Detecting isolated REM sleep behavior disorder at home using a lower-back wearable sensor - Top-Institutions - MDSpire

Detecting isolated REM sleep behavior disorder at home using a lower-back wearable sensor

  • By

  • Tal Tzfoni

  • Riva Tauman

  • Jeffrey M. Hausdorff

  • Yael Hanein

  • Anat Mirelman

  • February 5, 2026

  • 0 min

Share

Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    Montreal Neurological Institute and Hospital, McGill University
    Montreal Neurological Institute and Hospital, McGill University

    Montreal, QC

    Key Differentiators

    • Neurology
    • Sleep Medicine
    • Neurodegenerative Diseases

  • #2

    University of California, San Francisco (UCSF) Weill Institute for Neurosciences
    University of California, San Francisco (UCSF) Weill Institute for Neurosciences

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Sleep Medicine
    • Movement Disorders

  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neurology
    • Sleep Medicine
    • Movement Disorders

  • #4

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Sleep Medicine
    • Neurodegeneration

  • #5

    University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine

    Philadelphia, PA

    Key Differentiators

    • Neurology
    • Sleep Medicine
    • Movement Disorders

Original Source(s)

Detecting isolated REM sleep behavior disorder at home using a lower-back wearable sensor

  • by Tal Tzfoni, Riva Tauman, Jeffrey M. Hausdorff, Yael Hanein, Anat Mirelman

  • February 5, 2026

Related Content

AI digital-twin ecosystem translating gut-microbiome–neuroimmune signals into precision sleep–mood interventions

Insomnia May Raise Ischemic Stroke Risk

Systematic review found stronger stroke associations when insomnia was clinically diagnosed

AI Scribes Lag Clinicians on Note Quality

A VHA study across 11 vendors finds AI-generated primary care notes score lower than clinician-written notes, with the largest deficits in thoroughness, organization, and usefulness