Machine Learning for Bioelectronics on Wearable and Implantable Devices: Challenges and Potential-Reference-Cited by-同舟云学术

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Machine Learning for Bioelectronics on Wearable and Implantable Devices: Challenges and Potential

Published:2023-01-01 Issue:1-2 Volume:29 Page:20-46
ISSN:1937-3341
Container-title:Tissue Engineering Part A
language:en
Short-container-title:Tissue Engineering Part A

Author:

Goh Guo Dong¹,Lee Jia Min²,Goh Guo Liang³,Huang Xi²,Lee Samuel³,Yeong Wai Yee¹³

Affiliation:

1. Singapore Center for 3D Printing, School of Mechanical & Aerospace Engineering, Nanyang Technological University Singapore, Singapore, Singapore.

2. NTU-HP Joint Lab and Nanyang Technological University Singapore, Singapore, Singapore.

3. Schaeffler Hub for Advanced Research (SHARE@NTU), Nanyang Technological University Singapore, Singapore, Singapore.

Publisher

Mary Ann Liebert Inc

Subject

Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering

Link

https://www.liebertpub.com/doi/pdf/10.1089/ten.tea.2022.0119

Reference177 articles.

1. Symbiotic cardiac pacemaker

2. Development of battery-free neural interface and modulated control of tibialis anterior muscle via common peroneal nerve based on triboelectric nanogenerators (TENGs)

3. Wearable and Implantable Electroceuticals for Therapeutic Electrostimulations

4. Wearable and Implantable Soft Bioelectronics: Device Designs and Material Strategies

5. Stretchable piezoelectric energy harvesters and self-powered sensors for wearable and implantable devices

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4. Wearable Technology and Its Influence on Motor Development and Biomechanical Analysis;International Journal of Environmental Research and Public Health;2024-08-26

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