Case-Based Lessons on Remote Patient Monitoring in Neurology Using Consumer-Grade Wearables
Abstract
Consumer-grade wearables offer promising opportunities for remote patient monitoring (RPM) in neurological disorders, yet their clinical application remains uncertain. In this exploratory analysis, we draw on prospective observational trials using smartwatches in patients with multiple sclerosis, myasthenia gravis, chronic inflammatory demyelinating polyneuropathy, and migraine, who were monitored for 6 to 24 months. Through detailed clinical case narratives, we illustrate both the potential and the limitations of RPM in neurology. Wearable-generated data successfully captured early, clinically meaningful changes, such as the onset of a myasthenic exacerbation, and supported patient engagement in identifying individual triggers, including for migraine. However, external influences such as holidays, infections, or mobility aid use confounded activity signals, underscoring the importance of contextual interpretation. While wearables can enhance neurological care, their integration into clinical workflows is challenged by limited validation and interpretability. Realising their potential requires robust validation in clinical settings and the development of interoperable RPM platforms supported by close collaboration between clinicians, engineers, and patients.
How strong is the evidence?
Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
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