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

OBJECTIVE: The purpose of this study was to assess the performance of a real-time (“open-
end”) version of the dynamic time war** (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 …

Over the past decades, there has been a growing interest in long‐term heart rate records,
especially from free‐living animals. Largely, this increase is because most of the metabolic …

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 …

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 …

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

ECG is an electric signal which is generated from human heart. It is used for investigate
some of abnormal heart function. For this paper the shape of ECG is used to classify ECG …