Literature DB >> 23366401

Noncontact respiratory measurement of volume change using depth camera.

Meng-Chieh Yu1, Jia-Ling Liou, Shuenn-Wen Kuo, Ming-Sui Lee, Yi-Ping Hung.   

Abstract

In this study, a system is developed to measure human chest wall motion for respiratory volume estimation without any physical contact. Based on depth image sensing technique, respiratory volume is estimated by measuring morphological changes of the chest wall. We evaluated the system and compared with a standard reference device, and the results show strong agreement in respiratory volume measurement [correlation coefficient: r=0.966]. The isovolume test presents small variations of the total respiratory volume during the isovolume maneuver (standard deviation<107 ml). Then, a regional pulmonary measurement test is evaluated by a patient, and the results show visibly difference of pulmonary functional between the diseased and the contralateral sides of the thorax after the thoracotomy. This study has big potential for personal health care and preventive medicine as it provides a novel, low-cost, and convenient way to measure user's respiration volume.

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Mesh:

Year:  2012        PMID: 23366401     DOI: 10.1109/EMBC.2012.6346440

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

1.  Level-Set Segmentation-Based Respiratory Volume Estimation Using a Depth Camera.

Authors:  KyeongTaek Oh; Cheung Soo Shin; Jeongmin Kim; Sun K Yoo
Journal:  IEEE J Biomed Health Inform       Date:  2018-09-17       Impact factor: 5.772

Review 2.  Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration.

Authors:  Haythem Rehouma; Rita Noumeir; Sandrine Essouri; Philippe Jouvet
Journal:  Sensors (Basel)       Date:  2020-12-17       Impact factor: 3.576

3.  Simultaneous Tracking of Cardiorespiratory Signals for Multiple Persons Using a Machine Vision System With Noise Artifact Removal.

Authors:  Ali Al-Naji; Javaan Chahl
Journal:  IEEE J Transl Eng Health Med       Date:  2017-09-29       Impact factor: 3.316

4.  Contactless Monitoring of Breathing Pattern and Thoracoabdominal Asynchronies in Preterm Infants Using Depth Cameras: A Feasibility Study.

Authors:  Valeria Ottaviani; Chiara Veneroni; Raffaele L Dellaca'; Anna Lavizzari; Fabio Mosca; Emanuela Zannin
Journal:  IEEE J Transl Eng Health Med       Date:  2022-03-21

5.  Respiratory rate detection algorithm based on RGB-D camera: theoretical background and experimental results.

Authors:  Flavia Benetazzo; Alessandro Freddi; Andrea Monteriù; Sauro Longhi
Journal:  Healthc Technol Lett       Date:  2014-09-29

6.  Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system.

Authors:  James M Harte; Christopher K Golby; Johanna Acosta; Edward F Nash; Ercihan Kiraci; Mark A Williams; Theodoros N Arvanitis; Babu Naidu
Journal:  Med Biol Eng Comput       Date:  2016-02-13       Impact factor: 2.602

7.  Real-Time External Respiratory Motion Measuring Technique Using an RGB-D Camera and Principal Component Analysis.

Authors:  Udaya Wijenayake; Soon-Yong Park
Journal:  Sensors (Basel)       Date:  2017-08-09       Impact factor: 3.576

Review 8.  Noncontact Respiratory Monitoring Using Depth Sensing Cameras: A Review of Current Literature.

Authors:  Anthony P Addison; Paul S Addison; Philip Smit; Dominique Jacquel; Ulf R Borg
Journal:  Sensors (Basel)       Date:  2021-02-06       Impact factor: 3.576

9.  Earable POCER: Development of a Point-of-Care Ear Sensor for Respiratory Rate Measurement.

Authors:  Kazuhiro Taniguchi; Atsushi Nishikawa
Journal:  Sensors (Basel)       Date:  2018-09-10       Impact factor: 3.576

10.  Measurement of chest wall motion using a motion capture system with the one-pitch phase analysis method.

Authors:  Hiroyuki Tamiya; Akihisa Mitani; Hideaki Isago; Taro Ishimori; Minako Saito; Taisuke Jo; Goh Tanaka; Shintaro Yanagimoto; Takahide Nagase
Journal:  Sci Rep       Date:  2021-11-02       Impact factor: 4.379

  10 in total

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