Abstract: This article presents the design and implementation of an Internet of Things (IoT)-based remote health monitoring system for the estimation of blood pressure (BP), heart rate (HR), and blood ...

ESP32s are surprisingly good AI lie detectors.

Using Sparkfun MAX3010X library https://github.com/sparkfun/SparkFun_MAX3010x_Sensor_Library SpO2 is calulated from square root means of all raw data at 50Hz sampling ...

Abstract: Diabetes is one of the most common non-communicable conditions globally, and it has a significant impact on quality of life and a heavy burden on healthcare systems. The necessity of regular ...

The EmotiBit photoplethysmography (PPG) device allows user-owned data collection for measures of cardiovascular activity (CVA) and electrodermal activity (EDA) in naturalistic settings. The aim of ...

This article explores the importance of wearable and remote technologies in healthcare. The focus highlights its potential in continuous monitoring, examines the specificity of the issue, and offers a ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

HealthyPi 5 is an open-source sensor platform for biosignal acquisition based on Raspberry Pi RP2040 microcontroller and ESP32-C3 WiFi & BLE module used to capture vitals such as electrocardiogram ...

Monitoring cardiovascular and respiratory measurements corresponds to the precision livestock farming (PLF) objective to continuously monitor and assess dairy cows' welfare and health. Changes in ...

Newborns and preterm infants require accurate and continuous monitoring of their vital parameters. Contact-based methods of monitoring have several disadvantages, thus, contactless systems have ...