Talks：
Exploring the potential of machine learning in sleep medicine
Name：
嚴成文(Chen-Wen Yen)
Position：
Professor
Affiliation：
Deptartment of Mechanical and Electro-Mechanical Engineering, National Sun Yat-Sen Univeristy
Department of Physical Therapy, Kaohsiung Medical University
Email：
cmurobot@gmail.com
Photo：
Research Interests：
Mechatronics in Medicine, 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.
◆ Lin NH, Hsu CY, Luo Y, Nagurka ML, Sung JL, Hong CY, Yen CW, “Detecting rapid eye movement sleep using a single EEG signal channel,” Expert Systems with Applications, 2017, Vol. 87, 220-227.
◆ Wu MN, Lai CL, Liu CK, Yen CW, Liou LM, Hsieh CF, Tsai MJ, Chen SC, Hsu CY, “Basal sympathetic predominance in periodic limb movements in sleep after continuous positive airway pressure,” Sleep Breath. 2018.
Abstract：
This report tries to discuss the potential of machine learning in sleep medicine. Our topics include:
◆ Briefly review the fundamental principles of machine learning.
◆ Highlight the necessary elements for applying machine learning methods to sleep medicine problems. These includes data acquisition, signal processing and sensor functionally.
◆ Present a number of possible models that employ machine learning methods to study sleep medicine problems.
◆ By illustrating the insufficiency of machine learning methods, this report will also address the possible interaction patterns between medical specialists and artificial intelligence methods such as machine learning.