Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation
To effectively analyze the diffusion and accumulation of signals on the surface and inside the human body under electrical stimulation, we used the gray threshold of the Chinese Digital Human image dataset to segment an arm image and reconstruct the tissue to obtain its three-dimensional cloud point...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/10/3/374 |
| _version_ | 1797613437152395264 |
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| author | Shuang Zhang Jiujiang Wang Yuanyu Yu Lin Wu Tao Zhang |
| author_facet | Shuang Zhang Jiujiang Wang Yuanyu Yu Lin Wu Tao Zhang |
| author_sort | Shuang Zhang |
| collection | DOAJ |
| description | To effectively analyze the diffusion and accumulation of signals on the surface and inside the human body under electrical stimulation, we used the gray threshold of the Chinese Digital Human image dataset to segment an arm image and reconstruct the tissue to obtain its three-dimensional cloud point dataset. Finally, a semirefined digital arm entity model with the geometric characteristics of the actual human arm tissue was constructed using reverse engineering technology. Further input of the current signal stimulation under tDCS and tACS with additional analysis of the signal diffusion in the transient mode via model calculation revealed that DC electrical stimulation is likely to cause high-voltage burns. The effective depth achieved using the AC stimulation signal is considerable, and provides reference for the electrical stimulation selection. Simultaneously, in the digital arm model, the signal diffusion and tissue damage inside the arm can be analyzed by changing the field, which provides a theoretical basis for the experimental study of the human body. |
| first_indexed | 2024-03-11T06:55:48Z |
| format | Article |
| id | doaj.art-c0ab178eb6d44467bac2484262ae54c4 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-11T06:55:48Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-c0ab178eb6d44467bac2484262ae54c42023-11-17T09:40:24ZengMDPI AGBioengineering2306-53542023-03-0110337410.3390/bioengineering10030374Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation SimulationShuang Zhang0Jiujiang Wang1Yuanyu Yu2Lin Wu3Tao Zhang4The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, ChinaThe School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, ChinaThe School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, ChinaThe NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, ChinaThe School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, ChinaTo effectively analyze the diffusion and accumulation of signals on the surface and inside the human body under electrical stimulation, we used the gray threshold of the Chinese Digital Human image dataset to segment an arm image and reconstruct the tissue to obtain its three-dimensional cloud point dataset. Finally, a semirefined digital arm entity model with the geometric characteristics of the actual human arm tissue was constructed using reverse engineering technology. Further input of the current signal stimulation under tDCS and tACS with additional analysis of the signal diffusion in the transient mode via model calculation revealed that DC electrical stimulation is likely to cause high-voltage burns. The effective depth achieved using the AC stimulation signal is considerable, and provides reference for the electrical stimulation selection. Simultaneously, in the digital arm model, the signal diffusion and tissue damage inside the arm can be analyzed by changing the field, which provides a theoretical basis for the experimental study of the human body.https://www.mdpi.com/2306-5354/10/3/374image generationreconstructionsegmentationstimulation |
| spellingShingle | Shuang Zhang Jiujiang Wang Yuanyu Yu Lin Wu Tao Zhang Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation Bioengineering image generation reconstruction segmentation stimulation |
| title | Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation |
| title_full | Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation |
| title_fullStr | Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation |
| title_full_unstemmed | Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation |
| title_short | Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation |
| title_sort | chinese digital arm cda a high precision digital arm for electrical stimulation simulation |
| topic | image generation reconstruction segmentation stimulation |
| url | https://www.mdpi.com/2306-5354/10/3/374 |
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