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Design therapy for post-stroke patients with robotics tools and principles of mirror neurons using qEEG parameter analysis
Setiawan R.a, Valentine O.a, Zakaria H.a
a School of Electrical Engineering and Informatics, Bandung Institute of Technology (ITB), Bandung, 40 119, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 Association for Computing Machinery.Stroke causes neurological disorders such as reduced musclemotor skills, as well as cognitive, visual, and coordinationfunctions, significantly. The reduced level of independence andmobility of a person can affect their quality of life. So, withrehabilitation program, it is expected that motor skills andcognitive function of stroke patients can be restored. This studyfocused on designing an integrated therapeutic device by usingstationary cycles with the principle of mirror neurons andequipped with qEEG signal analysis for parameters comparisonbefore and after therapy. Channels EEG used are F3, F4, C3, Cz,C4, P3, Pz, and P4 according to the rules of localization 10-20 Ref.The device also designed as a robotic system controlled by themovement intentions detected from EEG signals before the actualmovement occurs. The Event-Related Potential (ERP)phenomenon mu waves were used to recognize the movementintentions. The device has been tested on normal subjects. To trainthe movement intention algorithm, the subject were asked to cycleand stop at prescribed time by audio command. qEEG parameterswere displayed through a monitor for realtime observation byphysical therapist. This research is part of the design process ofthe stroke therapy system which will then be tested in severalstroke patients. Therapy programs for post-stroke patients usingthis device are expected to increase mobility of the affected limbby stroke.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Event-related potentials,Mirror neurons,Movement intentions,Neurological disorders,Post stroke patients,Real-time observation,Stationary Cycling,Stroke[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]EEG,Mirror Neurons,Robotic,Stationary Cycling,Stroke[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]We say thank to the Indonesian Endowment Fund for Education (LPDP), which has provided funding for this research. Besides, the team of doctors from Cipto Mangunkusumo Hospital (RSCM) and researchers from the Indonesian Medical Education and Research Institute (IMERI) who have helped, and also to the PT Eracita Astamida for support EEG equipment.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1145/3341016.3341027[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]