Spatiotemporal chest wall movement analysis using depth sensor imaging for detecting respiratory asynchrony

Spatiotemporal chest wall movement analysis using depth sensor imaging for detecting respiratory asynchrony

Background and objective: This study aimed to enhance point-of-care pulmonary function tests by developing a novel method for the spatiotemporal analysis of chest wall movements using a sequence of depth sensor images. Methods: The proposed method employs singular value decomposition (SVD) to extrac...

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Bibliographic Details
Main Authors: Masaru Mitsuya, Hiroki Nishine, Hiroshi Handa, Masamichi Mineshita, Masaki Kurosawa, Tetsuo Kirimoto, Shohei Sato, Takemi Matsui, Guanghao Sun
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Point-of-care
Spatiotemporal analysis
Singular value decomposition
Noninvasive
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000073
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