生物醫學訊號分析與應用(二)
Biomedical Signal Processing and Applications(II)
| 節 | 週二 |
|---|---|
9 17:30–18:20 | 生物醫學訊號分析與應用(二) YL402 2 節連堂 |
A 18:30–19:20 |
* 根據陽明交大上課時間表所列
每位學生藉由親自實驗操作,了解生物醫學訊號的儀器設計及其分析、使用方式。並搭配相關教材與論文選讀,了解目前基礎與臨床研究實際運用狀況。課程中學生輪流上台報告綜論論文或綜合多篇論文,並分析研究方向的重要性。藉由輪流報告及討論方式,使同學們能對此研究議題更有認識及增加研究興趣。By doing experiments personally, every student would understand the instrument design, analyze and operation of biomedical signal. Combining with instrument related articles, students follow up with current application of basic research and clinical one. Each student is required to present a review article or summarize several articles as well as analyze the significance of their research. By presenting reports and discussion during class, it would encourage students to understand on research topic and further gain the interest on research.
以各別研究主題為目標,將背景相關資訊詳細探索及了解,內容包括組織、解剖、生理、神經科學、行為學以及生醫資訊等跨領域常識。學生能在課程中更深入瞭解睡眠以及其相關學術研究的重要性。This course aims at providing individual research themes for students to discover and better understand background knowledge in different fields. Topics covered include histology, anatomy, physiology, neuroscience and behavioral science, biomedicine, which cross fields of common knowledge. The students will be able to understand more about the importance of the sleep academic research.
課中報告 50%(口頭報告) 期末評量 50%(測驗) 課堂表現 加減分5%Midterm Assessment 50%(Presentation) Final Assessment 50%(Presentation) Attendance and Performance ±5%
| 週次 | 主題 |
|---|---|
| 第 1 週 | 基於心率變異率判讀睡眠週期 Distinguish sleep cycle based on heart rate variability |
| 第 2 週 | |
| 第 3 週 | |
| 第 4 週 | 腦波訊號之處理與分析 (I): 從硬體到韌體到軟體 Processing method and analysis of EEG signals (I): From hardware to firmware, and to software |
| 第 5 週 | 腦波訊號之處理與分析 (II): 臨床應用 Processing method and analysis of EEG signals (II): Clinical application |
| 第 6 週 | |
| 第 7 週 | 活動計訊號之偵測與分析(I): 從硬體到韌體到軟體 Activity meter signal detection and analysis (I): From hardware to firmware, and to software |
| 第 8 週 | |
| 第 9 週 | 活動計訊號之偵測與分析(II):臨床應用 Activity meter signal detection and analysis (II): Clinical application |
| 第 10 週 | |
| 第 11 週 | 腦波訊號之處理與分析Processing method and analysis of EEG signals |
| 第 12 週 | |
| 第 13 週 | 睡眠姿勢之判讀與偵測及臨床應用Interpretation and detection of sleep position |
| 第 14 週 | |
| 第 15 週 | 精準醫療解碼睡眠呼吸中止症、心血管及腦血管問題: 心電圖貼片與睡眠內視鏡的AI研究Precision medicine in obstructive sleep apnea, cardiovascular andcerebrovascular disease: Research of artificial intelligence in electrocardiogram patch and DISE |
| 第 16 週 | 人工智慧在睡眠上的應用 The application of artificial intelligence in sleep |
| 第 17 週 | |
| 第 18 週 |
1.楊靜修等編著,《心率變異研究: 從健康養生到疾病診療》 2.Kuo, T. B. J.* The development and application of an analysis system for physiological rhythms. Tzu Chi Medical Journal 13:113-129, 2001郭博昭論文選輯ftp://120.126.40.160/paper 3. Chapman, Electric Machinery Fundamentals 4/E, McGRAW-HILL, 2005