DocumentCode
718351
Title
Frequency domain identification of proprioceptive evoked potentials in compliant kinematic experiments
Author
Akinin, Abraham ; Govil, Nikhil ; Poizner, Howard ; Cauwenberghs, Gert
Author_Institution
Dept. of Bioeng. (BIOE), Inst. for Neural Comput., Univ. of California, San Diego, La Jolla, CA, USA
fYear
2015
fDate
22-24 April 2015
Firstpage
807
Lastpage
811
Abstract
Proprioception is a critical component of closed-loop motor control with sensory information being used to dynamically adjust and correct movement. We mapped brain responses in healthy adults to proprioceptive stimulation at different steady state frequencies. A haptic robotic device generated small, short, recurrent force pulses producing displacements of approximately 1 cm of the subject´s index finger. Four stimulation frequencies were used: 2 Hz, 3 Hz, 5 Hz and 7 Hz. Finger displacement and high resolution 63 channel EEG were simultaneously recorded. The resulting proprioceptive steady state evoked potentials (PSSEPs) and the compliant kinematics of the subject´s index finger were analyzed in the frequency domain. The harmonics of the input force pulse were used to interpolate and extrapolate the estimated kinematic and proprioceptive linear transfer functions beyond the fundamental frequencies of stimulation experiments. We used the relative SNR of the EEG channels to rank and identify the most important components of the spatial and frequency response. A physiologic, task-free, quantification of proprioceptive ability could have applications to diagnose and rehabilitate people with neurodegenerative and motor disorders.
Keywords
brain; electroencephalography; extrapolation; interpolation; mechanoception; medical signal processing; neurophysiology; PSSEP; SNR; brain responses; closed-loop motor control; compliant kinematics; extrapolation; frequency 2 Hz; frequency 3 Hz; frequency 5 Hz; frequency 7 Hz; frequency domain; frequency domain identification; fundamental frequencies; haptic robotic device; high-resolution 63 channel EEG recording; input force pulse; interpolation; kinematic linear transfer functions; motor disorders; neurodegenerative disorders; patient diagnosis; people rehabilitation; proprioceptive linear transfer functions; proprioceptive steady state evoked potentials; sensory information; subject index finger; Electrodes; Electroencephalography; Force; Kinematics; Robot sensing systems; Steady-state; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location
Montpellier
Type
conf
DOI
10.1109/NER.2015.7146746
Filename
7146746
Link To Document