A wearable device that seeks to diagnose movement disorders earlier than is presently possible by leveraging machine learning.
A way to identify pills using your phone when you have no internet connection.
A TinyML based wearable using Edge Impulse software to detect the tablet consumption action.
A TinyML based Medical device powered by Edge Impulse to predict Atrial fibrillation, AV Block 1 and Normal ECG with >90%.
An automatic pill dispenser aimed to ease the lives of the elderly and disabled persons.
Design and build a portable biomedical monitor that allows obtaining a diagnosis in real-time and capable of determining possible diseases.
Ever wake up in the morning found your CPAP mask is off? This device will alarm you if you have unintentionally removed mask during sleep.
Using Ultra96 and NCS to detect and classify skin cancer.
We interface one of our most popular Arduino shields, the ADS1292R ECG/Respiration shield, to ProtoCentral's new ESP32 platform.
