cool89's starred repositories
HeartRate-Tracking
The PPG signal is collected at the wrist by a watch. There are three types of noise that need to be eliminated. The format of data: A: PPG-G(7.5x10^-7 = uA), B: ACC-X, C: ACC-Y, D: ACC-Z.
OptimizedArrhythmiaDetection
Code for Optimized Arrhythmia Detection on Ultra-Edge Devices
awesome-bilibili
b 站的宝藏 up 主名单,他们教技术。关于 Web 开发、计算机科学、机器学习、游戏开发、网络安全等 😎
signalprocessingcode
数字信号处理C语言程序集
Python-Machine-Learning-zh
Python机器学习,机器学习入门首选。
freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
nidaqmx-continuous-analog-io
This script shows how to use nidaqmx package to simultaneously and continuously write to and read from an NI DAQ measurement card analog I/O's.
openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
ECGAnalysis
EP Limited: Open Source ECG Analysis Software Beat Detection and Classification Source Code
my-gait-events-tcn
Gait events detection from wearable inertial measurement units based on a temporal convolutional neural network
VCG_Notebooks
Jupyter Notebooks for extracting ECG data and calculating VCGs
wearablecompute
wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.
deep-physical-activity-prediction
"UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions" @ IEEE HealthCom 2022
bachelor-thesis
Recognition of Multi-Level Human Activities by Implementing an "Activity Recognition Chain" in a Benchmark Dataset. (2018)
self-attention-HAR
[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"