A wearable device that can conduct ECG on the go and show it on mobile and is available at cheap cost.
A TinyML based Medical device powered by Edge Impulse to predict Atrial fibrillation, AV Block 1 and Normal ECG with >90%.
We aim to bring proper heart care to developing countries. An early detection of these pathologies its vital for an effective treatment.
A complex and easy to use IoT solution to monitor heart rate.
In now days pandemic it will be helpful if you can check your heart rate, so I have created this.
This project includes hardware which will measure blood pressure, heart rate, ECG & temperature, and send to Android application & Firebase.
My application is based on the use of this kind of devices to connect our body to the cloud.
A Wearable Medical device to stream the person's health data (ECG, Heart Rate, SpO2, Activity) in a secured AWS for remote monitoring
Holter monitor with heart rate analysis, and dashboard. Based on the Azure Sphere and Azure Cloud.
A small COVID medical kit that measures SPO2, Heart Rate and ECG. ECG readings are analyzed and shared via Matlab on to ThingSpeak.
A portable device to detect and alert a person if he/she is experiencing mental stress.
Building a Electrocardiogram using Raspberry Pi and Windows IOT and sending data to Azure IOT Suit.
A device that can conduct ECG on the go and show the output graph in your mobile and web.
How to build a Low Cost ECG Device in less than 1 hour! An easy to build hardware connected via Bluetooth to a dedicated Android App
A smart cardio-health assistant based on Sparkfun Artemis ATP
Real-time workstation display of all patients in an intensive care unit. Real-time feedback to doctor's phone and concept of smart ambulance
LoraWAN, HeartRate and Enviroment Monitor
Graph live data from analog sensors.
This is a companion robot capable of analyzing heart signals, using artificial intelligence and OpenVino.
In the last month, I have become interested in applications related to smart wear, able to use IoT tools to monitor your body.
A TinyML based Medical device powered by Edge Impulse using nRF5340 DK to predict Atrial fibrillation, AV Block 1 and Normal ECG with >90%.
Improvising on Precision Farming technique, through combined efforts of DL & sensing Electrophysiological response from plant.
This kit is designed to acquire signals, filter them and record an ECG.
An ECG/EKG Holter monitor with heart rate analysis and dashboard. AWS based and powered by Microchip.