Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/51488

High Accuracy Non-Contact Measurement Techniques for Torso Displacement and Its Application

File Description Size Format  
2016-08-phd-gao_r.pdf Version for non-UH users. Copying/Printing is not permitted 7.07 MB Adobe PDF View/Open
2016-08-phd-gao_uh.pdf For UH users only 7.38 MB Adobe PDF View/Open

Item Summary

Title:High Accuracy Non-Contact Measurement Techniques for Torso Displacement and Its Application
Authors:Gao, Xiaomeng
Date Issued:Aug 2016
Publisher:[Honolulu] : [University of Hawaii at Manoa], [August 2016]
Abstract:Continuous-wave microwave Doppler radar has been used extensively in physiological monitoring, for wireless detection of respiration rate and heart rate, arterial pulse wave, respiratory tidal volume, sleep apnea, and fall detection. By taking the advantage of its non-contact and non- invasive features, physiological parameters can be assessed without obstructing the integrity of patient’s physiological activities as well as providing a continuous vital sign monitoring for event diagnosis. While physiological rates can be accurately estimated using various radar architectures and demodulation methods, a higher precision instrumentation is needed for accurate physiological waveform tracking and torso displacement estimation that may provide stroke volume and pulse pressure information.
In this dissertation, high accuracy displacement estimation techniques were investigated. The goal is to obtain feasible methods in accurately estimation of torso displacement for applying to associated physiological parameters measurement such as stroke volume and pulse pressure. The challenges lie in limitation of accuracy in full signal reconstruction due to Quadrature channel imbalance and limited phase information associated with millimeter-order physiological displacements. To increase chest wall displacement estimation accuracy without compromising the computational complexity for higher precision cardiopulmonary activities reconstruction, quantitative analysis on the center estimation method used for non-linear demodulation of quadrature Doppler radar was presented. To address the issue, techniques that calibrate quadrature Doppler radar outputs for more accurate full waveform recovery and displacement estimation were proposed. Additional contribution of this dissertation presented a preliminary study on the mapping of chest wall mechanics due to respiratory effort. Using a set of infrared camera tracking system, an average respiratory angle was estimated from 20 subjects. This angle was further applied to compensate the probing angle of quadrature Doppler radar antenna in order to increase detection sensitivity. Last but not least, the quadrature Doppler radar was used for sensing hand gestures with novel barcode feature. In total eight non-identical gestures were measured and represented in a barcoded plot featuring distinctive differences.
Future work covers a variety of topics, including Doppler radar vital sign sensing sensitivity enhancement by probing angle compensation, self-corrected high accuracy torso displacement estimation, and hand gesture classification by barcoded Doppler radar signal features and its recognition.
Description:Ph.D. University of Hawaii at Manoa 2016.
Includes bibliographical references.
URI/DOI:http://hdl.handle.net/10125/51488
Appears in Collections: Ph.D. - Electrical Engineering


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.