Feature extraction of time series data on functional near-infrared spectroscopy and comparison of deep learning performance for classifying patients with Alzheimer's-related mild cognitive impairment: a post-hoc analysis of a diagnostic interventional trial.

Journal: European review for medical and pharmacological sciences
Published Date:

Abstract

OBJECTIVE: This study aimed to define a method of classifying patients with mild cognitive impairment caused by Alzheimer's disease by the retrieval of functional near-infrared spectroscopy (fNIRS) signal characteristics obtained during olfactory stimulation and the validation of deep learning findings.

Authors

  • J Kim
    Division of Colon and Rectal Surgery, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
  • S-C Kim
  • D Kang
  • S-Y Kim
  • R Kwon
  • D K Yon
  • J G Kim