ArticleEFORT open reviews2016
Evaluating physical function and activity in the elderly patient using wearable motion sensors.
Article in EFORT open reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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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
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Sensor for sports applications: monitoring and assessment of intrinsic capacity enhancement in older adults during brisk walking.Frontiers in public health · 2025Pooled it
- Wearable Inertial Sensors to Assess Standing Balance: A Systematic Review.Sensors (Basel, Switzerland) · 2019Pooled it
- Step count as a digital mobility outcome in orthopedics and orthopedic trauma surgery: a scoping review.EFORT open reviews · 2026Review
- Towards a comprehensive digital wearable tracking system of the patient recovery journey after extremity trauma: a narrative review.EFORT open reviews · 2025Review
- Patient Recruitment Characteristics for Wearable-Sensor-Based Outcome Assessment in Trauma Surgery.Journal of clinical medicine · 2025Article
- Wearable Sensors in Other Medical Domains with Application Potential for Orthopedic Trauma Surgery-A Narrative Review.Journal of clinical medicine · 2024Review
- Evaluation of Upper Body and Lower Limbs Kinematics through anSensors (Basel, Switzerland) · 2023Article
- Patterns of physical activity over time in older patients rehabilitating after hip fracture surgery: a preliminary observational study.BMC geriatrics · 2023Observational
- Best practice in digital orthopaedics.EFORT open reviews · 2023Review
- Toward Enhanced Clinical Decision Support for Patients Undergoing a Hip or Knee Replacement: Focus Group and Interview Study With Surgeons.JMIR perioperative medicine · 2023Article
- Head movement kinematics are altered during balance stability exercises in individuals with vestibular schwannoma.Journal of neuroengineering and rehabilitation · 2022Article
- The grade of instability in fragility fractures of the pelvis correlates with impaired early mobilization.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022Observational
- Use of Wearable Technology to Measure Activity in Orthopaedic Trauma Patients: A Systematic Review.Indian journal of orthopaedics · 2022Review
- Ability of Wearable Accelerometers-Based Measures to Assess the Stability of Working Postures.International journal of environmental research and public health · 2022Article
- Human activity recognition of children with wearable devices using LightGBM machine learning.Scientific reports · 2022Article
- Day-to-Day Variability and Year-to-Year Reproducibility of Accelerometer-Measured Free-Living Sit-to-Stand Transitions Volume and Intensity among Community-Dwelling Older Adults.Sensors (Basel, Switzerland) · 2021Article
- Review of Wearable Devices and Data Collection Considerations for Connected Health.Sensors (Basel, Switzerland) · 2021Review
- Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors.Aging clinical and experimental research · 2021Article
- Finding NEEMO: towards organizing smart digital solutions in orthopaedic trauma surgery.EFORT open reviews · 2020Review
- Smoothness of Gait in Healthy and Cognitively Impaired Individuals: A Study on Italian Elderly Using Wearable Inertial Sensor.Sensors (Basel, Switzerland) · 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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wearable sensors, in particular inertial measurement units (IMUs) allow the objective, valid, discriminative and responsive assessment of physical function during functional tests such as gait, stair climbing or sit-to-stand.Applied to various body segments, precise capture of time-to-task achievement, spatiotemporal gait and kinematic parameters of demanding tests or specific to an affected limb are the most used measures.In activity monitoring (AM), accelerometry has mainly been used to derive energy expenditure or general health related parameters such as total step counts.In orthopaedics and the elderly, counting specific events such as stairs or high intensity activities were clinimetrically most powerful; as were qualitative parameters at the 'micro-level' of activity such as step frequency or sit-stand duration.Low cost and ease of use allow routine clinical application but with many options for sensors, algorithms, test and parameter definitions, choice and comparability remain difficult, calling for consensus or standardisation. Cite this article: Grimm B, Bolink S. Evaluating physical function and activity in the elderly patient using wearable motion sensors.
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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.