Htet Yamin Ko Ko's Projects
AD8232 Heart Rate Monitor
AndroBluetooth is a sample Android project to show how to interact with Bluetooth API.
BLE Framework. Based on Bluetooth 4.0. Based on callback. Extremely simple! Communication with BluetoothLE(BLE) device as easy as HTTP communication. Androidไฝๅ่่็ไพฟๆทๆไฝๆกๆถ๏ผๅบไบๅ่ฐ๏ผๅฎๆ่็่ฎพๅคไบคไบๅฐฑๅๅ้็ฝ็ป่ฏทๆฑไธๆ ท็ฎๅใ
Sample android app to query and manipulate mysql database
The repository contains tutorials for android as individual projects
Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training
How to pair with a bluetooth device in your android applications
Book collection
Using MQTTBox as a Data Testing Platform for Azure IoT Hub.
Multiple samples showing the best practices in connectivity on Android.
This respository is to save the ECG Signal Analysis performed for the Arrhythmia and Atrial Fibrillation Detection. In this study, MIT-BIH Arrhythmia, MIT-BIH AF and Thammasat University AF datasets are used.
Machine Learning on ECG to predict heart-beat classification.
This is the mobile application development for the remote patient monitoring system.
FirstCommit
Android application for the EKG ESP32 device
Arduino ESP32 with AD8232 client software to transmit heart beat rate to MQTT server
A lightweight set of tools for working with ArcGIS services in Leaflet. :rocket:
Documentation, API Reference and Samples
An official theme for OJS 3.1.1+ designed for health science journals or any journal that wants a clean, modern appearance.
This is the dataset files (segmented 400-samples ECF wave centered at R peak location of MIT-BIH Arrhythmia Dataset.
OpenLayers 3
pLitter is a standardized, deep learning friendly dataset and pre-trained model that can be used for detecting plastic litter in streets , road-sides, etc. Additionally, all supplementary codes related to this repository are also published here.
This repository is created to save the project for the detection of Rooftop to compute the potential of Solar PV in Thailand. Sentinel 2A MSI Satellite Image is used as the input image to perform the anlaysis.
Deep Learning (a.k.a. Recent Trends in Machine Learning) course at dsai.asia
Config files for my GitHub profile.