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Electrochemiluminescent tactile visual synapse enabling in situ health monitoring
Abstract
Tactile visual synapses combine the functionality of tactile artificial synapses with the ability to visualize their activity in real time and provide a direct and intuitive visualization of the activity, offering an efficient route for in situ health monitoring. Herein we present a tactile visual synapse that enables in situ monitoring of finger rehabilitation and electrocardiogram analysis. Repetitive finger flexion and various arrhythmias are monitored and visually guided using the developed tactile visual synapse combined with an electrical and optical output feedback algorithm. The tactile visual synapse has the structure of an electrochemical transistor comprising an elastomeric top gate as a tactile receptor and an electrochemiluminescent ion gel as a light-emitting layer stacked on a polymeric semiconductor layer, forming an electrical synaptic channel between source and drain electrodes. The low-power (~34 μW) visualization of the tactile synaptic activity associated with the repetitive motions of fingers and heartbeats enables the development of a convenient and efficient personalized healthcare system.
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A bioinspired flexible organic artificial afferent nerve
Kim, Y., Chortos, A., Xu, W., Liu, Y., Oh, J. Y., Son, D., Kang, J., Foudeh, A. M., Zhu, C., Lee, Y., et al. (2018) · Science · doi:10.1126/science.aao0098 · Cited by 1,466
Self-citationUltrafast machine vision with 2D material neural network image sensors
Mennel, L., Symonowicz, J., Wachter, S., Polyushkin, D. K., Molina‐Mendoza, A. J., & Mueller, T. (2020) · Nature · doi:10.1038/s41586-020-2038-x · Cited by 1,180
High-performance transistors for bioelectronics through tuning of channel thickness
Rivnay, J., Leleux, P., Ferro, M. D., Sessolo, M., Williamson, A., Koutsouras, D. A., Khodagholy, D., Ramuz, M. P., Strakosas, X., Owens, R. M., et al. (2015) · Science Advances · doi:10.1126/sciadv.1400251 · Cited by 738
ECG Heartbeat Classification: A Deep Transferable Representation
Kachuee, M., Fazeli, S., & Sarrafzadeh, M. (2018) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi.2018.00092 · Cited by 609
Cheng, Z., Rı́os, C., Pernice, W. H. P., Wright, C. D., & Bhaskaran, H. (2017) · Science Advances · doi:10.1126/sciadv.1700160 · Cited by 604
“Cut and Stick” Rubbery Ion Gels as High Capacitance Gate Dielectrics
Lee, K. H., Kang, M. S., Zhang, S., Gu, Y., Lodge, T. P., & Frisbie, C. D. (2012) · Advanced Materials · doi:10.1002/adma.201200950 · Cited by 465
Self-citationEmerging Memristive Artificial Synapses and Neurons for Energy‐Efficient Neuromorphic Computing
Choi, S., Yang, J., & Wang, G. (2020) · Advanced Materials · doi:10.1002/adma.202004659 · Cited by 440
Self-citationAn Artificial Sensory Neuron with Tactile Perceptual Learning
Wan, C., Chen, G., Fu, Y., Wang, M., Matsuhisa, N., Pan, S., Pan, L., Yang, H., Wan, Q., Zhu, L., et al. (2018) · Advanced Materials · doi:10.1002/adma.201801291 · Cited by 418
Retina‐Inspired Carbon Nitride‐Based Photonic Synapses for Selective Detection of UV Light
Park, H., Kim, H., Lim, D., Zhou, H., Kim, Y., Lee, Y., Park, S., & Lee, T. (2020) · Advanced Materials · doi:10.1002/adma.201906899 · Cited by 402
Self-citationPotential-Resolved Multicolor Electrochemiluminescence for Multiplex Immunoassay in a Single Sample
Guo, W., Ding, H., Gu, C., et al. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b09422 · Cited by 369
Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems
Shim, H., Sim, K., Ershad, F., Yang, P., Thukral, A., Rao, Z., Kim, H., Liu, Y., Wang, X., Gu, G., et al. (2019) · Science Advances · doi:10.1126/sciadv.aax4961 · Cited by 316
Self-citationVertical organic synapse expandable to 3D crossbar array
Choi, Y., Oh, S., Qian, C., Park, J., & Cho, J. H. (2020) · Nature Communications · doi:10.1038/s41467-020-17850-w · Cited by 260
Contact-electrification-activated artificial afferents at femtojoule energy
Yu, J., Gao, G., Huang, J., Yang, X., Han, J., Zhang, H., Chen, Y., Zhao, C., Sun, Q., & Wang, Z. L. (2021) · Nature Communications · doi:10.1038/s41467-021-21890-1 · Cited by 246
A flexible artificial intrinsic-synaptic tactile sensory organ
Lee, Y. R., Trung, T. Q., Hwang, B., & Lee, N. (2020) · Nature Communications · doi:10.1038/s41467-020-16606-w · Cited by 221
Cai, M., Jiao, Z., Nie, S., Wang, C., Zou, J. T., & Song, J. (2021) · Science Advances · doi:10.1126/sciadv.abl8313 · Cited by 183
Sun, L., Zhang, Y., Hwang, G., Jiang, J., Kim, D., Eshete, Y. A., Zhao, R. J., & Yang, H. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b00994 · Cited by 179
Electroluminescent synaptic devices with logic functions
Zhao, S., Ni, Z., Tan, H., Wang, Y., Jin, H., Nie, T., Xu, M., Pi, X., & Yang, D. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.10.018 · Cited by 117
Shan, L., Chen, Q., Yu, R., Gao, C., Liu, L., Guo, T., & Chen, H. (2023) · Nature Communications · doi:10.1038/s41467-023-38396-7 · Cited by 111
Wang, Y., Liu, D., Zhang, Y., Fan, L., Ren, Q., Ma, S., & Zhang, M. (2022) · ACS Nano · doi:10.1021/acsnano.2c02089 · Cited by 110
Retina‐Inspired Structurally Tunable Synaptic Perovskite Nanocones
Lee, K., Han, H., Kim, Y., Park, J., Jang, S., Lee, H., Lee, S. W., Kim, H., Kim, Y., Kim, T., et al. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202105596 · Cited by 95
Self-citationSeung, H., Choi, C., Kim, D. C., Kim, J. S., Kim, J. H., Kim, J., Park, S. I., Lim, J. A., Yang, J., Choi, M. K., et al. (2022) · Science Advances · doi:10.1126/sciadv.abq3101 · Cited by 95
Wearable Circuits Sintered at Room Temperature Directly on the Skin Surface for Health Monitoring
Zhang, L., Ji, H., Huang, H., Yi, N., Shi, X., Xie, S., Li, Y., Ye, Z., Feng, P., Lin, T., et al. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c11479 · Cited by 94
Vestibular Rehabilitation Using Visual Displays: Preliminary Study
Viirre, E., & Sitarz, R. (2002) · The Laryngoscope · doi:10.1097/00005537-200203000-00017 · Cited by 85
Chen, J., Yang, D., Jhuang, F., Fang, Y., Benas, J., Liang, F., & Kuo, C. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202105911 · Cited by 85
Light-Emitting Memristors for Optoelectronic Artificial Efferent Nerve
Zhu, Y., Wu, C., Xu, Z., Yang, L., Hu, H., Guo, T., Kim, T. W., Chai, Y., & Li, F. (2021) · Nano Letters · doi:10.1021/acs.nanolett.1c01482 · Cited by 82
Self-citationArtificially Intelligent Tactile Ferroelectric Skin
Lee, K., Jang, S., Kim, K. L., Koo, M., Park, C., Lee, S., Lee, J., Wang, G., & Park, C. (2020) · Advanced Science · doi:10.1002/advs.202001662 · Cited by 81
Self-citationThe Ultimate Display for Physical Rehabilitation: A Bridging Review on Immersive Virtual Reality
Elor, A., & Kurniawan, S. (2020) · Frontiers in Virtual Reality · doi:10.3389/frvir.2020.585993 · Cited by 65
Synaptic Plasticity Powering Long‐Afterglow Organic Light‐Emitting Transistors
Chen, Y., Wang, H., Yao, Y., Wang, Y., Ma, C., & Samorı́, P. (2021) · Advanced Materials · doi:10.1002/adma.202103369 · Cited by 57
Neuromorphic display system for intelligent display
Chen, Q., Zhang, X., Liu, Y., Yan, Y., Yu, R., Wang, X., Lin, Z., Zeng, H., Liu, L., Chen, H., et al. (2022) · Nano Energy · doi:10.1016/j.nanoen.2022.106931 · Cited by 45
Kim, H., Lee, K., Oh, J. W., Kim, Y., Park, J., Jang, J., Lee, S. W., Lee, S., Koo, C. M., & Park, C. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202210385 · Cited by 42
Self-citationNanofloating gate modulated synaptic organic light-emitting transistors for reconfigurable displays
Chen, Y., Wang, H., Luo, F., Montes‐García, V., Liu, Z., & Samorı́, P. (2022) · Science Advances · doi:10.1126/sciadv.abq4824 · Cited by 39
Electrochemiluminescent Transistors: A New Strategy toward Light‐Emitting Switching Devices
Lee, S., Lee, H. J., Ji, Y., Lee, K. H., & Hong, K. (2020) · Advanced Materials · doi:10.1002/adma.202005456 · Cited by 38
Self-citationHumidity-Dependent Synaptic Plasticity for Proton Gated Oxide Synaptic Transistor
Guo, L. Q., Wen, J., Zhu, L. Q., Fu, Y. M., & Xiao, H. (2017) · IEEE Electron Device Letters · doi:10.1109/led.2017.2723917 · Cited by 36
Polarons, Bipolarons, and Electrical Properties of Crystalline Conducting Polymers
Furukawa, Y., & Shimokawa, D. (2023) · Bulletin of the Chemical Society of Japan · doi:10.1246/bcsj.20230175 · Cited by 35
Low-Voltage Oxide-Based Synaptic Transistors for Spiking Humidity Detection
Nie, S., He, Y., Liu, R., et al. (2019) · IEEE Electron Device Letters · doi:10.1109/led.2019.2897228 · Cited by 34
Intelligent, biomimetic, color-tunable, light-emitting artificial skin with memory function
Zhu, Y., Liu, Y., Hu, H., Xu, Z., Wu, C., Kim, D. H., Guo, T., Li, F., & Kim, T. W. (2021) · Nano Energy · doi:10.1016/j.nanoen.2021.106569 · Cited by 32
Self-citationAdamson, N. S., Theakstone, A. G., Soulsby, L. C., et al. (2021) · Chemical Science · doi:10.1039/d1sc01236c · Cited by 29
Deheyn, D. D., & Wilson, N. G. (2010) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2010.2203 · Cited by 28
Bioluminescence in the Limpet-Like Snail, Latia neritoides
Ohmiya, Y., Kojima, S., Nakamura, M., et al. (2005) · Bulletin of the Chemical Society of Japan · doi:10.1246/bcsj.78.1197 · Cited by 28
Bird-Inspired Self-Navigating Artificial Synaptic Compass
Kim, Y., Lee, K., Lee, J., Jang, S., Kim, H., Lee, H., Lee, S. W., Wang, G., & Park, C. (2021) · ACS Nano · doi:10.1021/acsnano.1c08005 · Cited by 28
Self-citationBiase, L. D., Perini, A. P., Mohanty, P. K., Goldenberg, A. S., Grifoni, G., Santangeli, P., Santoro, F., Sánchez, J., Horton, R., Gallinghouse, G. J., et al. (2013) · Heart Rhythm · doi:10.1016/j.hrthm.2013.11.016 · Cited by 22
Dobiasch, M., Krenn, B., Lamberts, R. P., & Baca, A. (2021) · Journal of Sports Science and Medicine · doi:10.52082/jssm.2022.49 · Cited by 6
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Chen, S., Peng, C., Yang, B., Lin, J., Zhou, L., Jiang, Z., Liu, Z., Liu, Y., & Tang, L. (2026) · npj Artificial Intelligence · doi:10.1038/s44387-026-00083-5 · Cited by 9
Metadata
- Authors
- Kim, W., Lee, K., Choi, S., Park, E., Kim, G., Ha, J., Kim, Y., Jang, J., Oh, J. H., Kim, H., Jiang, W., Yoo, J., Kim, T., Kim, Y., Kim, K.-N., Hong, J., Javey, A., Rha, D.-W., Lee, T.-W., Kang, K., Wang, G., & Park, C.
- Affiliations
- Yonsei University (KR)
- Lawrence Berkeley National Laboratory (US)
- University of California, Santa Barbara (US)
- Seoul National University (KR)
- Korea University (KR)
- Corresponding author
- Wang, Gunuk
- Park, Cheolmin
- ORCID
- Venue
- Nature Materials
- Published
- 2025-02-24
- Volume
- 24
- Issue
- 6
- Pages
- 925-934
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- OpenAlex
- W4407884150
- Cited by
- 62
- References
- 42
- Citations by year
- 2026: 42 · 2025: 20
- FWCI
- 14.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Materials (publishedVersion)
- PubMed (publishedVersion)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- Ministry of Science, ICT and Future Planning (NRF-2022M3C1A3081211, RS-2024-00451891, RS-2024-00416938)
- Korea Institute of Science and Technology (2E32961)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Materials Science › Polymers and Plastics › Conducting polymers and applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- electrochemiluminescence, artificial synapses, electrochemical transistors, ionic gels, ECG monitoring, arrhythmia detection
- MeSH terms
- Fingers, Humans, Monitoring, Physiologic, Semiconductors, Touch, Transistors, Electronic
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