Deep-Learning-Based Deconvolution of Mechanical Stimuli with Ti

LC resonator MXenes deep learning mechanical stimuli deconvolution rehabilitation monitoring tactile sensors wireless communication

Journal

ACS nano
ISSN: 1936-086X
Titre abrégé: ACS Nano
Pays: United States
ID NLM: 101313589

Informations de publication

Date de publication:
22 09 2020
Historique:
pubmed: 20 8 2020
medline: 20 8 2020
entrez: 20 8 2020
Statut: ppublish

Résumé

Passive component-based soft resonators have been spotlighted in the field of wearable and implantable devices due to their remote operation capability and tunable properties. As the output signal of the resonator-based wireless communication device is given in the form of a vector (

Identifiants

DOI: 10.1021/acsnano.0c05105 PMID: 32813495
pubmed: 32813495
doi: 10.1021/acsnano.0c05105
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

11962-11972

Auteurs

Gun-Hee Lee (GH)

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Gang San Lee (GS)

National Creative Research Initiative Center for Multi-dimensional Directed Nanoscale Assembly, Department of Materials Science and Engineering, KAIST Institute for Nanocentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Junyoung Byun (J)

School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Jun Chang Yang (JC)

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Chorom Jang (C)

School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea.

Seongrak Kim (S)

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Hyeonji Kim (H)

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Jin-Kwan Park (JK)

School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea.

Ho Jin Lee (HJ)

National Creative Research Initiative Center for Multi-dimensional Directed Nanoscale Assembly, Department of Materials Science and Engineering, KAIST Institute for Nanocentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Jong-Gwan Yook (JG)

School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea.

Sang Ouk Kim (SO)

National Creative Research Initiative Center for Multi-dimensional Directed Nanoscale Assembly, Department of Materials Science and Engineering, KAIST Institute for Nanocentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Steve Park (S)

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Classifications MeSH