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Paper Abstract and Keywords
Presentation 2021-07-16 13:00
Dynamic Three-Dimensional Measurement of Abdomen Using Moiré Analysis and Its Use for Detection of Abnormal Respiratory Based on Deep Learning
Yuki Mochizuki, Norio Tagawa (Tokyo Metro. Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Currently, paramedics cannot make triage judgments in ambulances during emergency transportation of infants. If this can be done, it will be possible to select an appropriate destination hospital and provide appropriate medical care. In this study, we develop a system to detect abnormal respiratory state by measuring the three-dimensional fluctuation of the patient's abdomen by moiré analysis and inputting the result to deep learning. The performance of this system was evaluated by experiments. Compared with other methods, the robustness to changes in the camera viewpoint was confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) moiré topography / active stereo / deep learning / LSTM / abdomen shape / triage / abnormal respiratory /  
Reference Info. ITE Tech. Rep., vol. 45, no. 18, ME2021-61, pp. 1-4, July 2021.
Paper # ME2021-61 
Date of Issue 2021-07-09 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee ME  
Conference Date 2021-07-16 - 2021-07-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2021-07-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamic Three-Dimensional Measurement of Abdomen Using Moiré Analysis and Its Use for Detection of Abnormal Respiratory Based on Deep Learning 
Sub Title (in English)  
Keyword(1) moiré topography  
Keyword(2) active stereo  
Keyword(3) deep learning  
Keyword(4) LSTM  
Keyword(5) abdomen shape  
Keyword(6) triage  
Keyword(7) abnormal respiratory  
1st Author's Name Yuki Mochizuki  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
2nd Author's Name Norio Tagawa  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
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Date Time 2021-07-16 13:00:00 
Presentation Time 30 minutes 
Registration for ME 
Paper # ME2021-61 
Volume (vol) vol.45 
Number (no) no.18 
Page pp.1-4 
Date of Issue 2021-07-09 (ME) 

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