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An Unobtrusive and Non-Contact Method for Respiratory Measurement With Respiratory Region Detecting Algorithm Based on Depth Images

机译：基于深度图像的呼吸区检测算法存在不引声和非接触方法

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Chenglu Sun; Wei Li; Chen Chen; Zeyu Wang; Wei Chen;
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1. Non-contact, synchronous dynamic measurement of respiratory rate and heart rate based on dual sensitive regions [J] . Bing Wei, Xuan He, Chao Zhang, BioMedical Engineering OnLine . 2017,第1期

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2. Availability and performance of image-based, non-contact methods of monitoring heart rate, blood pressure, respiratory rate, and oxygen saturation: a systematic review [J] . M Harford, J Catherall, S Gerry, Physiological measurement . 2019,第6期

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3. A Cell Viability Evaluation Method Based on Respiratory Thermodynamic Feature Detected by Microscopic Infrared Thermal Imaging Sensor [J] . Nature reviews Cancer . 2020,第2期

机译：基于微观红外热成像传感器检测的基于呼吸热力学特征的细胞活力评估方法
4. NON-CONTACT MEASUREMENT OF RESPIRATORY FUNCTION FOR JUDGING THE EFFECT OF RESPIRATORY REHABILITATION IN PATIENTS WITH SMID [C] . Remi Kosumi, Ryota Sakamoto, Norihiko Kato, ASME International Mechanical Engineering Congress and Exposition . 2020

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5. A Millimeter-Wave Radar and Kinect(TM) Depth Camera for Non-Contact Respiratory Sensing. [D] . Loblaw, Andrew Spencer. 2013

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6. Non-contact synchronous dynamic measurement of respiratory rate and heart rate based on dual sensitive regions [O] . Bing Wei, Xuan He, Chao Zhang, 2017

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7. Non-Contact Infrared-Depth Camera-Based Method for Respiratory Rhythm Measurement While Driving [O] . Marc Mateu-Mateus, Federico Guede-Fernandez, Miguel A. Garcia-Gonzalez, 2019

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8. Development of Forced Ransom Noise System for the Measurement of Respiratory Impedance. Part 1: Design and Analysis of a Respiratory Measurement System Employing Forced Random Noise. Part 2: Cotton-Induced Bronchoconstriction Detected By a Forced Random Noise Oscillator [R] . Viola, J. O. , Hankinson, J. L. , Sepulveda, M. J. , 1983

机译：强迫赎罪噪声系统测量呼吸阻抗的研究进展。第1部分：采用强迫随机噪声的呼吸测量系统的设计和分析。第2部分：强迫随机噪声振荡器检测棉花诱发的支气管收缩

An Unobtrusive and Non-Contact Method for Respiratory Measurement With Respiratory Region Detecting Algorithm Based on Depth Images

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