Multi-Channel Electrotactile Stimulation System for Touch Substitution: A Case Study
| Autor: | Hussein Chible, Maurizio Valle, Hoda Fares, Strahinja Dosen, Lucia Seminara |
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| Rok vydání: | 2018 |
| Předmět: |
030506 rehabilitation
restoration of sense of touch Computer science Sense of touch Interface (computing) Sensory system Stimulation Tactile perception 030204 cardiovascular system & hematology Somatosensory system 03 medical and health sciences Microelectronics 0302 clinical medicine frequency coding somatosensory feedback tactile perception Code (cryptography) Computer vision Codes (symbols) Microelectronics Electrotactile stimulation Frequency coding Somatosensory feedbacks Stimulation electrodes Tactile perception Prosthetics Electrotactile stimulation stimulation electrodes Prosthetics business.industry Substitution (logic) Artificial intelligence 0305 other medical science business Coding (social sciences) |
| Zdroj: | PRIME Fares, H, Seminara, L, Chible, H, Dosen, S & Valle, M 2018, Multi-Channel Electrotactile Stimulation System for Touch Substitution : A Case Study . in PRIME 2018-14th Conference on Ph.D. Research in Microelectronics and Electronics ., 8430345, IEEE, pp. 213-216, 14th Conference on Ph.D. Research in Microelectronics and Electronics, PRIME 2018, Prague, Czech Republic, 02/07/2018 . https://doi.org/10.1109/PRIME.2018.8430345 |
| Popis: | Reconstructing the sense of touch in prosthetics is a long-standing research challenge. To this aim, the prosthesis can be supplied with sensory arrays to measure the tactile interaction with the environment. In addition, a reliable feedback system is required to code and transmit the measured somatosensory information to the residual limb. This paper presents a multichannel electrotactile stimulation interface. Two coding schemes (mixed and uniform coding) were tested to assess the ability of the subject to localize the stimulation (identify the active pad). The outcome measures were position recognition and frequency discrimination. Our preliminary results show high accuracies in discriminating different frequency levels, i.e., 80% for low-level frequencies and 87% for high-level frequencies. In addition, the mixed coding has substantially improved the spatial localization. These are important insights regarding the development of multichannel sensing and stimulation systems for feedback in prosthetics. |
| Databáze: | OpenAIRE |
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