Researchers developed a transparent smart contact lens that uses gold nanoparticle-embedded PEDOT:PSS nanowires to improve ...

Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.

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 wearable stress monitoring device leverages real-time sensors to track key physiological indicators such as heart rate, skin conductivity, and body temperature, providing users with immediate ...

Spectra is a JavaScript-based hackable smartwatch based on the ESP32-S3 WiFi and Bluetooth microcontroller that aims to offer the quality of high-end consumer smartwatches with the repairability of a ...

Abstract: This paper investigates the respiratory rate (RR) for different physiological conditions by implicating photoplethysmographic (PPG) signal. In this paper, we have examined four physiological ...

This is an Arduino library for interfacing with the MAX32664. Specifically, this library is tailored to version A of the MAX32664 paired with the MAX30101 sensor. I have not implemented the full set ...