?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Auto-Adaptive+Model+for+Longitudinal+Motor+Imagery+Decoding+in+Amyotrophic+Lateral+Sclerosis&rft.creator=Patel%2C+R&rft.creator=Bryson%2C+B&rft.creator=Jiang%2C+D&rft.creator=Demosthenous%2C+A&rft.description=Amyotrophic+Lateral+Sclerosis+(ALS)+has+been+a+grossly+misrepresented+end+user+group+when+developing+coadaptive+algorithms+for+Brain+Computer+Interfaces+(BCI).+Researchers+have+credited+this+issue+to+the+difficulty+of+progressing+disease+in+patients+with+ALS.+This+non-stationarity+reduces+accuracy+over+time.+This+paper+introduces+an+online+model%2C+usable+for+a+BCI+using+ALS+patients+data.+The+automatic+coadaptive+model+effectively+decodes+3+class+motor+imagery+(MI)+of+the+left%2C+right+hand+and+rest+while+adapting+to+address+non-stationarities+of+Electroencephalography+(EEG)+over+time+caused+by+various+factors+over+the+study+duration.+Adapting+Filter+bank+Common+Spatial+Pattern+(FBCSP)+algorithm%2C+where+we+show+it+could+enable+above+70%25+detection+of+hand+MI+in+ALS+end+users+longitudinally%2C+previously+lacking+evidence.+The+evaluation+results+demonstrate+that+the+model+achieves+average+accuracies+of+72.6%25+over+a+1-2+month+period+of+usage+involving+8+ALS+patients.+This+work+shows+the+first+auto-adaptive+model+with+ALS+patient+EEG+data+providing+a+stronger+incentive+for+further+investigation+by+setting+benchmark+models+on+longitudinal+datasets+contributing+to+the+solution+of+multiple+challenges+in+this+field.&rft.subject=adaptive%2C+automatic%2C+ALS%2C+BCI%2C+EEG%2C+motor%0D%0Aimagery&rft.publisher=IEEE&rft.date=2025-01-20&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++2024+IEEE+International+Conference+on+Systems%2C+Man%2C+and+Cybernetics+(SMC).++(pp.+pp.+1429-1433).++IEEE%3A+Kuching%2C+Malaysia.+(2025)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10205462%2F1%2FSMC24_0577_FI.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10205462%2F&rft.rights=open