國立虎尾科技大學 |

登入

回首頁

基於倒傳遞神經網絡的雙PPG信號連續血壓預測分析與多指標量測平台之研製 ...

蔡承洋

基於倒傳遞神經網絡的雙PPG信號連續血壓預測分析與多指標量測平台之研製 = = The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	基於倒傳遞神經網絡的雙PPG信號連續血壓預測分析與多指標量測平台之研製 =/ 蔡承洋.
其他題名:	The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals /
其他題名:	The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals.
作者:	蔡承洋
出版者:	雲林縣 :國立虎尾科技大學 , : 民109.07.,
面頁冊數:	[9], 72面 :圖, 表 ; : 30公分.;
附註:	指導教授: 顏志達.
標題:	灌流指標. -
電子資源:	電子資源

基於倒傳遞神經網絡的雙PPG信號連續血壓預測分析與多指標量測平台之研製 = = The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals /
蔡承洋

基於倒傳遞神經網絡的雙PPG信號連續血壓預測分析與多指標量測平台之研製 =The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals /The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals.蔡承洋. - 初版. - 雲林縣 :國立虎尾科技大學 ,民109.07. - [9], 72面 :圖, 表 ;30公分.

指導教授: 顏志達.

碩士論文--國立虎尾科技大學電機工程系碩士班.

含參考書目.

(平裝).Subjects--Topical Terms:

1495431
灌流指標.

基於倒傳遞神經網絡的雙PPG信號連續血壓預測分析與多指標量測平台之研製 = = The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals /
LDR:01063cam a2200217 i 4500 001 954948
008 201030s2020 ch ak erm 000 0 chi d
035 $a (THES)108NYPI0441021
040 $a NFU $b chi $c NFU $e CCR
041 0 # $a chi $b chi $b eng
084 $a 008.165M $b 4413:4 109 $2 ncsclt
100 1 $a 蔡承洋 $3 1244845
245 1 0 $a 基於倒傳遞神經網絡的雙PPG信號連續血壓預測分析與多指標量測平台之研製 = $b The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals / $c 蔡承洋.
246 1 1 $a The Backpropagation Neural Network Based Continuous Blood Pressure Prediction Technology and Multi-Parameters Measurement by Dual PPG Signals.
250 $a 初版.
260 # $a 雲林縣 : $b 國立虎尾科技大學 , $c 民109.07.
300 $a [9], 72面 : $b 圖, 表 ; $c 30公分.
500 $a 指導教授: 顏志達.
500 $a 學年度: 108.
502 $a 碩士論文--國立虎尾科技大學電機工程系碩士班.
504 $a 含參考書目.
563 $a (平裝).
650 # 4 $a 灌流指標. $3 1495431
650 # 4 $a 脈搏波分析. $3 1495832
650 # 4 $a 脈波傳遞速度. $3 1495433
650 # 4 $a 脈波傳遞時間. $3 1495432
650 # 4 $a 血壓. $3 1339769
650 # 4 $a 光體積變化描記圖. $3 1151617
650 # 4 $a 心率. $3 1384211
650 # 4 $a 倒傳遞類神經網路. $3 995665
650 # 4 $a 連續非侵入式血壓量測. $3 1495833
650 # 4 $a Heart Rate. $3 1495834
650 # 4 $a Perfusion Index. $3 1495437
650 # 4 $a Pulse Waveform Analysis. $3 1495835
650 # 4 $a Pulse Wave Velocity. $3 1495439
650 # 4 $a Pulse Transmit Time. $3 1495836
650 # 4 $a Blood Pressure. $3 1495440
650 # 4 $a Photoplethysmography. $3 1015625
650 # 4 $a Back-propagation Neural Network. $3 1125844
650 # 4 $a Continuous Non-Invasive Blood Pressure Measurement. $3 1495837
856 7 # $u https://handle.ncl.edu.tw/11296/3u5c55 $z 電子資源 $2 http