Measurement system based on RBG camera signal for contactless breathing pattern and respiratory rate monitoring

Vital signs monitoring is pivotal in clinical environments and emerging in home-based healthcare applications. Different kind of sensors can be used to monitor the breathing pattern and the respiratory rate. However, respiration rate remains the least measured vital sign in several scenarios, due to the intrusiveness of the sensors usually adopted. In this paper, we propose a measuring system for the low-cost and contactless analysis of respiration. The system analyses a video recorded by commercial RGB camera and extracts respiratory pattern from the changes in the intensity of the light reflected back at the level of the upper chest. Then it allows estimating breath-by-breath respiratory rate from such pattern. The proposed system was tested on six healthy volunteers seated in front of the camera, with both slim-fit and loose-fit clothes. Results show promising performances for the non-intrusive monitoring of both breathing pattern and breath-by-breath respiratory rate over time. Future developments will be devoted to investigating the feasibility of the proposed measurement system for long-term observation of respiratory parameters, for subject monitoring at home or during clinical examinations (i.e., MR imaging).

[1]  J H Auchincloss,et al.  Changes in tidal volume, frequency, and ventilation induced by their measurement. , 1972, Journal of applied physiology.

[2]  Lorenzo Scalise,et al.  Non contact measurement of heart and respiration rates based on Kinect™ , 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[3]  Sang-Heon Lee,et al.  Real Time Apnoea Monitoring of Children Using the Microsoft Kinect Sensor: A Pilot Study , 2017, Sensors.

[4]  R. Saatchi,et al.  Respiration rate monitoring methods: A review , 2011, Pediatric pulmonology.

[5]  T Tamura,et al.  Development of real-time image sequence analysis for evaluating posture change and respiratory rate of a subject in bed , 2001, Physiological measurement.

[6]  Ki H. Chon,et al.  Tidal Volume and Instantaneous Respiration Rate Estimation using a Volumetric Surrogate Signal Acquired via a Smartphone Camera , 2017, IEEE Journal of Biomedical and Health Informatics.

[7]  B. Hök,et al.  Critical review of non-invasive respiratory monitoring in medical care , 2003, Medical and Biological Engineering and Computing.

[8]  Emiliano Schena,et al.  Smart Textile Based on 12 Fiber Bragg Gratings Array for Vital Signs Monitoring , 2017, IEEE Sensors Journal.

[9]  Kazuki Nakajima,et al.  A method for measuring respiration and physical activity in bed by optical flow analysis , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[10]  Sergio Silvestri,et al.  Optoelectronic Plethysmography in Clinical Practice and Research: A Review , 2017, Respiration.

[11]  Emiliano Schena,et al.  Design and Feasibility Assessment of a Magnetic Resonance-Compatible Smart Textile Based on Fiber Bragg Grating Sensors for Respiratory Monitoring , 2016, IEEE Sensors Journal.

[12]  L. Masotti,et al.  Respiratory rate assessments using a dual-accelerometer device , 2014, Respiratory Physiology & Neurobiology.

[13]  Joachim Hornegger,et al.  Robust real-time 3D respiratory motion detection using time-of-flight cameras , 2008, International Journal of Computer Assisted Radiology and Surgery.

[14]  Emiliano Schena,et al.  Smart textile for respiratory monitoring and thoraco‐abdominal motion pattern evaluation , 2018, Journal of biophotonics.

[15]  Z. Yaniv,et al.  Monitoring Patient Respiration using a Single Optical Camera , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  A. Cheng,et al.  Respiratory rate: the neglected vital sign , 2008, The Medical journal of Australia.

[17]  Walter Karlen,et al.  Multiparameter Respiratory Rate Estimation From the Photoplethysmogram , 2013, IEEE Transactions on Biomedical Engineering.

[18]  W H Konarzewski Raised respiratory rate in elderly patients: a valuable physical sign , 1982 .

[19]  E. P. Tomasini,et al.  An optical measurement method for the simultaneous assessment of respiration and heart rates in preterm infants. , 2013, The Review of scientific instruments.

[20]  Digna M. González-Otero,et al.  Monitoring respiratory rate with capnography during cardiopulmonary resuscitation , 2014 .

[21]  Douglas G. Altman,et al.  Measurement in Medicine: The Analysis of Method Comparison Studies , 1983 .

[22]  Frank H Wilhelm,et al.  Reliability of respiratory tidal volume estimation by means of ambulatory inductive plethysmography. , 2006, Biomedical sciences instrumentation.

[23]  Daniel McDuff,et al.  Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam , 2011, IEEE Transactions on Biomedical Engineering.

[24]  D. Wakefield,et al.  Respiratory rate predicts cardiopulmonary arrest for internal medicine inpatients , 1993, Journal of General Internal Medicine.