Lifeboat Foundation

Bulky, buzzing and beeping hospital rooms demonstrate that monitoring a patient’s health status is an invasive and uncomfortable process, at best, and a dangerous process, at worst. Penn State researchers want to change that and make biosensors that could make health monitoring less bulky, more accurate—and much safer.

The key would be making sensors that are so stretchable and flexible that they can easily integrate with the human body’s complex, changing contours, said Larry Cheng, the Dorothy Quiggle Professor in Engineering and an affiliate of the Institute for Computational and Data Sciences. His lab is making progress on designing sensors that can do just that.

If biosensors that are both energy efficient and stretchable can be achieved at scale, the researchers suggest that engineers can pursue—and, in some cases, are already pursuing—a range of options for sensors that can be worn on the body, or even placed inside the body. The payoff would be smarter, more effective and more personalized medical treatment and improved health decision-making—without a lot of bulky, buzzing and beeping pieces of monitoring equipment.

Researchers at Duke University and Michigan State University have engineered a novel type of supercapacitor that remains fully functional even when stretched to eight times its original size. It does not exhibit any wear and tear from being stretched repeatedly and loses only a few percentage points of energy performance after 10,000 cycles of charging and discharging.

The researchers envision the supercapacitor being part of a power-independent, stretchable, flexible electronic system for applications such as wearable electronics or biomedical devices.

The results appear online March 19 in Matter, a journal from Cell Press. The research team includes senior author Changyong Cao, assistant professor of packaging, mechanical engineering and electrical and computer engineering at Michigan State University (MSU), and senior author Jeff Glass, professor of electrical and computer engineering at Duke. Their co-authors are doctoral students Yihao Zhou and Qiwei Han and research scientist Charles Parker from Duke, as well as Ph.D. student Yunteng Cao from the Massachusetts Institutes of Technology.

This inflatable wristband could save your life in deep waters.

the photo series by vintner and fletcher illustrates three gradual stages of transhumanism from ‘testing ground’, ‘patient zero’ to ‘humanity 2.0’. at the lowest tier, ‘testing ground’ looks into individuals who have created wearable technology to expand their human abilities, improving everything from concentration to mental health.‘patient zero’ studies those who have taken permanent action to become half human and half robot. in the final chapter, ‘humanity 2.0’, the transhumanist subjects focus on life extension and immortality.

Incredible Ai

A new wearable sensor could save the lives of heart-failure patients.

The artificially intelligent technology helps doctors remotely detect critical changes days before a crisis occurs.

Continue reading “AI-Powered Wearable Predicts Heart Failure Before It Happens” »

This wearable chair will help doctors through long surgeries.

Forget the Thighmaster. Someday you might add a spring to your step when walking or running using a pair of mechanically powered shorts.

Step up: The lightweight exoskeleton-pants were developed by researchers at Harvard University and the University of Nebraska, Omaha. They are the first device to assist with both walking and running, using an algorithm that adapts to each gait.

Making strides: The super-shorts show how wearable exoskeleton technology might someday help us perform all sorts of tasks. Progress in materials, actuators, and machine learning has led to a new generation of lighter, more powerful, and more adaptive wearable systems. Bulkier and heavier commercial systems are already used to help people with disabilities and workers in some factories and warehouses.

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Researchers have developed a new Artificial Intelligence (AI)-based technique that can detect low-sugar levels from raw ECG signals via wearable sensors without any fingerprint test. Current methods to measure glucose requires needles and repeated fingerpicks over the day. Fingerpicks can often be painful, deterring patient compliance.

The new technique developed by researchers at University of Warwick works with an 82 per cent reliability, and could replace the need for invasive finger-prick testing with a needle, especially for kids who are afraid of those.

“Our innovation consisted in using AI for automatic detecting hypoglycaemia via few ECG beats. This is relevant because ECG can be detected in any circumstance, including sleeping,” said Dr Leandro Pecchia from School of Engineering in a paper published in the Nature Springer journal Scientific Reports.