Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-ppg
A comprehensive collection of PPG-related resources, including libraries, datasets, tutorials, papers, and more, for researchers and developers in the Photoplethysmography(HR/SpO2/BP) field.
https://github.com/mintisan/awesome-ppg
- HeartPy
- Neurokit
- PPG-Beats
- Photoplethysmography Signal Processing and Synthesis - 34
- Photoplethysmography in Wearable Devices: A Comprehensive Review of Technological Advances, Current Challenges, and Future Directions - 2
- The 2023 wearable photoplethysmography roadmap
- A Review of Wearable Multi-Wavelength Photoplethysmography - 35
- Dual Wavelength Photoplethysmography Framework for Heart Rate Calculation - 2 | 【红外去噪】
- Multiwavelength photoplethysmography signal analysis as a function of varied wrist contact pressure
- Multichannel Reflective PPG Earpiece Sensor With Passive Motion Cancellation - 143
- Wearable Multichannel Photoplethysmography Framework for Heart Rate Monitoring During Intensive Exercise - 55
- Improving Pulse Rate Measurements during Random Motion Using a Wearable Multichannel Reflectance Photoplethysmograph - 79
- Organic Multi-Channel Optoelectronic Sensors for Wearable Health Monitoring - 52
- Motion Artifact Reduction in Wearable Photoplethysmography Based on Multi-Channel Sensors with Multiple Wavelengths - 80
- A Critical Review of Deep Learning-Based Multi-Sensor Fusion Techniques - 4
- Systolic peak detection in acceleration photoplethysmograms measured from emergency responders in tropical conditions - 187
- An Efficient and Automatic Systolic Peak Detection Algorithm for Photoplethysmographic Signals
- Analysing noisy driver physiology real-time using off-the-shelf sensors: Heart rate analysis software from the taking the fast lane project - 79
- A robust PPG onset and systolic peak detection algorithm based on Hilbert transform - 8
- Improved Peak Detection Algorithm for Photoplethysmographic Signals - 2
- Robust PPG Peak Detection Using Dilated Convolutional Neural Networks - 12 | [code](https://github.com/HealthSciTech/Robust_PPG_PD)
- Robust PPG motion artifact detection using a 1-D convolution neural network - 44
- An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN - 24
- **Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices** - wearable/Tiny-PPG)
- Opening the envelope: Efficient envelope-based PPG denoising algorithm
- DeepHeart: Accurate Heart Rate Estimation from PPG Signals Based on Deep Learning - 12
- Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks - 229
- HeartPy: A novel heart rate algorithm for the analysis of noisy signals - 162 | [code](https://github.com/paulvangentcom/heartrate_analysis_python)
- CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment - 228
- Deep Learning for Heart Rate Estimation from Reflectance Photoplethysmography with Acceleration Power Spectrum and Acceleration Intensity - 37
- CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications - 17
- Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms - 21
- **Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices** - 27 | [code](https://github.com/eml-eda/q-ppg)
- Heart rate tracking in photoplethysmography signals affected by motion artifacts: a review - 45
- Multi-Headed Conv-LSTM Network for Heart Rate Estimation during Daily Living Activities - 13
- Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor - 17
- DeepPulse: An Uncertainty-aware Deep Neural Network for Heart Rate Estimations from Wrist-worn Photoplethysmography - 3
- ActPPG : Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring - 14
- Robust and Energy-efficient PPG-based Heart-Rate Monitoring - 22
- Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise? - 3
- Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition
- PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models - 1
- Heart rate estimation from wrist-PPG signals in activity by deep learning methods - thesis 【有讨论多通道模型，相比于单通道提升12%】
- **BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation** - siplab/BeliefPPG)
- A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables - code? | 【用 decoder 去恢复被破坏的波形】
- Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation - 2
- Pulse oximetry: Understanding its basic principles facilitates appreciation of its limitations - 696
- Pulse oximetry: Fundamentals and technology update - 415
- Pulse oximetry - 902
- Design of a new reflectance pulse oximeter by obtaining the optimal source-detector space - 15
- Machine Learning based SpO2 Computation Using Reflectance Pulse Oximetry - 23
- **Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation** - 7 | [code](https://github.com/prithusuresh/Reflectance-SPO2)
- **Learning about reflective PPG for SpO2 determination using Machine Learning** - 1 | [ear]
- Research on Multiple Spectral Ranges with Deep Learning for SpO2 Measurement - 3 | [finger]
- **Skin Pigmentation Influence on Pulse Oximetry Accuracy: A Systematic Review and Bibliometric Analysis** - 36 | 【空气间隙以及皮肤颜色在校准过程中对最后结果的影响】
- Research on Multiple Spectral Ranges with Deep Learning for SpO2 Measurement - 3
- A Deep Learning Approach to Estimate SpO2 from PPG Signals
- SpO2 Estimation Using Deep Neural Networks: A Comparative Study
- Everything About Pulse Oximetry—Part 1: History, Principles, Advantages, Limitations, Inaccuracies, Cost Analysis, the Level of Knowledge About Pulse Oximeter Among Clinicians, and Pulse Oximetry Versus Tissue Oximetry
- Reflection-Boosted Wearable Ring-Type Pulse Oximeters for SpO2 Measurement with High Sensitivity and Low Power Consumption
- Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals - 4
- **Simulating the Effects of Melanin and Air Gap Depth on the Accuracy of Reflectance Pulse Oximeters** - 4
- A review of the effect of skin pigmentation on pulse oximeter accuracy - 5
- Photoplethysmography: Technology, Signal Analysis and Applications, 1st Edition
- Creative Commons Attribution 4.0 International License
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