arrhythmia detection
- (10A-5C), BRAC University, Dhaka Bangladesh
- inmoresentum@inmoresentum.net
ThisGitHub Organization contains the codebasethatI/my team (team27) developed for CSE713 semester final (Fall2024) project under thesupervision ofMr. Annajiat Alim Rasel.
- ATHAR NOOR MOHAMMAD RAFEE (S_ID: 24366014) [owner]
- MD. AQIB JAWWAD (S_ID: 24366035) [member]
- ATIQUR RAHMAN (S_ID: 24366018) [member]
Popular repositoriesLoading
- ESP32TFMicro
ESP32TFMicro PublicAbstracts away all the low-level complexity of TensorFlow Lite Micro and makes it really easy to deploy TFLM models on supported ESP32 boards. By default, this library prints per ops wise execution…
C++
- ArrhythmiaDetectionModels
ArrhythmiaDetectionModels PublicThis repository contains ML codebase developed during CSE713 group project
Jupyter Notebook
- tflm_esp32
tflm_esp32 PublicForked fromeloquentarduino/tflm_esp32
My fork of eloquentarduino/tflm_esp32
C++
- .github
.github Public - AuthorProvidedFeaturesCombinedDT
AuthorProvidedFeaturesCombinedDT PublicDeploys a vanilla Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board
C++
- AuthorFeatureExtractedDecisionTreeEsp32S3
AuthorFeatureExtractedDecisionTreeEsp32S3 PublicDeploys a vanilla non-optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit
C++
Repositories
- OptimizedMLPFloat32 Public
Deploys a simple MLP to ESP32-S3 chip to do arrhythmia classification using Chapman ECG dataset
arrhythmia-detection/OptimizedMLPFloat32’s past year of commit activity - ESP32TFMicro Public
Abstracts away all the low-level complexity of TensorFlow Lite Micro and makes it really easy to deploy TFLM models on supported ESP32 boards. By default, this library prints per ops wise execution time via Serial. This makes it really easy to collect metrics for logging.
arrhythmia-detection/ESP32TFMicro’s past year of commit activity - AuthorProvidedFeaturesCombinedDT Public
Deploys a vanilla Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board
arrhythmia-detection/AuthorProvidedFeaturesCombinedDT’s past year of commit activity - AuthorProvidedFeaturesCombinedDTOptimized Public
Deploys an optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board
arrhythmia-detection/AuthorProvidedFeaturesCombinedDTOptimized’s past year of commit activity - AuthorFeatureExtractedDecisionTreeOptimizedEsp32S3 Public
Deploys an optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit
arrhythmia-detection/AuthorFeatureExtractedDecisionTreeOptimizedEsp32S3’s past year of commit activity - AuthorFeatureExtractedDecisionTreeEsp32S3 Public
Deploys a vanilla non-optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit
arrhythmia-detection/AuthorFeatureExtractedDecisionTreeEsp32S3’s past year of commit activity - ArrhythmiaDetectionModels Public
This repository contains ML codebase developed during CSE713 group project
arrhythmia-detection/ArrhythmiaDetectionModels’s past year of commit activity
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