Non-Invasive Vital Sign Monitoring

Photoplethysmography-based glucose estimation with feature selection

This paper estimates glucose levels from PPG signals using feature selection and machine learning, finding modest predictive power but below clinical standards.

Non-contact optical imaging of tissue deformation enables in vivo cardiovascular monitoring

This study uses non-contact optical imaging to monitor cardiovascular parameters in vivo, showing strong agreement with reference metrics for heart rate and pulse wave velocity.

Temple PPG Morphology Demonstrates a Stronger Cardiovascular Age Signal Than Wrist Sites

This study compares PPG morphology features from temple and wrist sites, finding stronger age correlations at the temple.

Impedance-Derived Heart Rate and Heart Rate Variability from tDCS Output Voltage: Sensorless Physiological Monitoring During Electrical Neuromodulation

This paper shows that heart rate, heart rate variability, and respiration can be estimated from tDCS output voltage without additional sensors.

A Reusable Non-Adhesive Chest-Wall Acoustic Wearable Estimates Respiratory Rate During Rest and Exercise

This study evaluates a reusable non-adhesive wearable that estimates respiratory rate during rest and exercise using acoustic and inertial sensing, showing high accuracy in most conditions.

Spectral emission profile and wavelength tolerances affect pulse oximeter performance

This study evaluates how LED spectral profiles and wavelength tolerances impact pulse oximeter accuracy in different skin pigmentation scenarios, finding that monochromatic light reduces errors while LED profiles increase them.

Wearable Dual-Modality Plethysmography for Arterial Modulation and Blood Pressure Dip

This paper evaluates a wearable dual-modality device combining IPG and PPG, showing IPG's superior sensitivity to arterial recovery and dynamic changes during napping.

Speckle contrast optical spectroscopy improves cuffless blood pressure estimation compared to photoplethysmography

This paper develops a high-speed Speckle Contrast Optical Spectroscopy (SCOS) system for cuffless blood pressure estimation, showing a 31% improvement over photoplethysmography (PPG) in systolic BP estimation with low error.

Machine learning nominal max oxygen consumption from wearable reflective pulse oximetry with density functional theory

The paper uses machine learning to infer maximum oxygen consumption from wearable pulse oximetry data, achieving high correlation with standard measurements.

Characterising the Photoplethysmography Pulse Waveform for Use in Human Neuroscience: The Hybrid Excess and Decay (HED) Model

The paper introduces the HED model to characterize PPG waveforms, showing it captures physiological changes with high precision in a pharmacological study.

"Devil's stairs", Poisson's Statistics, and Patient Sorting via Variabilities for Oxygenation: All from Arterial Blood Gas Data

The paper analyzes arterial blood gas data to show that oxygenation levels exhibit Poisson-distributed switchings and form distinct subsets based on variability quantifiers.

RealTime Heart Rate Monitoring Using Photoplethysmographic (PPG) Signals During Intensive Physical Exercises

This paper proposes a framework for real-time heart rate monitoring using PPG signals during physical exercises, achieving low computational costs and high accuracy.