Applications of biological features for medical diagnostic problems-taking oxyhemoglobin and fingerprints as examples

• Main Authors: Chen-liang Lin, 林楨喨
• Other Authors: Chen-Wen Yen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/d522qy

博士 === 國立中山大學 === 機械與機電工程學系研究所 === 96 === The physiological signals of human are very important for the diagnosis of diseases. There are two different applications of physiological signals in this study. One is using oxyhemoglobin saturation to diagnose the obstructive sleep apnea hypopnea syndrome (OSAS); the other is to determine the association between dermatoglyphics and schizophrenia by using fingerprint asymmetry measures. The objective of the first part is to comprehensively evaluate the capablity and reliability of the previously proposed oxyhemoglobin indices derived automatically for predicting the severity of OSAS. Patients with a diagnosis of OSAS by standard polysomnography were recruited from China Medical University Hospital Sleep Center. The result revealed that when AHI cutoff value was set to 30/h, ODI achieves 87.8% sensitivity and 96.6% specificity. Another important finding is that, for both apnea and hypopnea, probability of oxyhemoglobin desaturation increases with increases of body mass index (BMI) and neck circumference (NC). Early detection and intervention strategies for schizophrenia are receiving increasingly more attention. Dermatoglyphic patterns have been hypothesized to be indirect measures for early abnormal developmental processes that can lead to later psychiatric disorders such as schizophrenia. However, previous results have been inconsistent in trying to establish the association between dermatoglyphics and schizophrenia. The goal of second part of this work is to try to resolve this problem by borrowing well developed techniques from the field of fingerprint matching. Fingerprint images were acquired digitally from 40 schizophrenic patients and 51 normal individuals. Based on these images, the sample means of the proposed measures consistently identified the patient group as having a higher degree of asymmetry than the control group.