A. H. Khandoker

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Obstructive sleep apnea (OSA) causes a pause in air-flow with continuing breathing effort. In contrast, central sleep apnea (CSA) event is not accompanied with breathing effort. The aim of this study is to differentiate characteristics of CSA and OSA using wavelet packet analysis of ECG signal over 5 second period and support vector machines. Six patients(More)
Fetal ECG and Doppler ultrasound signals provide clinically significant information concerning the physiological state of a fetus. In this study, we propose a non-invasive system to recognize the timings of fetal cardiac events on the basis of analysis of fetal ECG and Doppler ultrasound signal together. Fetal ECG was extracted from transabdominal ECG (10(More)
The Poincaré plot of RR intervals is one of the most popular techniques used in heart rate variability (HRV) analysis. The standard descriptors SD1 and SD2 of Poincaré plot represents the distribution of signal by quantifying spatial (shape) information. The present study proposes a novel descriptor, Complex Correlation Measure (CCM), to quantify changes in(More)
In this study, we propose a non-invasive system to recognize the timings of fetal cardiac events on the basis of analysis of fetal ECG and Doppler ultrasound signal together. Fetal ECG was extracted from transabdominal ECG (10 normal subjects, 38-41 weeks of gestation) using blind source separation with the reference signal. Multiresolution wavelet analysis(More)
This study presents the usefulness of tone-entropy (T-E) analysis of heart rate variability (HRV) using short term ECG recordings (~20 minutes) for screening the degree of severity (mild, definite and severe) of cardiac autonomic neuropathy (CAN). Tone reflects sympatho-vagal balance whose validity has been already examined on typical physiological cases.(More)
A machine learning technique [support vector machines (SVM)] for automated recognition of obstructive sleep apnoea syndrome OSAS types from their nocturnal ECG recordings is investigated. Total 70 sets of nocturnal ECG recordings [35 sets (learning set) and 35 sets (test set)] from normal subjects (OSAS-) and subjects with OSAS (OSAS+) were collected from(More)
The aim of the present study is to investigate whether wavelet based features of ECG signals during central sleep apnea (CSA) can act as surrogate of respiratory effort measured by respiratory inductance plethysmography (RIP). Therefore, RIP and ECG signals during 125 pre-scored CSA events and 10 seconds preceding the events were collected from 7 patients.(More)
In this study, we propose an automated algorithm (support vector machines, SVM) to recognize the abnormal fetus using the timings of fetal cardiac events on the basis of analysis of simultaneously recorded fetal ECG (FECG) and Doppler ultrasound (DUS) signal. FECG and DUS signals from 29 fetuses [21 normal and 8 abnormal] were analyzed. Multiresolution(More)
Heart rate asymmetry (HRA) is a quantifiable and visible phenomena in Poincaré plot which is defined with respect to line of identity (RR(i)=RR(i+1)). In general, third moment measure (skewness) is most appropriate for quantifying asymmetry of any time series signal. Existing El-hers' index (EI) is the third moment measure but it is defined based on the(More)