ArticleSensors (Basel, Switzerland)2020
Implementation of Wearable Sensing Technology for Movement: Pushing Forward into the Routine Physical Rehabilitation Care Field.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 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
60 citing papers in PubMed, 102 citations in OpenAlex.
- MediaPipe-Based Activity Analysis by Healthcare Professionals: Method Development and Technology Acceptance-A Pilot Study.Sensors (Basel, Switzerland) · 2026Article
- Advancing Neurorehabilitation and Recovery Through Human Movement Quantification via Wearable Sensing.Neurorehabilitation and neural repair · 2026Article
- Therapist perspectives on the clinical utility of hand performance information from at-home egocentric video in outpatient neurorehabilitation: a multi-methods evaluation study.BMC medical informatics and decision making · 2026Article
- Use of Wearable Sensors to Measure Improvements in Real World Upper Extremity Activity After Brachial Plexus Reconstruction.The Journal of hand surgery · 2026Article
- Quantifying Upper Limb Movement During Naturalistic Driving: A Clinically Informed Ecological Approach.Sensors (Basel, Switzerland) · 2026Article
- Postural Education in School-Aged Populations: Development and Usability Evaluation of a Mobile Biofeedback App (EduBack).JMIR human factors · 2026Article
- Relationships between arm and leg real-life activity and clinical assessments in individuals with disabling spasticity after stroke.Frontiers in stroke · 2026Article
- Physical activity in professional training of physiotherapists.Annals of medicine · 2025Article
- A large harmonized upper and lower limb accelerometry dataset: A resource for rehabilitation scientists.Data in brief · 2025Article
- Advancing Wrist-Worn Accelerometry for Measurement of Infant Motor Behavior.Developmental psychobiology · 2025Article
- Replication of Sensor-Based Categorization of Upper-Limb Performance in Daily Life in People Post Stroke and Generalizability to Other Populations.Sensors (Basel, Switzerland) · 2025Article
- Advancing stroke rehabilitation: the role of wearable technology according to research experts.Disability and rehabilitation. Assistive technology · 2025Article
- Hidden Markov model-based similarity measure (HMM-SM) for gait quality assessment of lower-limb prosthetic users using inertial sensor signals.Journal of neuroengineering and rehabilitation · 2025Article
- Wearable sensors for measuring spontaneous upper limb use in children with unilateral cerebral palsy and typical development.Journal of neuroengineering and rehabilitation · 2025Observational
- High-Intensity Gait Training for Patients After Stroke: A Feasibility Study.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2025Article
- Monitoring of child-specific activities in ambulatory children with and without developmental disabilities.BMC pediatrics · 2025Article
- Construct validity and responsiveness of clinical upper limb measures and sensor-based arm use within the first year after stroke: a longitudinal cohort study.Journal of neuroengineering and rehabilitation · 2025Observational
- Article
- Neural control meets biomechanics in the motor assessment of neurological disorders: a narrative review.Frontiers in neural circuits · 2025Review
- Perspectives of key stakeholders on integrating wearable sensor technology into rehabilitation care: a mixed-methods analysis.Frontiers in digital health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
While the promise of wearable sensor technology to transform physical rehabilitation has been around for a number of years, the reality is that wearable sensor technology for the measurement of human movement has remained largely confined to rehabilitation research labs with limited ventures into clinical practice. The purposes of this paper are to: (1) discuss the major barriers in clinical practice and available wearable sensing technology; (2) propose benchmarks for wearable device systems that would make it feasible to implement them in clinical practice across the world and (3) evaluate a current wearable device system against the benchmarks as an example. If we can overcome the barriers and achieve the benchmarks collectively, the field of rehabilitation will move forward towards better movement interventions that produce improved function not just in the clinic or lab, but out in peoples' homes and communities.
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.