Real Time Apnoea Monitoring of Children Using the Microsoft Kinect Sensor: A Pilot Study

Abstract

Abstract:The objective of this study was to design a non-invasive system for the observation of respiratory rates and detection of apnoea using analysis of real time image sequences captured in any given sleep position and under any light conditions (even in dark environments). A Microsoft Kinect sensor was used to visualize the variations in the thorax and abdomen from the respiratory rhythm. These variations were magnified, analyzed and detected at a distance of 2.5 m from the subject. A modified motion magnification system and frame subtraction technique were used to identify breathing movements by detecting rapid motion areas in the magnified frame sequences. The experimental results on a set of video data from five subjects (3 h for each subject) showed that our monitoring system can accurately measure respiratory rate and therefore detect apnoea in infants and young children. The proposed system is feasible, accurate, safe and low computational complexity, making it an efficient alternative for non-contact home sleep monitoring systems and advancing health care applications.

Continuous respiratory rate monitoring during an acute hypoxic challenge using a depth sensing camera

“…During the tests, which lasted only 40 s per acquisition, the subjects were asked to maintain 'regular respiratory activity'. In a study of young children (between 1 and 5 years) Al-Naji et al [19] found excellent agreement between depth-sensing RR and a piezo-belt reference with correlation coefficients ranging from 0.97 to 0.99 depending on whether bed sheets were used and the background lighting levels. The study was, however, limited to five healthy volunteers in relatively benign conditions.…”

Remote Monitoring of Vital Signs in Diverse Non-Clinical and Clinical Scenarios Using Computer Vision Systems: A Review

“…They have only considered a single vital sign, i.e., RR and a single infant, which limits the real applicability of the system. In [63], a contactless real time monitoring system was introduced for measuring respiratory rates and detecting apnoea by exploiting a Microsoft Kinect v2 sensor, as presented in Figure 3c, from the movement of thorax and abdomen in different sleeping positions and various conditions of light including dark environments. They used an improved motion magnification scheme based on the Lanczos resampling method, wavelet pyramid decomposition, temporal band pass filtering and image denoising to magnify the input signal.…”

Remote patient monitoring: a comprehensive study

“…Camera based children monitoring in hospital environments is given in Al-Naji et al (2017). It measures respiration rates and detects apnoea based on Kinect camera.…”