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.
"BRACU CSE360: Computer Interfacing" Laboratory Project - Fall 2020
Programmable smart device for smart homes, IoT applications, wearable devices, robotics and more...
IoT based patient health monitoring system using Arduino and generic ESP8266. The proposed project can collect and send patient’s health data.
opencv2-posture-corrector 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.
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
HealthWatchful is a collection of C# libraries for comprehensive health checks and monitoring in .NET projects.
A Smart Livestock Health Monitoring System based on Internet of Things
The Non-Invasive Cholesterol Detection (NICD) project leverages IoT devices and machine learning to estimate cholesterol levels without invasive procedures. It integrates color sensors with Raspberry Pi and Arduino, using a user-friendly interface for data input and result display.
Health Monitoring System using ESP32 and MAX30100 sensor to measure the Heartrate and SpO2 levels in a person
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...
This project demonstrates a fault detection mechanism on a state machine using a server-client architecture .
Bringing Fitness tracker Analysis and Classification to action - A Case Study for identifying useful features responsible for healthy life. Using RStudio to create a RMarkdown
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