ArticleSensors (Basel, Switzerland)2018
Motor Planning Error: Toward Measuring Cognitive Frailty in Older Adults Using Wearables.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed.
- Application of Wearables to Facilitate Virtually Supervised Intradialytic Exercise for Reducing Depression Symptoms.Sensors (Basel, Switzerland) · 2020Trial
- Trial
- Digital Health Approaches to Geriatric Rehabilitation: A Narrative Paper.Annals of rehabilitation medicine · 2026Article
- Remote Monitoring of Instrumental Activities of Daily Living Reveals Intrinsic Capacity in Older Adults.Gerontology · 2026Article
- Cognitive Impairment Is Associated with Disrupted Motor Planning in Older Adults.Neuro-degenerative diseases · 2026Article
- Wearable Sensor Technologies and Gait Analysis for Early Detection of Dementia: Trends and Future Directions.Sensors (Basel, Switzerland) · 2025Review
- Harnessing Digital Health to Objectively Assess Functional Performance in Veterans with Chronic Obstructive Pulmonary Disease.Gerontology · 2022Article
- Free-Living Standing Activity as Assessed by Seismic Accelerometers and Cognitive Function in Community-Dwelling Older Adults: The MIND Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- Cognitive Frailty: An Update.Frontiers in psychology · 2021Review
- Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review.Frontiers in pharmacology · 2019Article
- Instrumented Trail-Making Task: Application of Wearable Sensor to Determine Physical Frailty Phenotypes.Gerontology · 2019Article
- Hemodialysis Impact on Motor Function beyond Aging and Diabetes-Objectively Assessing Gait and Balance by Wearable Technology.Sensors (Basel, Switzerland) · 2018Article
- Toward Smart Footwear to Track Frailty Phenotypes-Using Propulsion Performance to Determine Frailty.Sensors (Basel, Switzerland) · 2018Article
- Wearable Sensors and the Assessment of Frailty among Vulnerable Older Adults: An Observational Cohort Study.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Practical tools which can be quickly administered are needed for measuring subtle changes in cognitive-motor performance over time. Frailty together with cognitive impairment, or 'cognitive frailty', are shown to be strong and independent predictors of cognitive decline over time. We have developed an interactive instrumented trail-making task (iTMT) platform, which allows quantification of motor planning error (MPE) through a series of ankle reaching tasks. In this study, we examined the accuracy of MPE in identifying cognitive frailty in older adults. Thirty-two older adults (age = 77.3 ± 9.1 years, body-mass-index = 25.3 ± 4.7 kg/m², female = 38%) were recruited. Using either the Mini-Mental State Examination or Montreal Cognitive Assessment (MoCA), 16 subjects were classified as cognitive-intact and 16 were classified as cognitive-impaired. In addition, 12 young-healthy subjects (age = 26.0 ± 5.2 years, body-mass-index = 25.3 ± 3.9 kg/m², female = 33%) were recruited to establish a healthy benchmark. Subjects completed the iTMT, using an ankle-worn sensor, which transforms ankle motion into navigation of a computer cursor. The iTMT task included reaching five indexed target circles (including numbers 1-to-3 and letters A&B placed in random order) on the computer-screen by moving the ankle-joint while standing. The ankle-sensor quantifies MPE through analysis of the pattern of ankle velocity. MPE was defined as percentage of time deviation between subject's maximum ankle velocity and the optimal maximum ankle velocity, which is halfway through the reaching pathway. Data from gait tests, including single task and dual task walking, were also collected to determine cognitive-motor performance. The average MPE in young-healthy, elderly cognitive-intact, and elderly cognitive-impaired groups was 11.1 ± 5.7%, 20.3 ± 9.6%, and 34.1 ± 4.2% (
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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.