ApplySci’s 14th Wearable Tech + Digital Health + Neurotech conference returns to MIT on April 8, 2022. The COVID crisis has emphasized our need for technology to live better, healthier, longer lives. Overcrowded hospitals, cancellations of elective surgeries, and the clear danger associated with face-to-face appointments have brough at-home and continuous health monitoring and treatment […]
Sensors
Wang’s fingertip sweat sensor detects glucose levels
UCSD’s Joe Wang has developed a totally noninvasive sensor and algorithm to detect glucose levels from sweat on the fingertip. The painless, rapid, and accurate system could revolutionize diabetes management. The systemcombines a simple touch-based fingertip sweat electrochemical sensor with a new algorithm that addresses for personal variations toward the accurate estimate of blood glucose […]
BCI / Brain
Nurmikko’s Neurograins can enable unprecedented brain signal recording detail, new therapies
Arto Nurmikko and Brown colleagues have developed BCI system which employs a coordinated network of independent, wireless microscale neural sensors, to record and stimulate brain activity. “Neurograins” independently record electrical pulses made by firing neurons and send the signals wirelessly to a central hub, which coordinates and processes the signals. In a recent Nature paper, […]
Sensors
Patch simultaneously monitors blood pressure, biochemical levels
UCSD’s Joe Wang continues to define the future of vital sign monitoring with a combination of advanced chemistry and unobtrusive wearables. Together with Professor Sheng Xu, he has developed a skin patch that continuously tracks blood pressure and heart rate while measuring glucose levels, lactate, and alcohol or caffeine. It is the first wearable device […]
AI / Covid-19
AI detects COVID in chest x rays
DeepCOVID-XR is a Northwestern University developed algorithm that automatically detects the signs of COVID-19 on a basic X-ray of the lungs. The system is able to detect COVID-19 in X-rays 10 times faster than thoracic radiologists and 1% to 6% more accurately. The developers said the AI could be used to rapidly screen patients at […]
BCI
Algorithm isolates specific brain signals, provides feedback
The US Army and USC Prof Maryam Shanechi have developed an algorithm that can determine which specific behaviors—like walking and breathing—belong to specific brain signals. Segmenting brain signals has been notoriously difficult, as all signals associated with tasks mix together. Shanechi and her team used the algorithm to separate behaviorally relevant brain signals from behaviorally […]