Android example showing Bluetooth communication with Xiaomi Mi Band 2. Demonstrates device pairing, data syncing, activity tracking, heart rate monitoring, and notification handling. Provides reference code for wearable device integration.
Non-contact real-time heartbeats and respiration monitoring using Artificial Light Texture (ALT).
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
Programmable smart device for smart homes, IoT applications, wearable devices, robotics and more...
"BRACU CSE360: Computer Interfacing" Laboratory Project - Fall 2020
Toolbar application that leverages OpenCV's powerful computer vision capabilities and MediaPipe's pose detection to create an intelligent posture monitoring system. Running discreetly in your system tray, it provides real-time feedback and gentle reminders when your posture needs attention.
IoT based patient health monitoring system using Arduino and generic ESP8266. The proposed project can collect and send patient’s health data.
Patient Health Monitoring System Using ESP32
An attempt to make the patient monitoring system easier given the doctor to patient ratio and unavailability of enough nursing staff
🤖 AI-Powered Diet & Nutrition Assistant with OpenAI integration | Modern, responsive, and user-friendly health tracking system
Utilize unsupervised learning to analyze health data, identify patient clusters, and provide personalized health insights for improved monitoring and management.
Visualize your raw data from .avro files for the EmbracePlus device from Empatica
A Flutter app integrated with IoT devices to monitor patient vitals like heart rate and temperature. Doctors can view assigned wards and patients in real-time.
A Smart Livestock Health Monitoring System based on Internet of Things
HealthWatchful is a collection of C# libraries for comprehensive health checks and monitoring in .NET projects.
Im Rahmen der Mental Health Surveillance (MHS) am Robert Koch-Institut (RKI) werden für eine Auswahl an Indikatoren der psychischen Gesundheit von Erwachsenen basierend auf Surveydaten Zeitreihen bestehend aus gleitenden Drei-Monats-Schätzern und Glättungskurven berechnet. Dadurch sollen Entwicklungen in der psychischen Gesundheit der erwachsene...
Health Monitoring System using ESP32 and MAX30100 sensor to measure the Heartrate and SpO2 levels in a person
This project demonstrates a fault detection mechanism on a state machine using a server-client architecture .
HealthVitals is a Raspberry Pi-based system designed to monitor and analyze health vitals, such as heart rate and temperature. It detects abnormal readings, triggers alerts, and stores data for further analysis, ensuring users can maintain optimal health.
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