Review on Wearable System for Positioning Ultrasound Scanner-Reference-Cited by-同舟云学术

Review on Wearable System for Positioning Ultrasound Scanner

Published:2023-02-24 Issue:3 Volume:11 Page:325
ISSN:2075-1702
Container-title:Machines
language:en
Short-container-title:Machines

Author:

Li Lailu¹,Zhao Lei²^ORCID,Hassan Rayan³,Ren Hongliang¹⁴⁵⁶⁷^ORCID

Affiliation:

1. Department of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong

2. College of Computer Science and Electronic Engineering, Hunan University, Changsha 410012, China

3. Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15260, USA

4. Department of Biomedical Engineering, National University of Singapore (NUS), Singapore 119077, Singapore

5. Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong

6. Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China

7. NUS (Suzhou) Research Institute, Suzhou 215000, China

Abstract

Although ultrasound (US) scan or diagnosis became widely employed in the 20th century, it still plays a crucial part in modern medical diagnostics, serving as a diagnostic tool or a therapy process guide. This review provides information on current wearable technologies and applications used in external ultrasound scanning. It offers thorough explanations that could help build upon any project utilizing wearable external US devices. It touches on several aspects of US scanning and reviews basic medical procedure concepts. The paper starts with a detailed overview of ultrasound principles, including the propagation speed of sound waves, sound wave interactions, image resolution, transducers, and probe positioning. After that, it explores wearable external US mounts and wearable external US transducers applied for sonograph purposes. The subsequent section tackles artificial intelligence methods in wearable US scanners. Finally, future external US scan directions are reported, focusing on hardware and software.

Funder

National Key R&D Program of China

Shun Hing Institute of Advanced Engineering

Regional Joint Fund Project of the Basic and Applied Research Fund of Guangdong Province

Singapore Academic Research Fund

Health Longevity Catalyst Awards

Shenzhen-Hong Kong-Macau Technology Research Programme

Hong Kong Research Grants Council (RGC) Collaborative Research Fund

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

Link

https://www.mdpi.com/2075-1702/11/3/325/pdf

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