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Starred repositories
Build a real-time system to detect if baby is crying, and then send message to their parents to alert.
Machine learning classifier that automatically recognizes a baby crying while sleeping. This is done by implementing a Support Vector Machine (SVM) learning algorithm on a Raspberry Pi. The idea is…
Contains samples used for online baby crying detection algorithm testing
ESP32 Baby Cry Detection: Uses a sound sensor to identify crying sounds.
Starter kit and tutorials for ACM ICAIF 2024 FinRL Contest. Website: https://open-finance-lab.github.io/finrl-contest.github.io/
Alfabattle 2.0 1st task Top-6 solution: 8-folds lgbm blend
LGBM2VHDL: Tool for converting LightGBM models into VHDL implementation.
This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Adva…
We propose a machine learning method to extract blood oxygen from facial videos. This method was published by us in The Visual Computer
Synapse’s third feature is an intelligent heart rate monitor which integrates sensors with the capability to monitor the blood pressure along with force sensors. This feature is uniquely important …
Synapse’s second feature involves a smart, automated Pulse Oximeter that accurately and remotely measures heart rate (HR) and blood oxygen saturation (Spo2 level) of patients. This feature is reall…
Arduino library for SSD1306 monochrome 128x64 and 128x32 OLEDs
A package for automatically segmenting ECG signals.
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
Blood Pressure Estimation using ECG and PPG Data
Using Pulse Transit Time for estimating Blood Pressure
Including Matlab and Python code for Blood Pressure
This project aims to build a predictive model for a cuff-less blood pressure estimation device that uses machine learning to predict blood pressure based on PPG and ECG data. The model will take PP…
This is the source code for the EMBC22' cgan paper. It converts ppg signal to abp
Based on a Hybrid CNN-LSTM Network, an automated predicitve algorithm is constructed.
This project uses machine learning to classify heartbeats as regular or irregular based on ECG signals from multiple PhysioNet datasets.