The award ceremony of the 17th National Innovation Awards was held by Research Center for Biotechnology and Medicine Policy on the 1st. Professor Bor-Shyh Lin from the Imaging and Biomedical Photonics, National Chiao Tung University, and the research team of the Chi Mei Medical Center jointly won multiple National Innovation Awards in the Clinical Research category for their projects “smart monitoring and evaluation system for postoperative recovery of bowel function” and “smart brain oxygenation monitoring headset for estimating cardiovascular disease severity.”
Three technologies, namely noncontact electrocardiography smart clothing, a wireless monitoring system for oral feeding coordination of preterm infants, and an instant infrared detection device to distinguish fever from Kawasaki disease, were also endowed with the National Innovation Awards in the Clinical Research category once again this year.
Bowel sounds are a crucial parameter for clinicians to evaluate bowel function. The characteristics of bowel sounds serve as a basis for evaluating the recovery of bowel function after surgery with anesthesia. Using a conventional stethoscope to listen to bowel sounds allows for only fragmentary and subjective judgment on bowel function, and it is labor and time intensive. The smart monitoring and evaluation system for the postoperative recovery of bowel function can wirelessly capture bowel sounds and suppress ambient noise through specific algorithms. Adequate signal quality can be obtained even in the noisy environment of a recovery room. Analyzing the characteristics of bowel sounds through automatic capture with artificial intelligence yields diverse bowel sound parameters, enabling the effective and objective evaluation of postoperative bowel recovery and helping medical staff to evaluate and satisfy needs for early therapeutic intervention.
Stroke is caused by blood flow problems in the brain that often cause severe damage to a patient’s movement and cognition. Clinically, the effects of stroke rehabilitation can be evaluated only indirectly through the patient’s movements or subjectively through questionnaires. The smart brain oxygenation monitoring headset uses biomedical and photoelectric technology to noninvasively continuously monitor cerebral blood perfusion. By using various indicators of changes in cerebral blood flow during rehabilitation exercises in combination with deep learning, medical staff are aided in objectively evaluating the effects of patient rehabilitation. These indicators serve as a crucial reference basis for clinicians’ diagnoses, followed by appropriate intervention and adjustment of rehabilitation programs.
Professor Lin has devoted himself to researching the miniaturization of electronic noninvasive medical systems and biomedical signal and image processing for many years, and he has won many National Innovation Awards through collaboration with various medical center teams. Currently, many companies are interested in related research and highly motivated to invest. Professor Lin plans to conduct active product verification in the near future to launch the products as soon as possible, thereby benefiting patients.