Browsing by Author "Hsiao Tzu-Chien"

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Abdominal breathing training apparatus, abdominal breathing training system and method thereof
(2013-06-25)
Hsiao Tzu-Chien
;
Hsu Ru-Shin
;
Hsieh Dai-Ling
An abdominal breathing training apparatus, an abdominal breathing training system and the method thereof are provided. The abdominal breathing training apparatus is adapted for training a trainee how to perform an abdominal breathing and includes a trainer unit, a sensor unit, a data acquisition and conversion unit and a display unit. The trainer unit generates training waveforms and indications. The sensor unit directly measures abdominal movement signals from the trainee, and is positioned adjacent to the abdominal portion of the trainee. The data acquisition and conversion unit is coupled to the sensor unit and generates a trainee abdominal movement waveform according to the measured abdominal movement signals of the trainee. The display unit is coupled to the trainer unit, and displays the training waveforms and the indications to the trainee, who follows the training waveforms on the display unit to perform the abdominal breathing.
ABDOMINAL BREATHING TRAINING APPARATUS, ABDOMINAL BREATHING TRAINING SYSTEM AND METHOD THEREOF
(2011-08-11)
Hsiao Tzu-Chien
;
Hsu Ru-Shin
;
Hsieh Dai-Ling
An abdominal breathing training apparatus, an abdominal breathing training system and the method thereof are provided. The abdominal breathing training apparatus is adapted for training a trainee how to perform an abdominal breathing and includes a trainer unit, a sensor unit, a data acquisition and conversion unit and a display unit. The trainer unit generates training waveforms and indications. The sensor unit directly measures abdominal movement signals from the trainee, and is positioned adjacent to the abdominal portion of the trainee. The data acquisition and conversion unit is coupled to the sensor unit and generates a trainee abdominal movement waveform according to the measured abdominal movement signals of the trainee. The display unit is coupled to the trainer unit, and displays the training waveforms and the indications to the trainee, who follows the training waveforms on the display unit to perform the abdominal breathing.
Feedback Control Method and Device Using the Same
(2011-11-03)
Chang Chia-Chi
;
Hsiao Tzu-Chien
The present invention provides a method for feedback control and a device using the same, wherein the device comprising a sensing layer for generating a plurality of sensing signals with respect to the at least one kind of characteristics on the sensing layer, and a driving layer for changing the surface status of the sensing layer. The control method is started a step of acquiring the plurality of sensing signals within a first specific time interval and establishing a first prediction model accordingly, then predicting a distribution status with respect to the at least one kind of characteristic on the sending layer at a specific time point according to the first prediction model, and finally, determining whether to change the surface status of the sensing layer according to the distribution status.
Feedback control method and device using the same
(2013-06-25)
Chang Chia-Chi
;
Hsiao Tzu-Chien
The present invention provides a method for feedback control and a device using the same, wherein the device comprising a sensing layer for generating a plurality of sensing signals with respect to the at least one kind of characteristics on the sensing layer, and a driving layer for changing the surface status of the sensing layer. The control method is started a step of acquiring the plurality of sensing signals within a first specific time interval and establishing a first prediction model accordingly, then predicting a distribution status with respect to the at least one kind of characteristic on the sensing layer at a specific time point according to the first prediction model, and finally, determining whether to change the surface status of the sensing layer according to the distribution status.
GreenArmy：綠色微雲伺服系統晶片平台技術---子計畫七：基於綠色微雲伺服系統晶片之 HHT/PRLS 分析法實現醫用時域、頻域與空間域解析技術( III )
(2013)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系（所）
GreenArmy：綠色微雲伺服系統晶片平台技術-子計畫七：基於綠色微雲伺服系統晶片之 HHT/PRLS 分析法實現醫用時域、頻域與空間域解析技術( I )
(2011)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系（所）
配合「智慧電子國家型計劃」，整合型計畫選定適當生醫電子系統當成整合計畫的test vihicle，重點在於生醫應用在伺服系統晶片之晶片化與嵌入式系統化。因此，在此子項計畫中採用腹式呼吸為實施例，開發醫學診斷工具為方向，研究呼吸運動訊號，結合HHT及CW-PLS分析方法進行醫用時間域、頻域與空間域解析技術，探討呼吸運動功能性資訊。同時積極與醫院端臨床醫師合作申請IRB，並要求在臨床監督下方進行人體實驗。第一年度已完成前測實驗(Prior Study)，結合HHT分析方法，定義呼吸特徵；同時開發EMD平行化程式，評估運算效能，與嵌入式微雲伺服器結合作準備；主要研究成果包含：(1)完成IRB兩件、(2)開發LabVIEW版本的HHT演算法、(3)呼吸訊號在時間域(temporal domain)與頻率域(frequency domain)特徵值探討、(4)胸式呼吸與腹式呼吸之關聯性研究、(5)以腹式呼吸為應用實施例、(6)核心函數複雜度分析、(7)完成台灣發明專利申請案一件等。相關學術研究成果已進行國際會議與期刊論文撰寫，預定3/15前完成投稿兩篇。
GreenArmy：綠色微雲伺服系統晶片平台技術-子計畫七：基於綠色微雲伺服系統晶片之 HHT/PRLS 分析法實現醫用時域、頻域與空間域解析技術(2/3)
(2012)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系（所）
METHOD FOR EXTRACTING THE FEATURE OF AN ABDOMINAL BREATHING AND A SYSTEM USING THE SAME
(2013-02-14)
Hsiao Tzu-Chien
;
Hsu Ju-Hsin
A method for extracting the feature of an abdominal breathing is disclosed, capable of extracting the feature of an abdominal breathing, without the requirement of a standard model of an abdominal breathing and the execution of a learning process being executed prior to the method for extracting the feature of an abdominal breathing. By means of computing a plurality of intrinsic mode functions corresponding to the abdominal breathing signal received, an Euler angle function and an instantaneous frequency function of each of the plurality of intrinsic mode functions, and comparing the plurality of instantaneous frequency function with a pre-determined zero-point threshold region, the method for extracting the feature of an abdominal breathing defines one of the plurality of instantaneous frequency function as an abdominal breathing feature function, which contains the feature of the abdominal breathing. In this way, the feature of an abdominal breathing is extracted.
Method for extracting the feature of an abdominal breathing and a system using the same
(2014-09-16)
Hsiao Tzu-Chien
;
Hsu Ju-Hsin
A method for extracting the feature of an abdominal breathing is disclosed, capable of extracting the feature of an abdominal breathing, without the requirement of a standard model of an abdominal breathing and the execution of a learning process being executed prior to the method for extracting the feature of an abdominal breathing. By means of computing a plurality of intrinsic mode functions corresponding to the abdominal breathing signal received, an Euler angle function and an instantaneous frequency function of each of the plurality of intrinsic mode functions, and comparing the plurality of instantaneous frequency function with a pre-determined zero-point threshold region, the method for extracting the feature of an abdominal breathing defines one of the plurality of instantaneous frequency function as an abdominal breathing feature function, which contains the feature of the abdominal breathing. In this way, the feature of an abdominal breathing is extracted.
以生理訊號為基礎之情緒與鍵盤敲擊關聯性之研究
(2014)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系（所）
以認知實驗搭配情感計算為基礎之情緒與生理訊號關聯性之研究
(2009)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系(所)
人工智慧是資訊領域中一大重要主流，資訊及科技人性化、智慧化的趨勢，是國際潮流及國內政策之發展方向，例如智慧生活照護。本計畫將著墨於人工智慧的情感計算領域，探討人類情緒的本質；藉由資訊領域與心理學領域的跨領域研究，從人工智慧與情緒的議題著手，在符合美國 VB 等級的EMI shielding 與隔音實驗室環境下，進行實驗研究，並利用適應性分析法則、以及可抑制噪音之多變數分析法，分析所擷取之生理訊號，探討情緒與生理訊號的關聯性，找出情緒的根本理論，以解決情感計算或人工智慧所面臨的問題，另外，期望能發展出應用平台或系統。本計畫預期成果:(1)電磁波/噪音隔離實驗室與認知實驗之環境架設，(2)探討情緒與生理訊號的關聯性，(3)探討情緒理論。
加值化無線藍芽醫療居家監控系統之整合開發
(2007)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系(所)
動態生醫光電感測之研究---表面電漿共振現象與系統整合探討
(2007)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系(所)
配合國內科技與產業之發展，本計畫延續先前於生醫光電量測技術開發，以及多變數分析應用於生醫光電資訊之研究成果，將針對表面電漿共振生物晶片量測技術，提出近一步的探討與分析。本計畫預期成果有：(1)以多變數分析完成生醫感測訊號定性、定量之分析，(2)以理論驗證與模擬分析的方式深入探討生物分子的動態機制與交互作用，(3)在LabVIEW 環境下建立即時動態生物樣本量測與分析系統，(4)理論研究以及分析系統建構人才的培育。
新型 PRLS_BPN 分析法之開發
(2008)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系(所)
現行多變數分析法則中，混入明顯雜訊時，預估的資料會有outlier 之情形發生，我們將廣泛應用在生物訊號量測的多變數分析方法中的部分最小平方法( Partial Least Squares，簡稱PLS )與一般化( Regularization )的理論做整合，提出一強化分析的新架構部分一般化最小平方法( Partial Regularized Least Squares，簡稱PRLS )並用以改善逆傳式網路(Backpropagation Network，簡稱BPN)的三個主要的缺點: 學習過程收斂速度慢、隱藏層神經元數量之最佳化設定、及學習結果為區域最小誤差等問題。我們提出一新架構的三層式網路PRLS_BPN，利用PLS 在對輸入變數做分解的過程中將最小平方法( Least Squares，簡稱LS )取代為一般化最小平方法( Regularized Least Squares，簡稱RLS )，可在挑選主向量時，避免選取到雜訊進而影響結果並為 BPN 設定初始權重，能有效地縮短學習時間、收斂至一個接近廣域最小的結果、以及獲得最佳化的預測診斷結果。預期此方法之提出，將可改善並強化BPN 計算效能，達到可以即時分析方法的要求。
魚類品質光學即時標準化檢測系統開發研究
(2010)
蕭子健
;
Hsiao Tzu-Chien
;
國立交通大學資訊工程學系（所）
目前台灣在漁產品的鮮度判別上，大多採用官能檢測法進行檢查，若逢疑慮時便對其進行侵入性與破壞性檢測法來進行檢驗。而目前的檢測法與其判定方式在各國法規標準不一的條件下未能有效比對，故許多國家及研究團隊皆開始投入非侵入性魚體鮮度法則之研究。本計畫採用生物體組之與光學互動之特性，亦即是光學取樣-非侵入式量測原理，架構“即時魚類矩陣螢光光譜鮮度檢測儀”，包含光纖系統、光譜儀以及多波段光源，將以多重波段光源個別照射魚體，擷取獨立之光譜資訊，建立矩陣光譜圖。然後採用多維矩陣光譜多變數演算法與傳統檢測法的結果進行比對、驗證以及資料庫訓練，以達到建立“魚類品質光學即時標準化檢測系統”研究開發之目的。希望此系統完成後，不僅可以建構不同魚種的各部位標準組織光譜資料庫、特異性多變數分析演算法、嚴謹的比對標準外，亦可減少漁民因各國不同法規所造成的漁獲損失，亦足以提升台灣漁產品競爭力、打通國際市場脈絡，並對其國際上的品牌形象有長足幫助。