Singapore Researchers Use Fitbits to Predict Depression #WearableWednesday
Interesting research out of Singapore’s Nanyang Technological University. Depression is tricky and hard to talk about, let alone quantify. The researchers were able to diagnose depression with an 80% accuracy.
In the study, the researchers asked 290 adult participants to wear Fitbit Charge 2 devices for 14 straight days, taking them off only to shower and to recharge the battery. The Fitbits tracked physical activity, heart rate, energy levels, and sleep patterns, and then analyzed that data with a Ycogni machine learning model that was built to predict depression.
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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EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
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!