Search
Now showing items 61-67 of 67
Feature fusion based on joint sparse representations and wavelets for multiview classification
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views ...
Edge-based compression and classification for smart healthcare systems: concept, implementation and evaluation
(
Elsevier Ltd
, 2019 , Article)
Smart healthcare systems require recording, transmitting and processing large volumes of multimodal medical data generated from different types of sensors and medical devices, which is challenging and may turn some of the ...
Robust feature point detectors for car make recognition
(
Elsevier B.V.
, 2018 , Article)
An Automatic Vehicle Make and Model Recognition (AVMMR) system can be a useful add-on tool to Automatic Number Plate Recognition (ANPR) to address potential car cloning, including intelligence collection by the police to ...
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals
(
Elsevier
, 2023 , Article)
Gait analysis is helpful for rehabilitation, clinical diagnoses, and sporting activities. Among the gathered signals, ground reaction forces (GRF) may be used for assisting doctors in recognizing and categorizing gait ...
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
(
MDPI
, 2022 , Article)
Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several ...
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
(
Springer Nature
, 2023 , Article)
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly the walking gait is greatly influenced by the deterioration process. Early ...
Arrhythmia classification using DWT-coefficient energy ratios
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Certain features present in electrocardiogram (ECG) signals are used to detect different heart conditions. Hence, by developing a system to extract these features, useful information related to the heart conditions could ...