ArticleWestern journal of nursing research2017
Using Embedded Sensors in Independent Living to Predict Gait Changes and Falls.
Article in Western journal of nursing research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05379504 (Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology), which is not on this map. Cited by 17 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.
Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology
Who cites it
17 citing papers in PubMed.
- Linguistic summarization of in-home sensor data.Journal of biomedical informatics · 2019Trial
- Randomized Trial of Intelligent Sensor System for Early Illness Alerts in Senior Housing.Journal of the American Medical Directors Association · 2017Trial
- Markerless Motion Capture Parameters Associated with Fall Risk or Frailty: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility Study.JMIR research protocols · 2025Article
- Enhancing Eldercare: Assessing Clinician's Perception of Linguistic Summaries in Health Monitoring Alert Systems.Applied clinical informatics · 2025Article
- A pilot observational study of gait changes over time before and after an unplanned hospital visit in long-term care residents with dementia.BMC geriatrics · 2023Observational
- Development and Testing of a Daily Activity Recognition System for Post-Stroke Rehabilitation.Sensors (Basel, Switzerland) · 2023Article
- Change in gait speed and fall risk among community-dwelling older adults with and without mild cognitive impairment: a retrospective cohort analysis.BMC geriatrics · 2023Article
- Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology.Sensors (Basel, Switzerland) · 2023Article
- Stepping Beyond Assessment: Fall Risk Prediction Models Among Older Adults from Cumulative Change in Gait Parameter Estimates.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Risk factors of falls in elderly patients with visual impairment.Frontiers in public health · 2022Article
- Editorial: Robots and Aging.The journal of nutrition, health & aging · 2021Article
- E-Textiles for Healthy Ageing.Sensors (Basel, Switzerland) · 2019Review
- Technology-Enabled Assessment of Functional Health.IEEE reviews in biomedical engineering · 2019Review
- Assessment of Fall Characteristics From Depth Sensor Videos.Journal of gerontological nursing · 2017Article
- Human-centered approaches that integrate sensor technology across the lifespan: Opportunities and challenges.Nursing outlookArticle
- Personalized Digital Health Beyond the Pandemic.The journal for nurse practitioners : JNPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
This study explored using Big Data, totaling 66 terabytes over 10 years, captured from sensor systems installed in independent living apartments to predict falls from pre-fall changes in residents' Kinect-recorded gait parameters. Over a period of 3 to 48 months, we analyzed gait parameters continuously collected for residents who actually fell ( n = 13) and those who did not fall ( n = 10). We analyzed associations between participants' fall events ( n = 69) and pre-fall changes in in-home gait speed and stride length ( n = 2,070). Preliminary results indicate that a cumulative change in speed over time is associated with the probability of a fall ( p < .0001). The odds of a resident falling within 3 weeks after a cumulative change of 2.54 cm/s is 4.22 times the odds of a resident falling within 3 weeks after no change in in-home gait speed. Results demonstrate using sensors to measure in-home gait parameters associated with the occurrence of future falls.
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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.