التفاصيل البيبلوغرافية
| العنوان: |
A brain machine interface framework for exploring proactive control of smart environments. |
| المؤلفون: |
Braun, Jan-Matthias1 (AUTHOR) j-mb@mmmi.sdu.dk, Fauth, Michael2 (AUTHOR), Berger, Michael3,4,5 (AUTHOR), Huang, Nan-Sheng6 (AUTHOR), Simeoni, Ezequiel7 (AUTHOR), Gaeta, Eugenio7 (AUTHOR), Rodrigues do Carmo, Ricardo6 (AUTHOR), García-Betances, Rebeca I.7 (AUTHOR), Arredondo Waldmeyer, María Teresa7 (AUTHOR), Gail, Alexander3,4,5 (AUTHOR), Larsen, Jørgen C.6 (AUTHOR), Manoonpong, Poramate6,8 (AUTHOR), Tetzlaff, Christian2,9 (AUTHOR), Wörgötter, Florentin2 (AUTHOR) |
| المصدر: |
Scientific Reports. 6/17/2024, Vol. 14 Issue 1, p1-17. 17p. |
| مصطلحات موضوعية: |
*SMART devices, *DECODING algorithms, *GATE array circuits, *SCHEDULING, *MACHINERY, *MACAQUES |
| مستخلص: |
Brain machine interfaces (BMIs) can substantially improve the quality of life of elderly or disabled people. However, performing complex action sequences with a BMI system is onerous because it requires issuing commands sequentially. Fundamentally different from this, we have designed a BMI system that reads out mental planning activity and issues commands in a proactive manner. To demonstrate this, we recorded brain activity from freely-moving monkeys performing an instructed task and decoded it with an energy-efficient, small and mobile field-programmable gate array hardware decoder triggering real-time action execution on smart devices. Core of this is an adaptive decoding algorithm that can compensate for the day-by-day neuronal signal fluctuations with minimal re-calibration effort. We show that open-loop planning-ahead control is possible using signals from primary and pre-motor areas leading to significant time-gain in the execution of action sequences. This novel approach provides, thus, a stepping stone towards improved and more humane control of different smart environments with mobile brain machine interfaces. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
Academic Search Index |
Full Text Finder