HealthWatchful is a collection of C# libraries for comprehensive health checks and monitoring in .NET projects.
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Updated
Oct 30, 2023 - C#
HealthWatchful is a collection of C# libraries for comprehensive health checks and monitoring in .NET projects.
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
Utilize unsupervised learning to analyze health data, identify patient clusters, and provide personalized health insights for improved monitoring and management.
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
The repository is about sound based health monitoring of the industrial machines using machine learning.
Ready to Use Advanced Industry level Spring Boot Tempelate that contains all the advanced configuration setup like Swagger, API caching, Correlation, Token based Autharization and Authentication, Various Filters, AOT based logging, etc
"BRACU CSE360: Computer Interfacing" Laboratory Project - Fall 2020
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
Visualize your raw data from .avro files for the EmbracePlus device from Empatica
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
IoT based patient health monitoring system using Arduino and generic ESP8266. The proposed project can collect and send patient’s health data.
Programmable smart device for smart homes, IoT applications, wearable devices, robotics and more...
Non-contact real-time heartbeats and respiration monitoring using Artificial Light Texture (ALT).
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