Assessment of respiratory volume is widely used in clinical application in order to assess the case of respiratory illness, and the progression of the respiratory syndrome. Respiratory plethysmography is used to determine the changes of chest volume to monitor the breathing. A wearable respiration measuring system has been introduced for detection of volume variations of chest. The system consists of a flexible sensor, stretchable cloth and electrical board. The flexible sensor, whose electrical voltage is produced by body movements, is installed inside the shirt and closely contacts the chest. The low frequency components of body movements recorded by the sensor are mainly generated by respiration. The system can be used at home and be selfapplied by patients. The main features of this system are: low cost, low weight and applicable for athletics and patients. We have tested the system thirty four times for calibration. The curve equation of the flexible sensor output versus the output of spirometer is presented. Finally, this curve equation can be used to determine the changes of chest volume.
The most prevalent musculoskeletal condition and one of the most disabilities are caused by low back pain. In the low back pain, a large variety of evaluation tools is presented to assess the results of the treatment; therefore, it is important to measure the trunk angle in order to determine the progress during patient's treatment. In this project, we developed a low cost prototype system for flexion-extension movement to measure the angle of the trunk in sagital plane. The system consists of clothing that is stretchable; a Rubbery Ruler sensor (RRs) attached on clothing, data acquisition system. Inertial Magnetic Unit (IMU) sensor installed on spine is used to calibrate the orientation for the output of RRs twenty times. This system was validated by repeated experiments. The curve equation of the RRs output versus the IMU output is presented. Finally, this curve equation can be used to determine the angle of trunk in the clinical applications.
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