Photoplethysmogram
View article: Effectiveness of Pulse Oximetry and Ankle Brachial Index in Detecting Peripheral Arterial Disease in Diabetic Foot Ulcer Patients
Effectiveness of Pulse Oximetry and Ankle Brachial Index in Detecting Peripheral Arterial Disease in Diabetic Foot Ulcer Patients Open
Background: Peripheral arterial disease (PAD) leads to significant morbidity and mortality in Diabetic population due to the development of “Diabetic Foot Syndrome”. Peripheral Arterial Disease (PAD) is underdiagnosed, undertreated, poorly…
View article: Effectiveness of Pulse Oximetry and Ankle Brachial Index in Detecting Peripheral Arterial Disease in Diabetic Foot Ulcer Patients
Effectiveness of Pulse Oximetry and Ankle Brachial Index in Detecting Peripheral Arterial Disease in Diabetic Foot Ulcer Patients Open
Background: Peripheral arterial disease (PAD) leads to significant morbidity and mortality in Diabetic population due to the development of “Diabetic Foot Syndrome”. Peripheral Arterial Disease (PAD) is underdiagnosed, undertreated, poorly…
View article: AI Healthcare Assistant: Integrating Symptom-Based Chatbot, Medical Image Analysis, and Real-Time Vitals Monitoring for Comprehensive Disease Prediction
AI Healthcare Assistant: Integrating Symptom-Based Chatbot, Medical Image Analysis, and Real-Time Vitals Monitoring for Comprehensive Disease Prediction Open
Healthcare systems worldwide face challenges in accessibility, early diagnosis, and patient monitoring. This paper presents an integrated AI Healthcare Assistant that combines natural language processing (NLP), deep learning for medical im…
View article: AI Healthcare Assistant: Integrating Symptom-Based Chatbot, Medical Image Analysis, and Real-Time Vitals Monitoring for Comprehensive Disease Prediction
AI Healthcare Assistant: Integrating Symptom-Based Chatbot, Medical Image Analysis, and Real-Time Vitals Monitoring for Comprehensive Disease Prediction Open
Healthcare systems worldwide face challenges in accessibility, early diagnosis, and patient monitoring. This paper presents an integrated AI Healthcare Assistant that combines natural language processing (NLP), deep learning for medical im…
View article: AI Healthcare Assistant: Integrating Symptom-Based Chatbot, Medical Image Analysis, and Real-Time Vitals Monitoring for Comprehensive Disease Prediction
AI Healthcare Assistant: Integrating Symptom-Based Chatbot, Medical Image Analysis, and Real-Time Vitals Monitoring for Comprehensive Disease Prediction Open
Healthcare systems worldwide face challenges in accessibility, early diagnosis, and patient monitoring. This paper presents an integrated AI Healthcare Assistant that combines natural language processing (NLP), deep learning for medical im…
View article: BailabUNC/SpectraDerma: v0.0
BailabUNC/SpectraDerma: v0.0 Open
We're excited to announce the first official release of SpectraDerma - a comprehensive photoplethysmography (PPG) analysis system for spectral dermatological applications with machine learning capabilities for physiological signal processi…
View article: BailabUNC/SpectraDerma: v0.0
BailabUNC/SpectraDerma: v0.0 Open
We're excited to announce the first official release of SpectraDerma - a comprehensive photoplethysmography (PPG) analysis system for spectral dermatological applications with machine learning capabilities for physiological signal processi…
View article: Prototype Development for Non-Invasive Deep Vein Thrombosis Detection via Reflectance Photoplethysmography
Prototype Development for Non-Invasive Deep Vein Thrombosis Detection via Reflectance Photoplethysmography Open
Deep Vein Thrombosis (DVT) has garnered significant attention from various stakeholders due to its simplistic yet fatal nature. This study focuses on investigating blood flow in the deep veins, particularly at the lower calf leg muscle usi…
View article: Data for: Synchronized multimodal dataset for central–autonomic coupling in meditation and rest
Data for: Synchronized multimodal dataset for central–autonomic coupling in meditation and rest Open
We present a fully synchronized multimodal dataset of electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), galvanic skin response (GSR), heart rate (HR), RR intervals, and photoplethysmography (PPG) collected from 8…
View article: Data for: Synchronized multimodal dataset for central–autonomic coupling in meditation and rest
Data for: Synchronized multimodal dataset for central–autonomic coupling in meditation and rest Open
We present a fully synchronized multimodal dataset of electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), galvanic skin response (GSR), heart rate (HR), RR intervals, and photoplethysmography (PPG) collected from 8…
View article: Adaptive Parameter Optimization for Robust Remote Photoplethysmography
Adaptive Parameter Optimization for Robust Remote Photoplethysmography Open
Remote photoplethysmography (rPPG) enables contactless vital sign monitoring using standard RGB cameras. However, existing methods rely on fixed parameters optimized for particular lighting conditions and camera setups, limiting adaptabili…
View article: Diagnostic Performance of Photoplethysmography (PPG) for Early Vascular Compromise in a Customisable In Vitro Flap Model
Diagnostic Performance of Photoplethysmography (PPG) for Early Vascular Compromise in a Customisable In Vitro Flap Model Open
Background Free flap reconstruction is a cornerstone of plastic surgery, yet vascular thrombosis, a blockage of the supporting blood vessels,(3%–5% incidence) requires early detection for salvage. Traditional clinical assessment is subject…
View article: Adaptive Parameter Optimization for Robust Remote Photoplethysmography
Adaptive Parameter Optimization for Robust Remote Photoplethysmography Open
Remote photoplethysmography (rPPG) enables contactless vital sign monitoring using standard RGB cameras. However, existing methods rely on fixed parameters optimized for particular lighting conditions and camera setups, limiting adaptabili…
View article: A Lightweight Method for Non-Invasive Blood Pressure Estimation Using PPG and Hjorth Parameters for Wearable Devices
A Lightweight Method for Non-Invasive Blood Pressure Estimation Using PPG and Hjorth Parameters for Wearable Devices Open
This work proposes a lightweight, non-invasive approach for estimating systolic and diastolic blood pressure (BP) from photoplethysmography (PPG) signals, leveraging Hjorth parameters as core features. By combining Hjorth descriptors—activ…
View article: Central arterial stiffness, flow-mediated dilation and venous function in postural orthostatic tachycardia syndrome (POTS)
Central arterial stiffness, flow-mediated dilation and venous function in postural orthostatic tachycardia syndrome (POTS) Open
Postural Orthostatic Tachycardia Syndrome (POTS) is a debilitating disorder characterised by excessive increases in heart rate upon standing and poor orthostatic tolerance. Impairments in large artery, endothelial, and venous function may …
View article: A textile-based alignment-free electrophysiological sensing sleeve for comprehensive cardiovascular monitoring
A textile-based alignment-free electrophysiological sensing sleeve for comprehensive cardiovascular monitoring Open
Continuous monitoring of cardiovascular risk factors in daily life is crucial for disease prevention and management. Current wearable systems, such as photoplethysmography (PPG), ultrasound, and pressure sensors, can capture some of these …
View article: Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation Open
Translating non-invasive signals such as photoplethysmography (PPG) and ballistocardiography (BCG) into clinically meaningful signals like arterial blood pressure (ABP) is vital for continuous, low-cost healthcare monitoring. However, temp…
View article: Evaluation of skin pigmentation effect on photoplethysmography signals using a vascular finger phantom with tunable optical and mechanical properties
Evaluation of skin pigmentation effect on photoplethysmography signals using a vascular finger phantom with tunable optical and mechanical properties Open
View article: Enhanced Noise Reduction in Photoplethysmography Signals Using a Denoising Autoencoder
Enhanced Noise Reduction in Photoplethysmography Signals Using a Denoising Autoencoder Open
View article: Real-Time Subject-Specific Predictive Modeling of PPG Signals for Artifact-Resilient SpO2 Estimation Under Hypoxia
Real-Time Subject-Specific Predictive Modeling of PPG Signals for Artifact-Resilient SpO2 Estimation Under Hypoxia Open
Photoplethysmography (PPG) is widely used in health monitoring, but its reliability is often compromised by artifacts, limiting accurate peripheral arterial oxygen saturation (SpO2) estimation. Moreover, physiological and demographic facto…
View article: Feature extraction tool using temporal landmarks in arterial blood pressure and photoplethysmography waveforms
Feature extraction tool using temporal landmarks in arterial blood pressure and photoplethysmography waveforms Open
This study presents an automatic feature extraction tool that first detects temporal location of landmarks within each cardiac cycle of ABP and PPG waveforms, including the systolic phase onset, systolic phase peak, dicrotic notch, and dia…
View article: Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models
Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models Open
Heart rate estimation from photoplethysmography (PPG) signals generated by wearable devices such as smartwatches and fitness trackers has significant implications for the health and well-being of individuals. Although prior work has demons…
View article: A Nutrition Multimodal Photoplethysmography Language Model
A Nutrition Multimodal Photoplethysmography Language Model Open
Hunger and satiety dynamics shape dietary behaviors and metabolic health, yet remain difficult to capture in everyday settings. We present a Nutrition Photoplethysmography Language Model (NPLM), integrating continuous photoplethysmography …
View article: Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models
Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models Open
Heart rate estimation from photoplethysmography (PPG) signals generated by wearable devices such as smartwatches and fitness trackers has significant implications for the health and well-being of individuals. Although prior work has demons…
View article: A Nutrition Multimodal Photoplethysmography Language Model
A Nutrition Multimodal Photoplethysmography Language Model Open
Hunger and satiety dynamics shape dietary behaviors and metabolic health, yet remain difficult to capture in everyday settings. We present a Nutrition Photoplethysmography Language Model (NPLM), integrating continuous photoplethysmography …
View article: Multimodal Patient Monitoring System for Abnormality Detection using Hybrid CNN-BiLSTM model
Multimodal Patient Monitoring System for Abnormality Detection using Hybrid CNN-BiLSTM model Open
The prompt and precise identification of heart abnormalities from biological information is essential in advanced healthcare systems. This paper introduces an AIbased hybrid framework for real-time detection of cardiac anomalies by combini…
View article: Multimodal Patient Monitoring System for Abnormality Detection using Hybrid CNN-BiLSTM model
Multimodal Patient Monitoring System for Abnormality Detection using Hybrid CNN-BiLSTM model Open
The prompt and precise identification of heart abnormalities from biological information is essential in advanced healthcare systems. This paper introduces an AIbased hybrid framework for real-time detection of cardiac anomalies by combini…
View article: EstNet: A Non-Invasive Blood Pressure Estimation System using Photoplethysmography Signal
EstNet: A Non-Invasive Blood Pressure Estimation System using Photoplethysmography Signal Open
Non-invasive, continuous blood pressure (BP) monitoring is crucial for early detection of hypertension. Photoplethysmography (PPG) signals offer a low-cost, wearable-compatible alternative to cuff-based measurements. This study proposes Es…
View article: Acute and Chronic Effects of a High-Intensity Interval Training Shock Microcycle on Cell-Free DNA: A Randomized Controlled Trial
Acute and Chronic Effects of a High-Intensity Interval Training Shock Microcycle on Cell-Free DNA: A Randomized Controlled Trial Open
Background This study aimed to evaluate acute and chronic exercise-induced changes in cell-free DNA (cfDNA) concentrations during a 7-day high-intensity interval training (HIIT) shock microcycle in trained endurance athletes. Thirty-five p…
View article: A Study on Evaluating Cardiovascular Diseases Using PPG Signals
A Study on Evaluating Cardiovascular Diseases Using PPG Signals Open
The widely used oximeter design was adopted and improved as the configuration mainframe in this study to acquire PPG signals. When users wear a finger probe and input their height, the device acquires PPG signals through the probe circuit,…