sunmin123456

sunmin123456's Stars

• Aura-healthcare/hrv-analysis

  Package for Heart Rate Variability analysis in Python

  Language:Python399103498

• WangXuan95/FPGA-HDMI

  An FPGA-based HDMI display controller. 基于FPGA的HDMI显示控制器

  Language:Verilog432010

• zhiqan/SeGMVAE

  A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis

  Language:Python36209

• chandanacharya1/ECG-Feature-extraction-using-Python

  Extraction of ECG data features (hrv) using python

  Language:Python284111

• vinuni-vishc/Few-Shot-Cosine-Transformer

  Few shot learning for human pose estimation

  Language:Python28405

• vinuni-vishc/MPCNN-Sleep-Apnea

  Language:Jupyter Notebook15113

• Petecheco/Bearing-Fault-Diagnosis

  The full inplementation of bearing fault diagnosis

  Language:Python8101

• YizongZhang/HDMTL

  Spatio-Temporal feature Adaptive Sharing

  Language:Jupyter Notebook5

• alirezaamir/HDL-SpikingNet-ECG

  An FPGA Implementation for ECG Classification Inference with Spiking Neural Network

  Language:Verilog410

• dasjaydeep2001/Efficient-On-Chip-Seizure-Detection-System-Using-SVM-Based-VLSI-Design

  This on-chip system, designed for high efficiency and accuracy, is based on Very Large Scale Integration (VLSI) and employs a nonlinear Support Vector Machine (SVM). It comprises a feature extraction (FE) module that extracts relevant features from electroencephalogram (EEG) signals and an SVM module that efficiently learns and classifies seizures.

  Language:Verilog410

• WYJBIT/ECGSleepNet

  A rnn-cnn based network for sleep stage classification using ECG signals.

  Language:Python4201

• adarshv96/GCN-WESAD-SWELL

  Codes for the paper "MENTAL STRESS DETECTION FROM ULTRA-SHORT HEART RATE VARIABILITY USING EXPLAINABLE GRAPH CONVOLUTIONAL NETWORK WITH NETWORK PRUNING AND QUANTISATION"

  Language:Python3110

• alexsalman/Heart-Rate-Variability

  2025 - Heart Rate Variability Processing with Artificial Intelligence Techniques.

  Language:Python3300

• CheerUpBee/1D-Causal-Dilated-Convolution

  1D causal convolution for FPGA

  Language:Verilog310

• huangjintaoa/Gowin_FPGA_IP_FIR_filter_design

  基于高云FPGA的IP设计的FIR低通滤波器gowin_FPGA_IP_FIR_filter_design

  Language:GLSL3110

• JayL323/k230_AI_Demo_Code_Flow_Introduction

  Language:C++3100

• JayL323/K230_AI_Demo_Development_Process_Analysis

  基于K230的AI算法开发是把已训练好AI模型在PC上的推理流程，移植到K230开发板的过程

  Language:C++3110

• dafei2017/Multi_modal-decision-fusion-neural-network-for-emotion-recognition-using-face-EEG

  The frequency spectrum features were extracted from EEG by the power spectral density(PSD), and then the features were classified into emotions by Gated Recurrent Unit(GRU) with attention mechanism. The sequential characteristic of CV and the sequential information of EEG signal are fused for multi-mode decision making.

  Language:Python2210

• eolabcolab/SNN-sEMG-GestureClassification-ForceTracking

  This repository contains the implementation of a Spiking Neural Network (SNN) for both hand gesture classification and continuous force tracking using surface electromyographic (sEMG) signals. The model is optimized for real-time processing on low-power FPGA devices

  Language:Jupyter Notebook2

• Abhijeet07Singh/ECG-Monitoring

  Language:Verilog110

• ahnafshahrear/Signal-Processing-EEG

  Academic Lab Course of the 27th batch of Computer Science & Engineering | University of Rajshahi - 🇧🇩

  Language:Verilog110

• antony-zhao/HeartRateVariability

  Language:Jupyter Notebook1100

• Anxious-owl/ECG_Spark_project

  Summer Internship Project @ IIT Roorkee 2024

  Language:Verilog110

• blackforest09/fpga_ArtificialVision

  Language:Verilog11150

• emiirkaya/Metro

  Metro station display through an FPGA Board using verilog

  Language:Verilog110

• ibrahim-mostafaa/Hardware-Acceleration-of-EEG-Signals-Compression

  Language:Verilog110

• jianqiwang12/k210_standalone_demo

  Language:C1100

• keyminy/FPGA_watch

  Language:Verilog110

• MohMsh/CVDs_HRV

  Prediction of Cardiovascular Diseases with Heart Rate Variability Data and Machine Learning

  Language:Python110

• saidurga4521/Fault-detection-and-Diagnostics-using-ML

  Language:Jupyter Notebook110