New IoT Wearable System can Diagnose Stomach Diseases

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Research groups from the University of California at San Diego and Berkeley have developed an IoT wearable system that can monitor digestive and stomach activities.

The system consists of batteries ready-made electrodes, and custom circuit boards. It is connected to smart phone applications, but the real work of researchers is to design algorithms that can recognize and analyze different electrical signals in the stomach.

“We think the system will bring inspiration for the development of new drugs. Gastroenterologists can quickly see the location and time of abnormal rhythms in gastrointestinal tract. Therefore they can perform more accurate, faster, and personalized diagnosis.” said Amon Gharibans, one author of the team that wrote the paper and a postdoctoral fellow in bioengineering at the University of California, San Diego.

Todd Coleman, a bioengineering professor at the University of California, San Diego, points out that an operation without invasion can be able to monitor patients for long periods of time. It may bring more benefit to patients. Combining artificial intelligence (AI) and intelligent algorithms, doctors can make accurate diagnoses that are comparable to traditional exams, and they are quicker and more sensitive. As always, intelligent data analysis is the key.

Providing non-invasive methods that can be monitored for a long period of time can speed up diagnosis, which not only saves lives but also encourages more people to seek treatment as early as possible before the condition becomes serious. Combining with artificial intelligence, smart wearable devices may also help develop new areas of predictive healthcare and optimize the use of medical resources.

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