ReviewAnnals of translational medicine2025
Wearable devices in neurological disorders: a narrative review of status quo and perspectives.
Review in Annals of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026Review
- Phase-Specific Biomechanical Reorganization After Robotic Rehabilitation in Patients with Stroke: A Sensor-Derived Waveform Analysis.Life (Basel, Switzerland) · 2026Article
- Sensor-Derived Trunk Stability and Gait Recovery: Evidence of Neuromechanical Associations Following Intensive Robotic Rehabilitation.Sensors (Basel, Switzerland) · 2026Article
- AI-based predictive biomarkers for chronic neurological diseases: the rAIdD prospective, multicenter, observational study protocol.Frontiers in neurology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Neurological disorders are a group of diseases involving motor, sensory, cognitive, and autonomic functions, among which stroke, Alzheimer's disease (AD), and Parkinson's disease (PD) are prevalent. Their management, especially in conditions with chronic courses or long-term sequelae, remains a substantial unmet need. With the growing comprehension of neuroscience, the development of digital technology, and the rising demand for quality of life, wearable devices offer a promising solution for disease management. The review aimed to evaluate the application and prospect of wearable devices in neurological disorders. Methods: We conducted the review by searching papers on the application of wearable devices and wearable technology in neurology and neurological disorders using multiple databases. We summarized the present development status of wearable devices, and outlined the potential value and future direction for further research. Key Content and Findings: Existing wearable devices for neurological diseases can be applied to diagnosis and follow-up, as an electronic biomarker detector capturing subtle and objective changes in motor, sensory, and cognitive function. The devices can also be utilized for treatment and rehabilitation, mainly through exoskeletons and brain-computer interface. The application of wearable devices in neurology currently faces several critical limitations, including technical bottlenecks in the detection of fine motor and sensory functions, a lack of industry standards, and a limited sample size. Conclusions: This review demonstrates the potential of wearable technology in people with neurological disorders, enabling disease management and clinical trials outside clinical settings in the future. Nevertheless, further research is required to develop lighter, more user-friendly devices with various functions. It is believed that with increasing demand and technical support, wearable devices would have a promising range of applications.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.