Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion

被引:30
作者
Gaidhani, Apoorva [1 ]
Moon, Kee S. [1 ]
Ozturk, Yusuf [2 ]
Lee, Sung Q. [3 ]
Youm, Woosub [3 ]
机构
[1] San Diego State Univ, Dept Mech Engn, 5500 Campanile Dr, San Diego, CA 92182 USA
[2] San Diego State Univ, Dept Elect & Comp Engn, 5500 Campanile Dr, San Diego, CA 92182 USA
[3] Elect & Telecommun Res Inst, ICT, 218 Gajeong Ro, Daejeon 34129, South Korea
关键词
biomedical signal processing; wearable biomedical sensors; medical equipment; wireless sensor network; E-healthcare;
D O I
10.3390/s17122932
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Respiratory activity is an essential vital sign of life that can indicate changes in typical breathing patterns and irregular body functions such as asthma and panic attacks. Many times, there is a need to monitor breathing activity while performing day-to-day functions such as standing, bending, trunk stretching or during yoga exercises. A single IMU (inertial measurement unit) can be used in measuring respiratory motion; however, breathing motion data may be influenced by a body trunk movement that occurs while recording respiratory activity. This research employs a pair of wireless, wearable IMU sensors custom-made by the Department of Electrical Engineering at San Diego State University. After appropriate sensor placement for data collection, this research applies principles of robotics, using the Denavit-Hartenberg convention, to extract relative angular motion between the two sensors. One of the obtained relative joint angles in the "Sagittal" plane predominantly yields respiratory activity. An improvised version of the proposed method and wearable, wireless sensors can be suitable to extract respiratory information while performing sports or exercises, as they do not restrict body motion or the choice of location to gather data.
引用
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页数:11
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