scholarly journals Recognition of pathological voices by Human Factor Cepstral Coefficients (HFCC)

2020 ◽  
Author(s):  
Rabeh Hamdi ◽  
Salah HAJJI ◽  
Adnene Cherif
Keyword(s):  
Early Detection ◽  
Fundamental Frequency ◽  
Sensitivity And Specificity ◽  
Human Factor ◽  
Voice Disorders ◽  
Cepstral Coefficients ◽  
Noise Ratio ◽  
Harmonic Noise ◽  
Harmonic Ratio

Abstract Several tools have been introduced to achieve early detection of voice disorders. Among these tools are the human factor cepstral coefficients HFCC combined with prosodic parameters, the noise-harmonic ratio (NHR), the harmonic-noise ratio (HNR), analysis of trend fluctuations (DFA) and fundamental frequency (F0). These parameters are introduced and calculated in every frame. In this work, we used a variation of HFCC called equivalent rectangular bandwidth (ERB) to study the effects of HFCC on the classification of pathological voices. Using the HTK classifiers, the classification is carried out on two pathological databases, Massachusetts Eye and Ear Infirmary (MEEI) and Saarbruecken Voice Database (SVD). To assess the performance of the system, we used sensitivity and specificity.

Acoustic Correlates of Pathologic Voice Types

1991 ◽  
Vol 34 (3) ◽  
pp. 509-516 ◽  
Author(s):  
Virginia Wolfe ◽  
Richard Cornell ◽  
Chester Palmer
Keyword(s):  
Discriminant Analysis ◽  
Fundamental Frequency ◽  
Acoustic Parameters ◽  
Acoustic Correlates ◽  
Natural Logarithm ◽  
Difference Factor ◽  
Harmonic Noise

Listeners classified 49 samples of vowels /a/ and /i/ on the basis of four voice types: hoarse, breathy, strained, and normal. The vowels were analyzed acoustically for mean harmonic/noise differences in four spectral regions, average fundamental frequency, natural logarithm of fundamental frequency, and jitter. Discriminant analysis showed that classifications of voice type were made with 80% accuracy using three acoustic parameters: (a) mean harmonic/noise difference factor (1–3.5 kHz), (b) natural log of fundamental frequency, and (c) vowel type. The significance of these particular acoustic parameters for the perception and classification of voice types is discussed.

The Application of Laboratory Formulas to Clinical Voice Management

1995 ◽  
Vol 4 (2) ◽  
pp. 62-69 ◽  
Author(s):  
Katherine Verdolini ◽  
Ingo R. Titze
Keyword(s):  
Fundamental Frequency ◽  
Voice Disorders ◽  
Clinical Interventions ◽  
Case Examples ◽  
Interactive Nature ◽  
Mathematical Formulas

In this paper, we discuss the application of mathematical formulas to guide the development of clinical interventions in voice disorders. Discussion of case examples includes fundamental frequency and intensity deviations, pitch and loudness abnormalities, laryngeal hyperand hypoadduction, and phonatory effort. The paper illustrates the interactive nature of theoretical and applied work in vocology

Detector-C: A Blood-based IVD with High Sensitivity and Specificity for Early Detection and Screening of Colorectal Cancer

2010 ◽  
Vol 48 (08) ◽  
Author(s):  
A Rosenthal ◽  
H Köppen ◽  
R Musikowski ◽  
R Schwanitz ◽  
J Behrendt ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Early Detection ◽  
Sensitivity And Specificity ◽  
High Sensitivity

Impact of copeptin, miRNA-499 and miRNA-208 as new biomarkers for early detection of acute coronary syndrome

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S El-Deek ◽  
A.R Meki ◽  
A Hassan ◽  
M Gaber ◽  
O Mohamed
Keyword(s):  
Acute Coronary Syndrome ◽  
Early Detection ◽  
Sensitivity And Specificity ◽  
Cardiac Troponin ◽  
Roc Curve Analysis ◽  
Major Drawback ◽  
Expression Levels ◽  
Positive Correlation ◽  
Coronary Syndrome ◽  
Novel Biomarkers

Abstract Introduction Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity worldwide. Despite being the gold standard biomarkers, cTn and CK-MB have a major drawback as they are less sensitive in the first 3 hours of the onset of symptom. So, there is still a need for novel biomarkers, which can reliably rule in or rule out this disease immediately on admission. Aim of the work To evaluate the role of copeptin, miRNA-499 and miRNA-208 as novel biomarkers for early detection of unstable angina (UA) and non-ST-segment elevation myocardial infarction (NSTEMI) Patients and Methods: A total of 65 patients presenting within 4 h of onset of chest pain suggestive of ACS were enrolled in the study. They included 23 UA, 42 NSTEMI. Also 25 apparently healthy controls were included. Blood samples (first set within the first 3 hours and second set at 6 hours) were taken for estimation of copeptin by ELISA and miRNA-499 and miRNA-208 expression levels by real time PCR. Results Copeptin, miRNA-499 and miRNA-208 expression levels were significantly increased in UA and NSTEMI patients compared to controls (P<0.001 each). Also these biomarkers were significantly increased in NSTEMT compared to UA (P<0.001 each). They also significantly elevated in UA and NSTEMI patient in the first 3 hours who had negative cardiac troponin (p<0.001 each). ROC curve analysis revealed that the area under curve (AUC) for prediction of ACS was 0.96 for copeptin, 0.97 for miRNA-499 and 0.0.97 for miRNA-208. Interestingly, combining copeptin with miRNA-499 and miRNA-210 significantly improved the diagnostic value by increasing the AUC to 0.98, P<0.001. The sensitivity and specificity within the first 3 hours were 90%, 86% for copeptin, 95%, 94% for miRNA-499 and 93%, 98% for miRNA-208. The sensitivity and specificity were 81% and 86% for cardiac troponin within 6 hours. There was a positive correlation between copeptin and miRNA-499 and miRNA-208 (r=0.75, P<0.001 and r=0.76, P<0.001 respectively) Also, there was a positive correlation between these biomarkers and cTn (r=0.7. P<0.001, r=0.64, P<0.001 and r=0.68, P<0.001 respectively). Conclusions Copeptin, miRNA-499 and miRNA-208 expression might be novel biomarkers as they are associated with UA and NSTEMI presented in the first 3 hours of onset of pain. The combination of copeptin and miRNA with cTn accelerate the diagnosis of ACS and avoiding the gray zone of cTn. Copeptin and miRNAs representing a potential aid in early diagnosis as they have different pathogenesis and site of liberation. Funding Acknowledgement Type of funding source: None

scholarly journals An Ensemble Feature Selection Approach to Identify Relevant Features from EEG Signals

2021 ◽  
Vol 11 (15) ◽  
pp. 6983
Author(s):  
Maritza Mera-Gaona ◽  
Diego M. López ◽  
Rubiel Vargas-Canas
Keyword(s):  
Feature Selection ◽  
Sensitivity And Specificity ◽  
Eeg Signals ◽  
Specificity And Sensitivity ◽  
Selection Approach ◽  
Feature Selection Approach ◽  
The Stability ◽  
Selection Algorithms ◽  
Epileptiform Events

Identifying relevant data to support the automatic analysis of electroencephalograms (EEG) has become a challenge. Although there are many proposals to support the diagnosis of neurological pathologies, the current challenge is to improve the reliability of the tools to classify or detect abnormalities. In this study, we used an ensemble feature selection approach to integrate the advantages of several feature selection algorithms to improve the identification of the characteristics with high power of differentiation in the classification of normal and abnormal EEG signals. Discrimination was evaluated using several classifiers, i.e., decision tree, logistic regression, random forest, and Support Vecctor Machine (SVM); furthermore, performance was assessed by accuracy, specificity, and sensitivity metrics. The evaluation results showed that Ensemble Feature Selection (EFS) is a helpful tool to select relevant features from the EEGs. Thus, the stability calculated for the EFS method proposed was almost perfect in most of the cases evaluated. Moreover, the assessed classifiers evidenced that the models improved in performance when trained with the EFS approach’s features. In addition, the classifier of epileptiform events built using the features selected by the EFS method achieved an accuracy, sensitivity, and specificity of 97.64%, 96.78%, and 97.95%, respectively; finally, the stability of the EFS method evidenced a reliable subset of relevant features. Moreover, the accuracy, sensitivity, and specificity of the EEG detector are equal to or greater than the values reported in the literature.

INTEGRATING FUZZY C-MEANS AND MAHALANOBIS METRIC CLASSIFICATION FOR EXUDATE DETECTION IN COLOR FUNDUS IMAGING

2015 ◽  
Vol 15 (05) ◽  
pp. 1550085 ◽  
Author(s):  
MADHURI TASGAONKAR ◽  
MADHURI KHAMBETE
Keyword(s):  
Diabetic Retinopathy ◽  
Early Detection ◽  
Ground Truth ◽  
Vital Role ◽  
Detection Accuracy ◽  
Fuzzy C Means ◽  
Fundus Imaging ◽  
Imaging Detection ◽  
Retinal Structure

Diabetes affects retinal structure of a diabetic patient by generating various lesions. Early detection of these lesions can avoid the loss of vision. Automation of detection process can be made easily feasible to masses by the use of fundus imaging. Detection of exudates is significant in diabetic retinopathy (DR) as they are earlier signs and can cause blindness. Finding the exact location as well as correct number of exudates play vital role in the overall treatment of a patient. This paper presents an algorithm for automatic detection of exudates for DR. The algorithm combines the advantages of supervised and unsupervised techniques. It uses fuzzy-C means (FCM) segmentation on coarse level and mahalanobis metric for finer classification of segmented pixels. Mahalanobis criterion gives significance to most relevant features and thus proves a better classifier. The results are validated using DIARETDB0 and DIARETDB1 databases and the ground truth provided with it. This evaluation provided 95.77% detection accuracy.

The Place of Osmophobia and Taste Abnormalities in Migraine Classification: A Tertiary Care Study of 1237 Patients

Cephalalgia ◽  
2004 ◽  
Vol 24 (11) ◽  
pp. 940-946 ◽  
Author(s):  
L Kelman
Keyword(s):  
Sensitivity And Specificity ◽  
International Headache Society ◽  
Tertiary Care ◽  
Nausea And Vomiting ◽  
Care Study

This study evaluates osmophobia and taste abnormalities in relationship to sensitivity and specificity in the classification of migraine. Consecutive International Headache Society (IHS) classified patients ( n = 1237) were evaluated. Symptoms were graded from 0 to 3. Osmophobia and taste abnormalities were tested for sensitivity and specificity in migraine diagnosis. The patients were 85.4% female and their mean age was 38.1 years. Of 673 patients 24.7% complained of osmophobia, and 24.6% of 505 complained of taste abnormalities. In the absence of nausea and vomiting the combinations of two symptoms gave the following sensitivity and specificity percentages, respectively: photophobia and phonophobia, 10.6 and 84.9; photophobia and osmophobia, 1.1 and 99.0; phonophobia and osmophobia, 1.1 and 98.6; photophobia and taste abnormality, 9.6 and 99.0; phono-phobia and taste abnormality, 9.6 and 98.8; and osmophobia and taste abnormality, 4.2 and 99.4. Osmophobia and taste abnormalities were demonstrated to be very specific in diagnosing migraine IHS 1.1-1.6, but very insensitive.

scholarly journals Terminology and frameworks used for the classification of voice disorders

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Christopher L. Payten ◽  
Greg Chiapello ◽  
Kelly A. Weir ◽  
Catherine J. Madill
Keyword(s):  
Voice Disorders
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