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peterhcharlton/README.md

👋 Hi, I'm Peter Charlton

GitHub followers CV

I am an engineer and researcher specialising in signal processing for wearables, with applications in health and wellbeing.

My work focuses on extracting meaningful physiological insights from signals such as PPG, ECG, and accelerometry, and applying machine learning to develop new health metrics.

For more details, see my website:

👉 peterhcharlton.github.io 👈

Peter's GitHub stats

🔗 Connect with me

🚀 Current Work

  • ❤️ Developing novel machine learning methods for electrocardiography (ECG) data.
  • 🩺 Benchmarking machine learning methods for photoplethysmography (PPG) data.
  • 🤝 Contributing to open-source projects such as NeuroKit.

🌟 Highlights

  • 🔬 Award-winning research into signal processing for biosignals, published in top journals and conferences.
  • 🛠️ Open-source contributions adopted by researchers worldwide.
  • 📖 Author of review papers and textbook chapters on wearable devices and signal processing.

Pinned Loading

  1. ppg-beats ppg-beats Public

    PPG-beats is a Matlab library of algorithms to detect heartbeats in photoplethysmogram (PPG) signals.

    MATLAB 74 12

  2. RRest RRest Public

    Algorithms to estimate respiratory rate from physiological signals

    MATLAB 185 59

  3. pwdb pwdb Public

    Scripts for generating and analysing the simulated Pulse Wave DataBase

    MATLAB 40 15

  4. bsp-book bsp-book Public

    An introduction to processing wearable sensor data

    Jupyter Notebook 19 3

  5. neuropsychology/NeuroKit neuropsychology/NeuroKit Public

    NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

    Python 2k 485

  6. godamartonaron/GODA_pyPPG godamartonaron/GODA_pyPPG Public

    pyPPG v01

    MATLAB 58 18