Breathing Phase And Body Movement Detection From 9 DOF Acceleration Data For Sleep Monitoring

Lai, Guan Mun (2017) Breathing Phase And Body Movement Detection From 9 DOF Acceleration Data For Sleep Monitoring. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (24 Pages) Breathing Phase And Body Movement Detection From 9 DOF Acceleration Data For Sleep Monitoring.pdf - Submitted Version Download (637kB)

Abstract

Getting good and enough sleep is important to stay healthy and energetic.Sleep monitoring is helpful to detect any type of sleep distortion especially when a person feel fatigue every single morning when they are wake up.In order to monitor sleeping breath activity as well as body movement,this project propose an alternative method instead of using high-end sleeping monitoring device which cost a lot.Through MATLAB mobile,the data was collected to be analyze by MATLAB in PC.The 9 DOF data including x-axis,y-axis and z-axis of acceleration data,orientation data and magnetic data was collected through Android smartphone device with embedded sensors. The raw data collected will then undergoes a filtering technique to filter noise data and extract data needed. Peak determine technique will then applied to count the breath count of the filtered data.Experiments was then designed to determine the performance of this method. Experiment 1 give an average of 90.84% while experiment 2 give an average accuracy of 95.69%.

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