Diagnostic radiology requires accurate interpretation of complex signals in medical images.
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …

Dynamic time warping is a popular technique for comparing time series, providing both a
distance measure that is insensitive to local compression and stretches and the warping …

OBJECTIVE: The purpose of this study was to assess the performance of a real-time (“open-
end”) version of the dynamic time warping (DTW) algorithm for the recognition of motor …

The field of diagnostic decision support in radiology is undergoing rapid transformation with
the availability of large amounts of patient data and the development of new artificial …

Electrical motor stator current signals have been widely used to monitor the condition of
induction machines and their downstream mechanical equipment. The key technique used …

Electrocardiogram (ECG) is one of the most basic tools available for the detection of
cardiovascular disease (CVD) which has evolved as one of the major causes of death in …

The paper presents a ECGs classification system that uses powerful algorithms image
processing and artificial intelligence. The descriptor haar-like is based on the concept of the …

This manuscript presents a method for motion capture–based manufacturing time and
motion studies. The proposed human motion analytics system uses motion capture …

Automatic real-time detection and classification of ECG patterns is of great importance in
early diagnosis and treatment of life-threatening cardiac arrhythmia. In this paper, we have …

A fault recognition method for rolling element bearings based on Multiscale Dynamic Time
Warping (MDTW) is proposed in this paper. After preprocessing using Empirical Mode …