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Paper Abstract and Keywords
Presentation 2017-08-10 10:25
Predicting Intracranial Pressure through a Noninvasive Method
Kenji Furihata, Tetsuya Goto, Kazuhiro Hongo (Shinshu Univ.), Norio Koike (Ichikawa Ltd.) EA2017-35
Abstract (in Japanese) (See Japanese page) 
(in English) In the previous paper, as the result of our own discrimination analysis: (a) the presence of a critical intracranial pressure (ICP) value has become clear, the critical ICP is 55 cmH2O. (b) The percentage of correct answers whether is higher than the critical value or lower is 100 %. This paper investigated whether ICP can be assessed by the 25 factors selected as independent variables of the external auditory canal pressure (EACP) pulse waves. The nonlinear data modeling to discover complex relationships was analyzed by IBM SPSS neural networks (the multilayer perceptron: MLP). Above the critical ICP value, because of the small number (3) of patients, the result of the MLP with predictor categories that were present in the training set of data is that (c) the standard error of the estimate is 1.3 cmH2O in the range from 55.1 to 101.6 cmH2O. The critical ICP value or below, because of the number of patients is 37, the MLP was analyzed with the others predictor categories that were not present in the training set of a patient. The results show that (d) the standard error of the estimate is 3.0 cmH2O in the range from 0.95 to 30 cmH2O, and (e) it is 4.3 cmH2O in the range from 30.1 to 55 cmH2O.
Keyword (in Japanese) (See Japanese page) 
(in English) Intracranial Pressure / External Auditory Canal Pressure Sensor / Pulse Amplitude Factors / Pulse Spectrum Factors / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 170, EA2017-35, pp. 47-54, Aug. 2017.
Paper # EA2017-35 
Date of Issue 2017-08-02 (EA) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2017-35

Conference Information
Committee EA ASJ-H  
Conference Date 2017-08-09 - 2017-08-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ., R. I. E. C. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ultra-Realistic Acoustics, Engineering/Electro Acoustics, Psychological and Physiological Acoustics, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2017-08-EA-H 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predicting Intracranial Pressure through a Noninvasive Method 
Sub Title (in English)  
Keyword(1) Intracranial Pressure  
Keyword(2) External Auditory Canal Pressure Sensor  
Keyword(3) Pulse Amplitude Factors  
Keyword(4) Pulse Spectrum Factors  
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1st Author's Name Kenji Furihata  
1st Author's Affiliation Shinshu University (Shinshu Univ.)
2nd Author's Name Tetsuya Goto  
2nd Author's Affiliation Shinshu University (Shinshu Univ.)
3rd Author's Name Kazuhiro Hongo  
3rd Author's Affiliation Shinshu University (Shinshu Univ.)
4th Author's Name Norio Koike  
4th Author's Affiliation Ichikawa Electric Co. Ltd. (Ichikawa Ltd.)
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Speaker Author-1 
Date Time 2017-08-10 10:25:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2017-35 
Volume (vol) vol.117 
Number (no) no.170 
Page pp.47-54 
#Pages
Date of Issue 2017-08-02 (EA) 


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