عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL51981
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Adaptive Predictors for Extracting Physiological Signals in Two Modern Bioinstruments
General Material Designation
[Thesis]
First Statement of Responsibility
Robinson, Brently W.
Subsequent Statement of Responsibility
Saquib, Mohammad
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The University of Texas at Dallas
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
101 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
The University of Texas at Dallas
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
Physiological signals are at the core of understanding, diagnosing, and treating the human body. Those provide valuable insight into the internal function and state of systems within the anatomy. Depending on the system being observed, a physiological signal can either be a source of information or a source of interference. This dissertation first examines physiological hand tremor, the body's response to stress, tiredness, or hunger, as a source of interference during microsurgery. It then examines the electrocardiogram (ECG), a source of vital information about the condition of the heart, when corrupted by broadband interference. Examination of these two physiological signals, obtained by bioinstruments, leads us to develop novel real-time adaptive predictors. Based on Kalman adaptation principle, an adaptive predictor is developed for removing physiological hand tremor and a scalable, cascaded predictor is designed for removing broadband interference from the ECG. Due to the real-time requirement of bioinstruments, this dissertation addresses the issues with implementing adaptive algorithms in fixed-point representation. A proposed modified binary floating-point format is presented and is shown to overcome the prior known issues associated with fixed-point implementations and demonstrated for removal of physiological hand tremor.
UNCONTROLLED SUBJECT TERMS
Subject Term
Biomedical engineering
Subject Term
Electrical engineering
PERSONAL NAME - PRIMARY RESPONSIBILITY
Robinson, Brently W.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Saquib, Mohammad
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
The University of Texas at Dallas
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
