Noncontact Vital Sign Monitoring System with Dual Infrared Imaging for Discriminating Respiration Mode

IF 0.8 Q4 ENGINEERING, BIOMEDICAL
K. Nakagawa, Y. Sankai
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引用次数: 1

Abstract

Oral respiration causes constriction of the upper airway in the retropalatal and retroglossal regions, thereby increasing the risk of sleep disorder. One of the best methods to detect early signs of obstructive sleep apnea syndrome (OSAS) is daily monitoring of the respiration rate and mode of respiration during sleep. The vital signs are measured by a noncontact method in order to avoid burdening the subject and to allow differentiation between the various respiratory modes. In this study, we developed a system to measure the respiration rate and mode using farand near-infrared cameras, and assessed the effectiveness of the proposed system and algorithm. A near-infrared camera detected the positions of the nostril and mouth, which are the pathways of expired and inspired air, respectively; while the far-infrared camera measured temperature changes in the nostril and mouth to derive the respiration rate and mode for detecting apnea. We enrolled 10 participants and measured their respiration rates using the aforementioned system under three states: nasal respiration, oral respiration, and apnea. The root-mean-square error for the respiration rate was 0.27 bpm, indicating that the system measured respiration without error in 92% of the trials. There was no error in discriminating between nasal and oral respiration. Additionally, this system detected apnea quite satisfactorily. The results of the experiment con rm that the system we developed effectively measures respiration in a noncontact manner.
非接触式双红外成像呼吸模式判别生命体征监测系统
口腔呼吸导致腭后和舌后区域的上呼吸道收缩,从而增加睡眠障碍的风险。检测阻塞性睡眠呼吸暂停综合征(OSAS)早期症状的最佳方法之一是每天监测睡眠期间的呼吸速率和呼吸方式。生命体征通过非接触方法测量,以避免受试者负担,并允许区分各种呼吸模式。在这项研究中,我们开发了一个系统来测量呼吸速率和模式使用远红外和近红外相机,并评估了所提出的系统和算法的有效性。近红外摄像机检测到鼻孔和嘴巴的位置,它们分别是呼气和吸气的通道;而远红外摄像机则通过测量鼻孔和口腔的温度变化,得出呼吸速率和模式,用于检测呼吸暂停。我们招募了10名参与者,并使用上述系统测量了他们在三种状态下的呼吸率:鼻呼吸、口腔呼吸和呼吸暂停。呼吸速率的均方根误差为0.27 bpm,表明系统在92%的试验中测量呼吸没有误差。在区分鼻呼吸和口呼吸方面没有错误。此外,该系统检测呼吸暂停相当令人满意。实验结果表明,我们开发的系统可以有效地以非接触的方式测量呼吸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced Biomedical Engineering
Advanced Biomedical Engineering ENGINEERING, BIOMEDICAL-
CiteScore
1.40
自引率
10.00%
发文量
15
审稿时长
15 weeks
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