In a new study published in the journal Health Psychology, 58 physically inactive young adults wore fitness tracking smartwatches for three months and were assigned goals to increase their activity levels.
In a new study published in the journal Health Psychology, 58 physically inactive young adults wore fitness tracking smartwatches for three months and were assigned goals to increase their activity levels.
Here we discuss 4 considerations often overlooked when designing the medical devices to optimize your medical device and ensure the development process smoothly and rapidly.
Active high-pass filters remove unwanted low-frequency signals while preserving useful higher frequencies. This article covers first- and second-order filter design, Sallen-Key and multiple-feedback topologies, and practical applications in audio electronics, instrumentation, and signal processing.
A new glove with more than three dozen actuators across all five fingers and the palm, developed by Cornell researchers, aims to reduce swelling for people suffering from edema.
AI-powered artificial muscles made from pliable materials are reshaping recovery, from stroke rehabilitation to prosthetic design. These machines help people regain motion, strength, and confidence.
Researchers at ETH Zurich have developed an innovative hand exoskeleton that helps persons after stroke re-learn how to grasp. Its accordion-like structure makes it light, robust and easy to integrate into everyday life.
AI-powered artificial muscles made from pliable materials are reshaping recovery, from stroke rehabilitation to prosthetic design. These machines help people regain motion, strength, and confidence.
MIT CSAIL researchers enhance robotic precision with sophisticated tactile sensors in the palm and agile fingers, setting the stage for improvements in human-robot interaction and prosthetic technology.
In a new study published in the journal Health Psychology, 58 physically inactive young adults wore fitness tracking smartwatches for three months and were assigned goals to increase their activity levels.
Here we discuss 4 considerations often overlooked when designing the medical devices to optimize your medical device and ensure the development process smoothly and rapidly.
We proclaim 2022 The Year of Innovation. In this "End of the Year" list we highlight 25 Campus high-tech, innovative companies, including multi-nationals, startups, scale-ups and everything in-between. These are companies of the future, and they’re all here at HTCE.
Imagine going to the hospital with symptoms of a heart attack, only to wait an hour for the test results and treatment. With each minute ticking by, your health is in jeopardy. Siemens Healthineers is now rewriting what is possible and has set out to change this scenario in emergency departments across the world.
In this episode, we talk about NeuralTree: a neural interface capable of detecting neural impulses associated with brain disorders and countering them.
While babies have a natural mechanism for alerting their parents that they need a diaper change, a new sensor developed by researchers at Penn State could help workers in daycares, hospitals and other settings provide more immediate care to their charges.
Artem Meinov, a PhD student at the Faculty of Software Engineering and Computer Systems, has developed a prosthetic training aid for people with motor disorders. The new device helps to strengthen elbow flexor muscles and, in contrast to its competitors, it’s portable and can be personalized.
If you talk to the co-founders of Campus startup Autoscriber, they will tell you the biggest revolution in healthcare will be data-driven. “The moment you talk to your doctor and say, ‘I have a headache,’ artificial intelligence will start to mine your whole medical history. It will compare it to other people with your genetic background to calculate what is the most likely diagnosis,” said Koen Bonenkamp, one of two Autoscriber co-founders. This is the company’s vision behind its software.
Columbia University devising a way to grow engineered skin in complex, three-dimensional shapes, making it possible to construct, for example, a seamless “glove” of skin cells that can be easily slipped onto a severely burned hand.
EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.
A dive into how AI is helping overcome limitations with current prosthetics by offering improved signal decoding, functionality and more intuitive control.