communication. More recently, they …
Bi-LSTM Based Interdependent Prediction of Physiological Signals
Two of the most essential physiological signals obtained during patient care are the
photoplethysmogram (PPG) and electrocardiogram (ECG). Due to recent technological …
photoplethysmogram (PPG) and electrocardiogram (ECG). Due to recent technological …