التفاصيل البيبلوغرافية
| العنوان: |
Advance in Rehabilitative Intuitive Robotics |
| المؤلفون: |
Chaoyang Chen, Guanghua Xu, and John M Cavanaugh |
| بيانات النشر: |
MedCrave |
| سنة النشر: |
2016 |
| المجموعة: |
MedCrave |
| مصطلحات موضوعية: |
Robotics, Rehabilitation, Electromyography, Electroencephalography, Human machine interface, Electrode, BCI: Brain Computer Interface, BMI: Brain Machine Interface, EMG: Electromyography, EEG: Electroencephalography, ECoG: Electrocorticography, ERP: Event Related Potential, HMI: Human Machine Interface, PNI: Peripheral Nerve Interface, PMI: Peripheral Muscle Interface, CNT-MEA: Carbon Nano Tube Multi-Electrode Array, WRTM: Waveform Recognition and Template Matching, FFT: Fast Fourier Transform, SSEVP: Static Status Evoked Visual Potential: SNR: Signal-to-Noise Ratio, VR: Virtual Reality |
| الوصف: |
This article presents a systematic review of up-to-date progress on upper limb and lower extremity exoskeletons and prosthetic devices intuitively controlled by electromyography(EMG) or electroencephalography(EEG) signals for paraplegic patients and amputees. Bio-electrical signal processing methods are introduced, including waveform recognition and template matching (WRTM), wavelet analysis, fast Fourier transform (FFT), static status evoked visual potential (SSEVP) methods. Progress in electrodes used as human machine interface (HMI) is introduced, including carbon nanotube multi-electrode array (CNT-MEA). |
| نوع الوثيقة: |
review |
| وصف الملف: |
application/pdf |
| اللغة: |
unknown |
| العلاقة: |
http://medcraveonline.com/JABB/JABB-01-00002.phpTest |
| الإتاحة: |
http://medcraveonline.com/JABB/JABB-01-00002.phpTest |
| حقوق: |
http://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.1EE80B2F |
| قاعدة البيانات: |
BASE |
