FacePulseRate: A suite of features to facilitate the use of pulse-rate algorithms included in iPhys Toolbox.

This is my Bachelor's degree thesis in Sport Technology at BUT. The aim of this thesis is to estimate the HR from PPG and also estimate the quality of PPG signals.

Repository for "Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State" AICS 2022

Blood Pressure Estimation from PPG Signals Using Machine Learning

Firmware for the Heartfelt Cardiac Monitor. Consists of sensor (MAX86150) driver, WiFi and Bluetooth connectivity, and client authentication.

Notebook containing BP and PPG signal processing and ANN utilization for determining BP from PPG signals.

Implementations of modern machine-learning papers , including PPO ,PPG and POP3D

The LOTUS is a GUI primarily built to read, compile, and analyse raw Empatica EmbracePlus data over user-defined periods of time. Fragmented 'chunks' of raw timeseries data output by Empatica (i.e., EDA, BVP, systolic peaks, temperature, accelerometer, and event tags) can be selectively reconstituted as continuous timeseries for further processing.

Benchmarking open-source PPG foundation models (Pulse-PPG, PaPaGei-S) for biological age prediction on clinical data

A windows-based software to record human respiratory signal by using the Microsoft Kinect 2 sensor

Example patch for Max/MSP and PureData to access kiwirious PPG sensor for data visualization and prototyping purpose

A signal quality assessment pipeline and dashboard for wearable physiological data

Ambulatory blood pressure monitor — ESP32-S3 + MAX30102 PPG + AD8232 ECG + BLE (NimBLE) — SLIIT Final Year Project 2022

Deep learning tools for blood pressure

BMME 575 Final Project. A U-Net deep learning model for estimation of HR, adapted from Yu et al.

Algorithm that detects artefacts in PPG signal and corrects them with local forecasts

Phasic Policy Gradient (PPG) implementation on a biased Gymnasium-based Sudoku environment

This repository contains heart rate analysis including time and frequency domain. The extracting algorithms are Eulerian Video Magnification. (not included)

Accurately predict blood pressure in real-time by integrating features from multiple wearable sensor signal channels with just a few seconds of input signal.

An Adjustable Photoplethysmography Evaluation System for Educational Activities