659 related articles for article (PubMed ID: 31756666)
1. Wearable inertial sensors to measure gait and posture characteristic differences in older adult fallers and non-fallers: A scoping review.
Patel M; Pavic A; Goodwin VA
Gait Posture; 2020 Feb; 76():110-121. PubMed ID: 31756666
[TBL] [Abstract][Full Text] [Related]
2. Differences in walking-to-turning characteristics between older adult fallers and nonfallers: a prospective and observational study using wearable inertial sensors.
Yeh TT; Liang PJ; Lee SC
Int J Rehabil Res; 2022 Mar; 45(1):53-57. PubMed ID: 34860731
[TBL] [Abstract][Full Text] [Related]
3. Dual-Task Elderly Gait of Prospective Fallers and Non-Fallers: A Wearable-Sensor Based Analysis.
Howcroft J; Lemaire ED; Kofman J; McIlroy WE
Sensors (Basel); 2018 Apr; 18(4):. PubMed ID: 29690496
[TBL] [Abstract][Full Text] [Related]
4. Timed Up and Go and Six-Minute Walking Tests with Wearable Inertial Sensor: One Step Further for the Prediction of the Risk of Fall in Elderly Nursing Home People.
Buisseret F; Catinus L; Grenard R; Jojczyk L; Fievez D; Barvaux V; Dierick F
Sensors (Basel); 2020 Jun; 20(11):. PubMed ID: 32516995
[TBL] [Abstract][Full Text] [Related]
5. Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People.
Qiu H; Rehman RZU; Yu X; Xiong S
Sci Rep; 2018 Nov; 8(1):16349. PubMed ID: 30397282
[TBL] [Abstract][Full Text] [Related]
6. A Pilot Study to Validate a Wearable Inertial Sensor for Gait Assessment in Older Adults with Falls.
García-Villamil G; Neira-Álvarez M; Huertas-Hoyas E; Ramón-Jiménez A; Rodríguez-Sánchez C
Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34202786
[TBL] [Abstract][Full Text] [Related]
7. Inertial Sensor Reliability and Validity for Static and Dynamic Balance in Healthy Adults: A Systematic Review.
Baker N; Gough C; Gordon SJ
Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372404
[TBL] [Abstract][Full Text] [Related]
8. Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.
Zhou Y; Zia Ur Rehman R; Hansen C; Maetzler W; Del Din S; Rochester L; Hortobágyi T; Lamoth CJC
Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32717848
[TBL] [Abstract][Full Text] [Related]
9. Fall risk assessment in the wild: A critical examination of wearable sensor use in free-living conditions.
Nouredanesh M; Godfrey A; Howcroft J; Lemaire ED; Tung J
Gait Posture; 2021 Mar; 85():178-190. PubMed ID: 33601319
[TBL] [Abstract][Full Text] [Related]
10. Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis.
Tulipani LJ; Meyer B; Larie D; Solomon AJ; McGinnis RS
Gait Posture; 2020 Jul; 80():361-366. PubMed ID: 32615409
[TBL] [Abstract][Full Text] [Related]
11. Prospective Fall-Risk Prediction Models for Older Adults Based on Wearable Sensors.
Howcroft J; Kofman J; Lemaire ED
IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1812-1820. PubMed ID: 28358689
[TBL] [Abstract][Full Text] [Related]
12. Walking orientation randomness metric (WORM) score: pilot study of a novel gait parameter to assess walking stability and discriminate fallers from non-fallers using wearable sensors.
Mobbs RJ; Natarajan P; Fonseka RD; Betteridge C; Ho D; Mobbs R; Sy L; Maharaj M
BMC Musculoskelet Disord; 2022 Mar; 23(1):304. PubMed ID: 35351090
[TBL] [Abstract][Full Text] [Related]
13. Fall detection and fall risk assessment in older person using wearable sensors: A systematic review.
Bet P; Castro PC; Ponti MA
Int J Med Inform; 2019 Oct; 130():103946. PubMed ID: 31450081
[TBL] [Abstract][Full Text] [Related]
14. Analysis of dual-task elderly gait in fallers and non-fallers using wearable sensors.
Howcroft J; Kofman J; Lemaire ED; McIlroy WE
J Biomech; 2016 May; 49(7):992-1001. PubMed ID: 26994786
[TBL] [Abstract][Full Text] [Related]
15. Review of fall risk assessment in geriatric populations using inertial sensors.
Howcroft J; Kofman J; Lemaire ED
J Neuroeng Rehabil; 2013 Aug; 10(1):91. PubMed ID: 23927446
[TBL] [Abstract][Full Text] [Related]
16. Gait Flexibility among Older Persons Significantly More Impaired in Fallers Than Non-Fallers-A Longitudinal Study.
Ekvall Hansson E; Valkonen E; Olsson Möller U; Chen Lin Y; Magnusson M; Fransson PA
Int J Environ Res Public Health; 2021 Jul; 18(13):. PubMed ID: 34281011
[TBL] [Abstract][Full Text] [Related]
17. Wearable-Sensor-Based Classification Models of Faller Status in Older Adults.
Howcroft J; Lemaire ED; Kofman J
PLoS One; 2016; 11(4):e0153240. PubMed ID: 27054878
[TBL] [Abstract][Full Text] [Related]
18. Disentangling the health benefits of walking from increased exposure to falls in older people using remote gait monitoring and multi-dimensional analysis.
Brodie MA; Okubo Y; Annegarn J; Wieching R; Lord SR; Delbaere K
Physiol Meas; 2017 Jan; 38(1):45-62. PubMed ID: 27941237
[TBL] [Abstract][Full Text] [Related]
19. Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review.
Brognara L; Mazzotti A; Di Martino A; Faldini C; Cauli O
Medicina (Kaunas); 2021 Oct; 57(11):. PubMed ID: 34833363
[No Abstract] [Full Text] [Related]
20. Reading from the Black Box: What Sensors Tell Us about Resting and Recovery after Real-World Falls.
Schwickert L; Klenk J; Zijlstra W; Forst-Gill M; Sczuka K; Helbostad JL; Chiari L; Aminian K; Todd C; Becker C
Gerontology; 2018; 64(1):90-95. PubMed ID: 28848150
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]