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Related Concept Videos

Classification of Signals01:30

Classification of Signals

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In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
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To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
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Related Experiment Video

Updated: Apr 15, 2026

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
09:32

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge

Published on: January 20, 2023

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Deep learning for carotid Doppler spectra classification

Charita Bhikha1, Kahesh Dhuness2, Mathilda Mennen3

  • 1Manufacturing Cluster, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa. CBhikha@csir.co.za.

Medical & Biological Engineering & Computing
|April 14, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Artery identificationCarotid Doppler ultrasoundExplainable AISpectral DopplerTransfer learning

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