ArticleMedical engineering & physics2019
Reconstruction of body motion during self-reported losses of balance in community-dwelling older adults.
Article in Medical engineering & physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed, 16 citations in OpenAlex.
- Inertial measurement units worn on the dorsum of the foot and proximal to the ankle can provide valid slip recovery measures.Gait & posture · 2025Article
- Wrist-worn voice recorders capture the circumstances and context of losses of balance among community-dwelling older adults.Journal of the American Geriatrics Society · 2025Observational
- Wearable sensing for understanding and influencing human movement in ecological contexts.Current opinion in biomedical engineering · 2023Article
- Age-related changes in gait biomechanics and their impact on the metabolic cost of walking: Report from a National Institute on Aging workshop.Experimental gerontology · 2023Review
- A survey for characterizing details of fall events experienced by lower limb prosthesis users.PloS one · 2022Article
- Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units.Sensors (Basel, Switzerland) · 2021Article
- Improved Single Inertial-Sensor-Based Attitude Estimation during Walking Using Velocity-Aided Observation.Sensors (Basel, Switzerland) · 2021Article
- Wearable Tendon Kinetics.Sensors (Basel, Switzerland) · 2020Article
- Detection of Real-World Trips in At-Fall Risk Community Dwelling Older Adults Using Wearable Sensors.Frontiers in medicine · 2020Article
- Analyzing Gait in the Real World Using Wearable Movement Sensors and Frequently Repeated Movement Paths.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Older adults experience slips, trips, stumbles, and other losses of balance (LOBs). LOBs are more common than falls and are closely linked to falls and fall-injuries. Data about real-world LOBs is limited, particularly information quantifying the prevalence, frequency, and intrinsic and extrinsic circumstances in which they occur. This paper describes a new method to identify and analyze LOBs through long-term recording of community-dwelling older adults. The approach uses wearable inertial measurement units (IMUs) on the feet, trunk and one wrist, together with a voice recorder for immediate, time-stamped self-reporting of the type, context and description of LOBs. Following identification of an LOB in the voice recording, concurrent IMU data is used to estimate foot paths and body motions, and to create body animations to analyze the event. In this pilot study, three older adults performed a long-term monitoring study, with four weeks recording LOBs by voice and two concurrent weeks wearing IMUs. This report presents a series of LOB cases to illustrate the proposed method, and how it can contribute to interpretation of the causes and contexts of the LOBs. The context and timing information from the voice records was critical to the process of finding and analyzing LOB events within the voluminous sensor data record, and included much greater detail, specificity, and nuance than past diary or smartphone reporting.
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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.