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The utility of combining continuous wavelet transform analysis and high-density voltage map in predicting the long-term outcomes after ablation of persistent atrial fibrillation
BackgroundContinuous wavelet transform (CWT) analysis is a frequency analysis to detect areas of stable high-frequent activity (stable pseudo...
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Optimal Scale-Invariant Wavelet Representation and Filtering of Human Otoacoustic Emissions
Otoacoustic emissions (OAEs) are generated in the cochlea and recorded in the ear canal either as a time domain waveform or as a collection of...
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Continuous wavelet transform analysis of ERG in patients with diabetic retinopathy
PurposeDiabetic retinopathy (DR) is one of the leading causes of blindness worldwide. Non-proliferative diabetic retinopathy (NPDR) is a stage of the...
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Deep learning based fetal distress detection from time frequency representation of cardiotocogram signal using Morse wavelet: research study
BackgroundClinically cardiotocography is a technique which is used to monitor and evaluate the level of fetal distress. Even though, CTG is the most...
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Automatic wavelet-based assessment of behavioral sleep using multichannel electrocorticography in rats
PurposeDuring the last decade, the reported prevalence of sleep-disordered breathing in adults has been rapidly increasing. Therefore, automatic...
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Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
BackgroundRecent guidelines propose N-terminal pro-B-type natriuretic peptide (NT-proBNP) for recognition of asymptomatic left ventricular (LV)...
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Dynamic tracking of microvascular hemoglobin content for continuous perfusion monitoring in the intensive care unit: pilot feasibility study
Purpose: There is a need for bedside methods to monitor oxygen delivery in the microcirculation. Near-infrared spectroscopy commonly measures tissue...
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A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment
BackgroundThe detection of Alzheimer’s Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of...
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Approaches for Assessing Circadian Rest-Activity Patterns Using Actigraphy in Cohort and Population-Based Studies
Purpose of ReviewTo review methods for analyzing circadian rest-activity patterns using actigraphy and to discuss their applications in large cohort...
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New criteria for evaluation of electroretinogram in patients with retinitis pigmentosa
BackgroundElectroretinogram (ERG) plays an essential role in the diagnosis of retinal disease. Choosing appropriate methods could extract valuable...
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Long-term effects of climate factors on dengue fever over a 40-year period
BackgroundDengue fever stands as one of the most extensively disseminated mosquito-borne infectious diseases worldwide. While numerous studies have...
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An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy
BackgroundEpilepsy is a neurological disorder that is usually detected by electroencephalogram (EEG) signals. Since manual examination of epilepsy...
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A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers
The ubiquity of personal digital devices offers unprecedented opportunities to study human behavior. Current state-of-the-art methods quantify...
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A systematic review of machine learning based thyroid tumor characterisation using ultrasonographic images
Ultrasonography is widely used to screen thyroid tumors because it is safe, easy to use, and low-cost. However, it is simultaneously affected by...
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Real-Time Analysis of the Log Files of the HeartWare Continuous-Flow Left Ventricular Assist Device for the Early Diagnosis of Pump Thrombosis: a Step Forward Toward Clinical Translation
We evaluated the real-time diagnostic capability of a new tool enhancing early diagnosis of pump thrombosis (PT) of the HeartWare left ventricular...
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Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals
BackgroundCardiac arrhythmia is a cardiovascular disorder characterized by disturbances in the heartbeat caused by electrical conduction anomalies in...
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Common multi-day rhythms in smartphone behavior
The idea that abnormal human activities follow multi-day rhythms is found in ancient beliefs on the moon to modern clinical observations in epilepsy...
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The correlation between three teleconnections and leptospirosis incidence in the Kandy District, Sri Lanka, 2004–2019
BackgroundLeptospirosis is a bacterial zoonosis. Leptospirosis incidence (LI) in Sri Lanka is high. Infected animals excrete leptospires into the...
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Automated extraction of the arterial input function from brain images for parametric PET studies
BackgroundAccurate measurement of the arterial input function (AIF) is crucial for parametric PET studies, but the AIF is commonly derived from...
