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ITRI ​​showcases E-Health monitoring and inspection innovations at CES 2021

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ITRI’s In-Sleep Target Memory Consolidation (ISTMC) technology provides users with breakthrough features that seamlessly enhance the memory of selected subjects without the need for sensors such as electroencephalogram (EEG) sensors. During the day, users read out loud subjects to remember, such as new words and phrases in foreign languages, anatomical details of the human body, and election law provisions, which ITRI’s ISTMC device records. At night, ITRI’s ISTMC device enhances the brain’s process of detecting that the user is in a deep sleep phase, playing back the recorded sound, and transferring the sound-corresponding memory object from short-term memory to long-term memory. I will. An important realization technology for this innovative device is reliable and accurate when a user enters a deep sleep phase based solely on the user’s respiratory rate, heart rate, and body movements measured by a recurrent neural network application. It is a function to detect. Technology for Channel State Information (CSI) of Wi-Fi signals originating from the user’s smartphone.

ITRI ​​has developed a handheld skin quality optical coherence tomography system that replaces the traditional approach of invasive biopsy to examine the tissue under the skin. This is the first handheld optical coherence tomography (OCT) system that analyzes the subsurface skin structure and detects the collagen distribution in the dermis layer. The technology incorporates a built-in skin quality analysis model, AI, and anti-shake image capture technology to evaluate skin quality within 10 seconds. It weighs less than 400 grams (14 ounces) and allows the user to operate the device with one hand. Used for medical purposes, this innovation provides useful scientific evidence for product development in the cosmetics industry, reducing the number of animals used in experiments while reducing time to market. The device combines an optomechanical electronics controller with an image processor to provide a 3D optical student examination using a wideband near-infrared light source. It features high resolution (several microns), fast scan rates, and a user-friendly design. Skin quality is determined by analyzing important parameters such as dermis thickness, epidermis thickness, collagen density, pore size, and number of blood vessels.

The handheld ultrasound system allows healthcare professionals to perform ultrasound examinations anytime, anywhere, saving significant time in emergency and intensive care. Includes a lightweight and portable scanner and mobile application. The 64-channel system supports mutable transducers (linear 7.5MHz / convex 3.5MHz) and can process B-mode and color Doppler-mode images. In the future, deep learning techniques can be integrated to perform quantitative analysis for the diagnosis of liver disease.

Lumbar X-ray imaging techniques combine deep learning with image processing algorithms to reduce the time and effort of lumbar X-ray interpretation. The system provides real-time measurements of pelvic incidence (PI) and lumbar lordosis (LL), as well as unusual findings such as spondylolisthesis. It also assists in surgical planning and provides accurate calculations of surgical implants for clinical diagnosis. The system uses AI to perform X-ray imaging simulations, enabling prediction of postoperative PI and LL values ​​for clinical and adjunct analysis.

AI decision-making assistive technology for fundus imaging in diabetes is the first to enable early detection and timely treatment of diabetic retinopathy (DR) by classifying and identifying lesions and determining the severity of DR. AI technology. Identify four major DR lesions, including microaneurysms, bleeding, soft exudate, and hard exudate, and test results in five stages of DR (no DR, mild, moderate, severe nonproliferative DR, or It is classified as one of proliferative DR). .. It uses AI to provide binary decision support for ophthalmologist referrals and optimal treatment timing for Clinical Significant Macular Edema (CSME).

ITRI’s e-health monitoring and testing technology will begin at CES 2021 in the United States. ITRI ​​is exploring technology transfer opportunities for In-Sleep Target Memory Consolidation Technology, Handheld Ultrasound System, and Fundus Image Diabetes Mellitus AI decision support technology. Interested partners can contact ITRI staff at https://event.itri.org/en/home/contactus.

ITRI’s CES2021 online press kit is available here: https: //ces.vporoom.com/ITRI.In-Sleep Target Memory Consolidation Technology images, fact sheets, and videos are available here. Images, fact sheets, and handheld skin quality optical coherence tomography videos are available here.

About ITRI The Industrial Technology Research Institute (ITRI) is one of the world’s leading technology research and development institutions aimed at innovating a better future for society. Founded in 1973, ITRI has played a key role in transforming Taiwan’s industry from labor-intensive to innovation-driven. To address market needs and global trends, we have launched a technology strategy and roadmap for 2030, focusing on the development of innovations in smart living, quality health and a sustainable environment. We are also working to enhance the technologies that enable intelligentization to support diversified applications.

For many years, ITRI has been working on fostering startups and spin-offs, including well-known names such as UMC and TSMC. In addition to being headquartered in Taiwan, ITRI has offices in the United States, Europe, and Japan to expand the scope of research and development and promote international cooperation around the world. For more information, please visit https://www.itri.org/eng.

Source Industrial Technology Research Institute (ITRI)

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