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Paper Abstract and Keywords
Presentation 2022-01-22 16:25
Reconstructing dynamical system from marked point processes and its application to real world data
Kazuya Sawada, Nina Sviridova (TUS), Yutaka Shimada (Saitama Univ.), Tour Ikeguchi (TUS) NLP2021-116 MICT2021-91 MBE2021-77
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we applied the method of reconstructing dynamical system for the marked point process
to the human photoplethysmogram (PPG) measured from a finger. In particular, we generated a marked point process by extracting the maxima or maxima and minima of the photoplethysmographic pulse wave time series. Then, we reconstruct an attractor from the time series of inter-event interval and marked value of the generated marked point process, or only from the time series of inter-event interval and marked value, and compared with the attractor reconstructed from measured PPG time series. As a result, it was qualitatively confirmed that the recurrence structure of the attractor reconstructed from the original PPG time series was retained in the attractor reconstructed from the marked point process. However, no clear trends were found in the similarity between the inter-point distance distributions of the six attractors reconstructed from the marked point process and those reconstructed from the original time series evaluated by the JS divergence between the inter-point distance distributions on the attractor reconstructed from the original PPG data and attractors reconstructed from the marked point processes.
Keyword (in Japanese) (See Japanese page) 
(in English) Reconstructing dynamical system / embedding / delay-coordinate system / marked point process / inter-point distance distribution / Jensen-Shannon divergence / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 335, NLP2021-116, pp. 209-212, Jan. 2022.
Paper # NLP2021-116 
Date of Issue 2022-01-14 (NLP, MICT, MBE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
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 NLP2021-116 MICT2021-91 MBE2021-77

Conference Information
Committee NLP MICT MBE NC  
Conference Date 2022-01-21 - 2022-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2022-01-NLP-MICT-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reconstructing dynamical system from marked point processes and its application to real world data 
Sub Title (in English)  
Keyword(1) Reconstructing dynamical system  
Keyword(2) embedding  
Keyword(3) delay-coordinate system  
Keyword(4) marked point process  
Keyword(5) inter-point distance distribution  
Keyword(6) Jensen-Shannon divergence  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuya Sawada  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Nina Sviridova  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Yutaka Shimada  
3rd Author's Affiliation Saitama University (Saitama Univ.)
4th Author's Name Tour Ikeguchi  
4th Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2022-01-22 16:25:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2021-116, MICT2021-91, MBE2021-77 
Volume (vol) vol.121 
Number (no) no.335(NLP), no.336(MICT), no.337(MBE) 
Page pp.209-212 
#Pages 4 
Date of Issue 2022-01-14 (NLP, MICT, MBE) 

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