SynthesisSports medicine (Auckland, N.Z.)2018
Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic Review.
Synthesis in Sports medicine (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 12 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
76 citing papers in PubMed, 12 syntheses or guidelines pooled it.
- Brain-derived signals related to ball kicking movement in soccer and technologies employed: a systematic literature review with gap map.BMC sports science, medicine & rehabilitation · 2026Pooled it
- Meta-analysis of the quantitative assessment of lower extremity motor function in elderly individuals based on objective detection.Journal of neuroengineering and rehabilitation · 2024Pooled it
- Transparency as a Means to Analyse the Impact of Inertial Sensors on Users during the Occupational Ergonomic Assessment: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- The Role of Multi-Sensor Measurement in the Assessment of Movement Quality: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2023Pooled it
- Use, Validity and Reliability of Inertial Movement Units in Volleyball: Systematic Review of the Scientific Literature.Sensors (Basel, Switzerland) · 2023Pooled it
- Accelerometer-Based Identification of Fatigue in the Lower Limbs during Cyclical Physical Exercise: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Recent Machine Learning Progress in Lower Limb Running Biomechanics With Wearable Technology: A Systematic Review.Frontiers in neurorobotics · 2022Pooled it
- Wearables and Internet of Things (IoT) Technologies for Fitness Assessment: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Validity and Reliability of Mobile Applications for Assessing Strength, Power, Velocity, and Change-of-Direction: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Validity and Reliability of the Inertial Measurement Unit for Barbell Velocity Assessments: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Inertial Sensor-Based Lower Limb Joint Kinematics: A Methodological Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2019Pooled it
- Trial
- Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System.Sensors (Basel, Switzerland) · 2019Trial
- Sensor-Based Movement Quality Assessment and Biofeedback for Rehabilitation Exercise: A Scoping Review with Implications for Home-Based and Remote Rehabilitation.Healthcare (Basel, Switzerland) · 2026Review
- Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.European journal of sport science · 2026Article
- Adaptive ensemble sizing with reinforcement learning for real-time ankle injury detection in wearable sensor systems.BMC sports science, medicine & rehabilitation · 2026Article
- A wearable IMU-based framework for daily physical activity recognition and energy expenditure level classification in university students.Frontiers in public health · 2026Article
- Correspondence between motion sensor kinematics and notational analysis of scanning in field-based football gameplay.Frontiers in psychology · 2026Article
- Precision of an Inertial System to Evaluate the Finger Tapping Test in Women with Fibromyalgia.Sports (Basel, Switzerland) · 2025Article
16 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
backgroundAnalysis of lower limb exercises is traditionally completed with four distinct methods: (1) 3D motion capture; (2) depth-camera-based systems; (3) visual analysis from a qualified exercise professional; and (4) self-assessment. Each method is associated with a number of limitations.
objectiveThe aim of this systematic review is to synthesise and evaluate studies which have investigated the capacity for inertial measurement unit (IMU) technologies to assess movement quality in lower limb exercises. DATA SOURCES: A systematic review of studies identified through the databases of PubMed, ScienceDirect and Scopus was conducted. STUDY ELIGIBILITY CRITERIA: Articles written in English and published in the last 10 years which investigated an IMU system for the analysis of repetition-based targeted lower limb exercises were included. STUDY APPRAISAL AND SYNTHESIS
methodsThe quality of included studies was measured using an adapted version of the STROBE assessment criteria for cross-sectional studies. The studies were categorised into three groupings: exercise detection, movement classification or measurement validation. Each study was then qualitatively summarised.
resultsFrom the 2452 articles that were identified with the search strategies, 47 papers are included in this review. Twenty-six of the 47 included studies were deemed as being of high quality.
conclusionsWearable inertial sensor systems for analysing lower limb exercises is a rapidly growing field of research. Research over the past 10 years has predominantly focused on validating measurements that the systems produce and classifying users' exercise quality. There have been very few user evaluation studies and no clinical trials in this field to date.
Indexed as
Identifiers
29476427What 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.