SynthesisZeitschrift fur Gerontologie und Geriatrie2013
Fall detection with body-worn sensors : a systematic review.
Synthesis in Zeitschrift fur Gerontologie und Geriatrie, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.
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
48 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Accuracy of wearable devices in predicting falls in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Usefulness of Mobile Devices in the Diagnosis and Rehabilitation of Patients with Dizziness and Balance Disorders: A State of the Art Review.Clinical interventions in aging · 2020Pooled it
- Predicting geriatric falls following an episode of emergency department care: a systematic review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2014Pooled it
- Intelligent fall risk prediction and real-time warning system for elderly care based on multimodal deep learning and wearable sensor fusion.Scientific reports · 2026Article
- Exploring the Feasibility of Fall Detection Using Bluetooth Low Energy Channel Sounding in Residential Environments.Sensors (Basel, Switzerland) · 2026Article
- IoT-based bed and ventilator management system during the COVID-19 pandemic.Scientific reports · 2025Article
- IMU-Based quantitative assessment of stroke from gait.Scientific reports · 2025Article
- Comparison of professional and everyday wearable technology at different body positions in terms of recording gait perturbations.PLOS digital health · 2024Article
- A Lightweight Subgraph-Based Deep Learning Approach for Fall Recognition.Sensors (Basel, Switzerland) · 2022Article
- Near-Fall Detection in Unexpected Slips during Over-Ground Locomotion with Body-Worn Sensors among Older Adults.Sensors (Basel, Switzerland) · 2022Article
- Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey.Sensors (Basel, Switzerland) · 2022Article
- A survey for characterizing details of fall events experienced by lower limb prosthesis users.PloS one · 2022Article
- Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.Sensors (Basel, Switzerland) · 2020Article
- The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review.Sensors (Basel, Switzerland) · 2020Review
- Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics.International journal of environmental research and public health · 2020Review
- Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study.Journal of medical Internet research · 2020Article
- A Narrative Review on Contemporary and Emerging Uses of Inertial Sensing in Occupational Ergonomics.International journal of industrial ergonomics · 2020Article
- Elderly Fall Detection Systems: A Literature Survey.Frontiers in robotics and AI · 2020Review
- eHomeSeniors Dataset: An Infrared Thermal Sensor Dataset for Automatic Fall Detection Research.Sensors (Basel, Switzerland) · 2019Article
- Classifying Diverse Physical Activities Using "Smart Garments".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
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsFalls among older people remain a major public health challenge. Body-worn sensors are needed to improve the understanding of the underlying mechanisms and kinematics of falls. The aim of this systematic review is to assemble, extract and critically discuss the information available in published studies, as well as the characteristics of these investigations (fall documentation and technical characteristics).
methodsThe searching of publically accessible electronic literature databases for articles on fall detection with body-worn sensors identified a collection of 96 records (33 journal articles, 60 conference proceedings and 3 project reports) published between 1998 and 2012. These publications were analysed by two independent expert reviewers. Information was extracted into a custom-built data form and processed using SPSS (SPSS Inc., Chicago, IL, USA).
resultsThe main findings were the lack of agreement between the methodology and documentation protocols (study, fall reporting and technical characteristics) used in the studies, as well as a substantial lack of real-world fall recordings. A methodological pitfall identified in most articles was the lack of an established fall definition. The types of sensors and their technical specifications varied considerably between studies.
conclusionLimited methodological agreement between sensor-based fall detection studies using body-worn sensors was identified. Published evidence-based support for commercially available fall detection devices is still lacking. A worldwide research group consensus is needed to address fundamental issues such as incident verification, the establishment of guidelines for fall reporting and the development of a common fall definition.
Indexed as
Identifiers
24271251What 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.