Talks：	Searching innovative paths in sleep medicine for high-tech industry
Name：	嚴成文
Position：	Professor
Affiliation：	Deptartment of Mechanical and Electro-Mechanical Engineering, National Sun Yat-Sen University Department of Physical Therapy, Kaoshiung Medical University
Email：	cmurobot@gmail.com
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Research Interests：	Medical mechatronics、physiological signal processing、sleep medicine、machine learning
Selected Publications：	◆Lin CL, Yeh C. Yen CW, Hsu WH and Hang LW, 2009, Comparison of the Indices of Oxyhemoglobin Saturation by Pulse Oximetry in Obstructive Saturation by Pulse Oximetry in Obstructive Sleep Apnea Hypopnea Syndrome,” Chest, Vol. 135, pp. 86-93. ◆Hang LW, Yen CW, Lin CL, 2012, “A Novel Frequency Domain Index of Oxyhemoglobin Saturation by Pulse Oximetry in Obstructive Sleep Apnea Syndrome,” Journal of Medical and Biological Engineering, Vol. 32, pp. 343-348. ◆Su BL, Lu Y, Hong CY, Nagurka ML, Yen CW, 2015, “Detecting Slow Wave Sleep using a Single EEG Signal Channel,“ Journal of Neuroscience Methods, Vol 243, 47-52. ◆Wu MN, Lai CL, Liu CK, Yen CW, Liou LM, Hsieh, CF, Tsa MJ, Chen SC, Hus CY, 2015, “Basal Sympathetic Predominance in Periodic Limb Movements in Sleep with Obstructive Sleep Apnea,” Journal of Sleep Research, Vol. 24, 722-729. ◆Wu MN, Lai CL, Liu CK, Liou LM, Yen CW, Chen SC, Hsieh CF, Hsieh SW, Lin FC, Hus CY, 2015, “More Severe Hypoxemia Is Associated with Better Subjective Sleep Quality in Obstructive Sleep Apnea,” BMC Pulmonary Medicine, Vol. 15, 117. ◆Hong CY, Guo LY, Song R, Nagurka ML, Sung JL, Yen CW, “Assessing postural stability via the correlation patterns of vertical ground reaction force components,” Biomed Eng Online. 2016 Vol. 15, 90.
Abstract：	Compared to open-loop control systems, closed-loop feedback systems can provide higher accuracy, better stability, faster speed and more robustness to uncertainties. As a result, feedback control methods have been extensively employed in industry. In contrast, feedback mechanisms remain to be developed for sleep medicine diagnostic and treatment methods. Based on the framework of feedback control theory, the goal of this report is to discuss the innovative roles that can be played by the high-tech industry for sleep medicine. By formulating maintaining sleep quality as a closed-loop control problem, special attentions will be given to the selection of controlled variables, the development of sensors, the interpretation of feedback signals and the design of control laws. We will also discuss the potential impacts of new technologies such as cloud computing, big data and machine learning on sleep medicine. Finally, we want to address the inappropriateness for high-tech industry to directly adapt the conventional consumer electronic business model to sleep medicine market.