رکورد قبلیرکورد بعدی

" BEst (Biomarker Estimation): Health Biomarker Estimation Non-invasively and Ubiquitously "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 1051215
Doc. No : TL50332
Main Entry : Hasan, Md. Kamrul
Title & Author : BEst (Biomarker Estimation): Health Biomarker Estimation Non-invasively and Ubiquitously\ Hasan, Md. KamrulAhamed, Sheikh Iqbal
College : Marquette University
Date : 2019
Degree : Ph.D.
student score : 2019
Note : 129 p.
Abstract : This dissertation focuses on the non-invasive assessment of blood-hemoglobin levels. The primary goal of this research is to investigate a reliable, affordable, and user-friendly point-of-care solution for hemoglobin-level determination using fingertip videos captured by a smartphone. I evaluated videos obtained from five patient groups, three from the United States and two from Bangladesh, under two sets of lighting conditions. In the last group, based on human tissue optical transmission modeling data, I used near-infrared light-emitting diode sources of three wavelengths. I developed novel image processing techniques for fingertip video analysis to estimate hemoglobin levels. I studied video images creating image histogram and subdividing each image into multiple blocks. I determined the region of interest in a video and created photoplethysmogram signals. I created features from image histograms and PPG signals. I used the Partial Least Squares Regression and Support Vector Machine Regression tools to analyze input features and to build hemoglobin prediction models. Using data from the last and largest group of patients studied, I was able to develop a model with a strong linear correlation between estimated and clinically-measured hemoglobin levels. With further data and methodological refinements, the approach I have developed may be able to define a clinically accurate public health applicable tool for hemoglobin level and other blood constituent assessment.
Descriptor : Biomedical engineering
: Computer science
Added Entry : Ahamed, Sheikh Iqbal
Added Entry : Marquette University
کپی لینک

پیشنهاد خرید
پیوستها
عنوان :
نام فایل :
نوع عام محتوا :
نوع ماده :
فرمت :
سایز :
عرض :
طول :
2216577485_464.pdf
2216577485.pdf
پایان نامه لاتین
متن
application/pdf
11.51 MB
85
85
نظرسنجی
نظرسنجی منابع دیجیتال

1 - آیا از کیفیت منابع دیجیتال راضی هستید؟