ArticleSensors (Basel, Switzerland)2022
Kinematic Analysis of 360° Turning in Stroke Survivors Using Wearable Motion Sensors.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 20 citations in OpenAlex.
- Task-Based Mapping of Compensatory Strategies and Movement Kinematics After Stroke: A Systematic Scoping Review.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026Article
- Is the 360 Degree Turn Test a Safe and Reliable Tool for Post-Stroke Tele-Assessment?International journal of telerehabilitation · 2026Article
- Assessing the Validity and Reliability of a Markerless Motion Capture System for Sagittal-Plane Gait Range of Motion.Cureus · 2025Article
- Assessment of Elbow Proprioception with Inertial Measurement Units-Validity and Reliability Study.Sensors (Basel, Switzerland) · 2025Article
- Dual Tasking Affects the Outcomes of Instrumented Timed up and Go, Sit-to-Stand, Balance, and 10-Meter Walk Tests in Stroke Survivors.Sensors (Basel, Switzerland) · 2024Article
- Validity of an android device for assessing mobility in people with chronic stroke and hemiparesis: a cross-sectional study.Journal of neuroengineering and rehabilitation · 2024Article
- Post-Stroke Functional Changes: In-Depth Analysis of Clinical Tests and Motor-Cognitive Dual-Tasking Using Wearable Sensors.Bioengineering (Basel, Switzerland) · 2024Article
- Therapists and patients perceptions of a mixed reality system designed to improve trunk control and upper extremity function.Scientific reports · 2024Article
- Beyond timing and step counting in 360° turning-in-place assessment: a scoping review.Biomedical engineering online · 2024Article
- Fall Risk Assessment in Stroke Survivors: A Machine Learning Model Using Detailed Motion Data from Common Clinical Tests and Motor-Cognitive Dual-Tasking.Sensors (Basel, Switzerland) · 2024Article
- Article
- Spanish consensus of occupational therapists on upper limb assessment tools in stroke.The British journal of occupational therapy · 2023Article
- Assessment of Passive Upper Limb Stiffness and Its Function in Post-Stroke Individuals Wearing an Inertial Sensor during the Pendulum Test.Sensors (Basel, Switzerland) · 2023Article
- Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients.European journal of physical and rehabilitation medicine · 2023Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA stroke often bequeaths surviving patients with impaired neuromusculoskeletal systems subjecting them to increased risk of injury (e.g., due to falls) even during activities of daily living. The risk of injuries to such individuals can be related to alterations in their movement. Using inertial sensors to record the digital biomarkers during turning could reveal the relevant turning alterations.
objectivesIn this study, movement alterations in stroke survivors (SS) were studied and compared to healthy individuals (HI) in the entire turning task due to its requirement of synergistic application of multiple bodily systems.
methodsThe motion of 28 participants (14 SS, 14 HI) during turning was captured using a set of four Inertial Measurement Units, placed on their sternum, sacrum, and both shanks. The motion signals were segmented using the temporal and spatial segmentation of the data from the leading and trailing shanks. Several kinematic parameters, including the range of motion and angular velocity of the four body segments, turning time, the number of cycles involved in the turning task, and portion of the stance phase while turning, were extracted for each participant.
resultsThe results of temporal processing of the data and comparison between the SS and HI showed that SS had more cycles involved in turning, turn duration, stance phase, range of motion in flexion-extension, and lateral bending for sternum and sacrum (
conclusionsThe changes in upper/lower body segments of SS could be adequately identified and quantified by IMU sensors. The identified kinematic changes in SS, such as the lower flexion-extension angular velocity of the four body segments and larger lateral bending range of motion in sternum and sacrum compared to HI in turning, could be due to the lack of proper core stability and effect of turning on vestibular system of the participants. This research could facilitate the development of a targeted and efficient rehabilitation program focusing on the affected aspects of turning movement for the stroke community.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.