Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55126, first published .
Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study

Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study

Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study

Journals

  1. Sung S, Hong S, Kim J, Kang D, Park H, Kim S. Cognitive Impairment Classification Prediction Model Using Voice Signal Analysis. Electronics 2024;13(18):3644 View
  2. Ahangaran M, Dawalatabad N, Karjadi C, Glass J, Au R, Kolachalama V. Obfuscation via pitch‐shifting for balancing privacy and diagnostic utility in voice‐based cognitive assessment. Alzheimer's & Dementia 2025;21(3) View
  3. LEE S, YOUN Y, YUN G, LEE H, KIM S, KIM I, JEONG H. Role of Voice Signal Analysis in Screening for Cognitive Impairment: A Study on Community-dwelling Older Adults. Korean Journal of Clinical Laboratory Science 2025;57(1):48 View
  4. Badal V, Tran C, Brown H, Glorioso D, Daly R, Molina A, Moore A, Bilal E, Lee E, Depp C. Audio and linguistic prediction of objective and subjective cognition in older adults: what is the role of different prompts?. Frontiers in Psychiatry 2025;16 View