Although a work in progress, the project aims to provide a non-invasive wearable for ambulatory supervised monitoring and self-monitoring of the human circadian rhythm.
Indeed, there is a lack of both accurate and non-invasive and durable devices to monitor the human circadian rhythm: often, the devices are invasive (such as for core body temperature sensing), or are inaccurate (wrist PPG instead of ECG, low sampling rate), and even when these two criteria are met, most devices cannot last at least 24h, which makes them unusable to monitor a full circadian cycle, especially for circadian rhythm disorders such as non-24 where one cycle can be much longer than 24h. However, to allow for self-monitoring of the circadian rhythm, a device needs to fulfill at least these 3 criteria (and more). This project aims to provide a set of devices to capture most of the biological signals that can objectively reflect or affect the human circadian rhythm.
Every Wednesday is Wearable Wednesday here at Adafruit! We’re bringing you the blinkiest, most fashionable, innovative, and useful wearables from around the web and in our own original projects featuring our wearable Arduino-compatible platform, FLORA. Be sure to post up your wearables projects in the forums or send us a link and you might be featured here on Wearable Wednesday!
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Python for Microcontrollers – Adafruit Daily — Python on Microcontrollers Newsletter: CircuitPython Comes to the ESP32-P4, Emulating Arm on RISC-V, and Much More! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey