Trial reportJournal of neuroengineering and rehabilitation2018
A novel sensor-based assessment of lower limb spasticity in children with cerebral palsy.
Trial report in Journal of neuroengineering and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Technology-assisted assessment of spasticity: a systematic review.Journal of neuroengineering and rehabilitation · 2022Pooled it
- Recent State of Wearable IMU Sensors Use in People Living with Spasticity: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Inertial Sensor-Based Lower Limb Joint Kinematics: A Methodological Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- A scoping review of the application scope of digital technologies in lower limb rehabilitation and balance training for children with cerebral palsy.Frontiers in pediatrics · 2026Review
- Development and preliminary validation of a multimodal instrument for spasticity quantification using a composite index: A pilot study.PloS one · 2026Article
- Wearable sensors in paediatric neurology.Developmental medicine and child neurology · 2025Review
- Tracking spasticity dynamics in hemiparetic stroke survivors following cyproheptadine administration: a pilot study using controlled varying tendon indentation depths.Frontiers in stroke · 2025Article
- The Role of Botulinum Toxin Type-A in Spasticity: Research Trends from a Bibliometric Analysis.Toxins · 2024Review
- Quantitative assessment of spasticity: a narrative review of novel approaches and technologies.Frontiers in neurology · 2023Review
- Article
- Limb accelerations during sleep are related to measures of strength, sensation, and spasticity among individuals with spinal cord injury.Journal of neuroengineering and rehabilitation · 2022Article
- Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke.Sensors (Basel, Switzerland) · 2022Article
- Inertia Sensors for Measuring Spasticity of the Ankle Plantarflexors Using the Modified Tardieu Scale-A Proof of Concept Study.Sensors (Basel, Switzerland) · 2022Article
- A Wearable System Based on Multiple Magnetic and Inertial Measurement Units for Spine Mobility Assessment: A Reliability Study for the Evaluation of Ankylosing Spondylitis.Sensors (Basel, Switzerland) · 2022Article
- An EEG-based asynchronous MI-BCI system to reduce false positives with a small number of channels for neurorehabilitation: A pilot study.Frontiers in neurorobotics · 2022Article
- Accurate and objective determination of myalgic encephalomyelitis/chronic fatigue syndrome disease severity with a wearable sensor.Journal of translational medicine · 2020Article
- Design, Validity, and Reliability of a New Test, Based on an Inertial Measurement Unit System, for Measuring Cervical Posture and Motor Control in Children with Cerebral Palsy.Diagnostics (Basel, Switzerland) · 2020Article
- Analysis of Machine Learning-Based Assessment for Elbow Spasticity Using Inertial Sensors.Sensors (Basel, Switzerland) · 2020Article
- Concurrent Validity and Reliability of an Inertial Measurement Unit for the Assessment of Craniocervical Range of Motion in Subjects with Cerebral Palsy.Diagnostics (Basel, Switzerland) · 2020Article
- Remote Assessment of Post-Stroke Elbow Function Using Internet-Based Telerobotics: A Proof-of-Concept Study.Frontiers in neurology · 2020Article
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
backgroundTo provide effective interventions for spasticity, accurate and reliable spasticity assessment is essential. For the assessment, the Modified Tardieu Scale (MTS) has been widely used owing to its simplicity and convenience. However, it has poor or moderate accuracy and reliability.
methodsWe proposed a novel inertial measurement unit (IMU)-based MTS assessment system to improve the accuracy and reliability of the MTS itself. The proposed system consists of a joint angle calculation algorithm, a function to detect abnormal muscle reaction (a catch and clonus), and a visual biofeedback mechanism. Through spastic knee and ankle joint assessment, the proposed IMU-based MTS assessment system was compared with the conventional MTS assessment system in 28 children with cerebral palsy by two raters.
resultsThe results showed that the proposed system has good accuracy (root mean square error < 3.2°) and test-retest and inter-rater reliabilities (ICC > 0.8), while the conventional MTS system has poor or moderate reliability. Moreover, we found that the deteriorated reliability of the conventional MTS system comes from its goniometric measurement as well as from irregular passive stretch velocity.
conclusionsThe proposed system, which is clinically relevant, can significantly improve the accuracy and reliability of the MTS in lower limbs for children with cerebral palsy.
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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 OpenQuestion graph.