A One-Class Approach to Cardiotocogram Assessment

Gavrilis, Dimitris ;   Nikolakopoulos, George ;   Georgoulas, George

Tags Biomedical signal classificationPrincipal component analysis

Cardiotocogram (CTG) is the most widely means for the assessment of fetal condition. CTG consists of two traces one depicting the Fetal...

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Age Group Classification and Gender Detection based on Forced Expiratory Spirometry

Ozbek, I. Yucel ;   Cosgun, Sema

Tags Biomedical signal classificationSignal processing in physiological systemsPattern recognition methods for data mining in biosignals

This paper investigates the utility of forced expiratory spirometry (FES) test with efficient machine learning algorithms for the purpose of...

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An Enhanced Cerebral Recovery Index for Coma Prognostication Following Cardiac Arrest

Ghassemi, Mohammad ;   Amorim, Edilberto ;   Pati, Sandipan ;   Mark, Roger ;   Brown, Emery N ;   Purdon, Patrick ;   Westover, Brandon

Tags Biomedical signal classificationData mining in biosignalsMultivariate signal processing

Prognostication of coma outcomes following cardiac arrest is both qualitative and poorly understood in current practice. Existing quantitative...

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Automatic Sleep Staging based on ECG Signals using Hidden Markov Models

Chen, Ying ;   Zhu, Xin ;   Chen, Wenxi

Tags Markov models in signal pattern classificationSignal processing in physiological systemsEmpirical mode decomposition in biosignal analysis

This study is designed to investigate the feasibility of automatic sleep staging using features only derived from electrocardiography (ECG)...

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Dry Contact Fingertip ECG-Based Authentication System using Time, Frequency Domain Features and Support Vector Machine

Singh, Karan ;   Singhvi, Akshit ;   Pathangay, Vinod

Tags Biomedical signal classificationSignal processing in physiological systemsNeural networks in biosignal processing and classification

Acquiring fingertip ECG (electro cardiogram) signal using dry contact electrodes is challenging due to the presence of noise and interference...

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Early Mastitis Diagnosis through Topological Analysis of Biosignals from Low-Voltage Alternate Current Electrokinetics

Zhang, Zhifei ;   Song, Yang ;   Cui, Haochen ;   Wu, Jayne ;   Schwartz, Fernando ;   Qi, Hairong

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignals

Mastitis is the most economically important disease of dairy cows worldwide, and it constantly plagues the dairy industry. A reliable biosensing...

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Emotion State Identification based on Heart Rate Variability and Genetic Algorithm

Yu, Sung-Nien ;   Chen, Shu-Feng

Tags Biomedical signal classificationGenetic algorithms in signal pattern classificationPattern recognition methods for data mining in biosignals

The objective of this study is to develop an effective emotion recognition system based on ECG. The proposed emotion recognition system is...

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Temporal Correction of Detected R-Peaks in ECG Signals: A Crucial Step to Improve QRS Detection Algorithms

Gradl, Stefan ;   Leutheuser, Heike ;   Elgendi, Mohamed ;   Lang, Nadine ;   Eskofier, Bjoern M

Tags Biomedical signal classificationSignal processing in physiological systems

In the last decade the interest for heart rate variability analysis has increased tremendously. Related algorithms depend on accurate...

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The Respiration Pattern as an Indicator of the Anaerobic Threshold

Mirmohamadsadeghi, Leila ;   Vesin, Jean-Marc ;   Lemay, Mathieu ;   Dériaz, Olivier

Tags Biomedical signal classificationSignal processing in physiological systems

The anaerobic threshold (AT) is a good index of personal endurance but needs a laboratory setting to be determined. It is important to...

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