Determining the Number of Clusters in Clinical Response of TMS Treatment using Hyperdimensional Computing

• Published in: Journal of signal processing systems Vol. 96; no. 8; pp. 509 - 523
• Main Authors: Ge, Lulu, McInnes, Aaron N., Widge, Alik S., Parhi, Keshab K.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2024; Springer Nature B.V
• Subjects: Algorithms; Circuits and Systems; Clustering; Computation; Computer Imaging; Electrical Engineering; Engineering; Harnesses; Image Processing and Computer Vision; Pattern Recognition; Pattern Recognition and Graphics; Signal,Image and Speech Processing; Transcranial magnetic stimulation; Vision; Transcranial magnetic stimulation (TMS); Latent class mixed modeling (LCMM) and clustering; Hyperdimensional computing (HDC); Vector symbolic architecture (VSA); Major depressive disorder (MDD)

This paper addresses clustering of clinical response of subjects with major depressive disorder (MDD) after they are treated with transcranial magnetic stimulation (TMS). Specifically, we present an approach to determine the number of clusters using hyperdimensional computing (HDC). In the clinic, M...