Researchers are developing skin-like Smartwatches electronics that could work with artificial intelligence (AI) to potentially detect problems such as …
Researchers are working to create electronics that may be worn next to the skin and use artificial intelligence to identify new health risks. Intrinsically stretchable neuromorphic devices for on-body health data processing with artificial intelligence was the study title that appeared in the journal Matter.
Even while wearable electronics that are flexible and compact are becoming more widespread, their full potential has not yet been realized. Future applications of this technology may include precise medical monitors implanted in the body to do continuous monitoring and diagnosis. It would be like always having access to a state-of-the-art hospital.
The Argonne National Laboratory and the Pritzker School of Molecular Engineering at the University of Chicago are collaborating on developing a skin-like device (PME). Professor Sihong Wang, an assistant at the UChicago PME who works at Argonne in the Nanoscience and Technology department, is in charge of the initiative.
Smartwatches Cellular Data Transmission
By being worn on a regular basis in the future, wearable electronics may be able to detect the onset of serious diseases, including heart disease, cancer, and multiple sclerosis, well before the onset of any noticeable symptoms. Smartwatches Device users could benefit from a customized study of their health data and reduced reliance on cellular data transmission.
The age, medical history, and other factors can affect the assessment for the same medical measurements, Wang added. “Such a diagnosis is incredibly data demanding” because it requires a large amount of health data to be collected continually throughout time.
Such a gadget would have to accomplish more than even the most advanced smartwatches can now in collecting and processing data. Also, it would need to perform all of this data processing with minimal size and power requirements.
In order to meet this requirement, the group turned to neuromorphic computing. This artificial intelligence system learns to like the brain does by rehearsing previous Smartwatches data. Compared to other forms of AI, it is quicker, uses less power, and can work with stretchy materials.
Integrating technology into a skin-like stretchy material was another key difficulty for the team. A semiconductor is the most important part of any electronic gadget. This is often a silicon chip in today’s computers and mobile Smartwatches devices. The semiconductor in stretchable electronics must be extremely malleable while maintaining electrical conductivity.
The neuromorphic “chip” developed by the group is similar to human skin in that it is made of a thin coating of a polymer semiconductor and flexible gold nanowire electrodes. Their invention worked as expected, even after being stretched to double its original size without developing any cracks.
The scientists constructed an AI sensor for one test and trained it to differentiate healthy electrocardiogram (ECG) impulses from four other signals signaling health concerns. Following initial setup and training, the gadget achieved an accuracy rate of over 95% when attempting to recognize ECG signals.
The flexible semiconductor was also analyzed on beamline 8-ID-E at Argonne’s Advanced Photon Source (APS), a DOE Department of Science user facility. When subjected to a powerful X-ray beam, the substance of the skin-like device’s molecules reorganized in a way that disclosed their reorganization upon lengthening by a factor of two; these findings helped elucidate the material’s atomic-level characteristics.
A scientist from Argonne, Joe Strzalka, suggested that the APS’s X-ray beam intensity may be increased by a factor of 500 with the anticipated modification. “We are excited to investigate the device’s constituents as they undergo a typical operation, engaging with energetic particles and experiencing environmental voltage fluctuations. The structural reaction of the medium at the molecular basis will be captured in a movie rather than a single still image.” The increased beamline intensity and improved detectors will allow for the precise measurement of the material’s softness or hardness in response to its surrounding conditions.
While more work needs to be done in a few areas, Wang says their technology has the potential to transform how people learn about Smartwatches and manage their health.