254 related articles for article (PubMed ID: 25885438)
1. Auto detection and segmentation of physical activities during a Timed-Up-and-Go (TUG) task in healthy older adults using multiple inertial sensors.
Nguyen HP; Ayachi F; Lavigne-Pelletier C; Blamoutier M; Rahimi F; Boissy P; Jog M; Duval C
J Neuroeng Rehabil; 2015 Apr; 12():36. PubMed ID: 25885438
[TBL] [Abstract][Full Text] [Related]
2. Auto detection and segmentation of daily living activities during a Timed Up and Go task in people with Parkinson's disease using multiple inertial sensors.
Nguyen H; Lebel K; Boissy P; Bogard S; Goubault E; Duval C
J Neuroeng Rehabil; 2017 Apr; 14(1):26. PubMed ID: 28388939
[TBL] [Abstract][Full Text] [Related]
3. Wavelet-based algorithm for auto-detection of daily living activities of older adults captured by multiple inertial measurement units (IMUs).
Ayachi FS; Nguyen HP; Lavigne-Pelletier C; Goubault E; Boissy P; Duval C
Physiol Meas; 2016 Mar; 37(3):442-61. PubMed ID: 26914432
[TBL] [Abstract][Full Text] [Related]
4. Using Inertial Sensors to Automatically Detect and Segment Activities of Daily Living in People With Parkinson's Disease.
Nguyen H; Lebel K; Bogard S; Goubault E; Boissy P; Duval C
IEEE Trans Neural Syst Rehabil Eng; 2018 Jan; 26(1):197-204. PubMed ID: 28858808
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of an inertial sensor system for analysis of timed-up-and-go under dual-task demands.
Coulthard JT; Treen TT; Oates AR; Lanovaz JL
Gait Posture; 2015 May; 41(4):882-7. PubMed ID: 25827680
[TBL] [Abstract][Full Text] [Related]
6. Convergent Validity of a Wearable Sensor System for Measuring Sub-Task Performance during the Timed Up-and-Go Test.
Beyea J; McGibbon CA; Sexton A; Noble J; O'Connell C
Sensors (Basel); 2017 Apr; 17(4):. PubMed ID: 28441748
[TBL] [Abstract][Full Text] [Related]
7. Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients.
Massé F; Gonzenbach RR; Arami A; Paraschiv-Ionescu A; Luft AR; Aminian K
J Neuroeng Rehabil; 2015 Aug; 12():72. PubMed ID: 26303929
[TBL] [Abstract][Full Text] [Related]
8. Multivariate Analyses and Classification of Inertial Sensor Data to Identify Aging Effects on the Timed-Up-and-Go Test.
Vervoort D; Vuillerme N; Kosse N; Hortobágyi T; Lamoth CJ
PLoS One; 2016; 11(6):e0155984. PubMed ID: 27271994
[TBL] [Abstract][Full Text] [Related]
9. Inertial measurement systems for segments and joints kinematics assessment: towards an understanding of the variations in sensors accuracy.
Lebel K; Boissy P; Nguyen H; Duval C
Biomed Eng Online; 2017 May; 16(1):56. PubMed ID: 28506273
[TBL] [Abstract][Full Text] [Related]
10. Automatic Timed Up-and-Go Sub-Task Segmentation for Parkinson's Disease Patients Using Video-Based Activity Classification.
Li T; Chen J; Hu C; Ma Y; Wu Z; Wan W; Huang Y; Jia F; Gong C; Wan S; Li L
IEEE Trans Neural Syst Rehabil Eng; 2018 Nov; 26(11):2189-2199. PubMed ID: 30334764
[TBL] [Abstract][Full Text] [Related]
11. Instrumented balance and walking assessments in persons with multiple sclerosis show strong test-retest reliability.
Craig JJ; Bruetsch AP; Lynch SG; Horak FB; Huisinga JM
J Neuroeng Rehabil; 2017 May; 14(1):43. PubMed ID: 28532417
[TBL] [Abstract][Full Text] [Related]
12. Biomechanical analysis of the timed up-and-go (TUG) test in children with and without Down syndrome.
Beerse M; Lelko M; Wu J
Gait Posture; 2019 Feb; 68():409-414. PubMed ID: 30594868
[TBL] [Abstract][Full Text] [Related]
13. Thigh-Derived Inertial Sensor Metrics to Assess the Sit-to-Stand and Stand-to-Sit Transitions in the Timed Up and Go (TUG) Task for Quantifying Mobility Impairment in Multiple Sclerosis.
Witchel HJ; Oberndorfer C; Needham R; Healy A; Westling CEI; Guppy JH; Bush J; Barth J; Herberz C; Roggen D; Eskofier BM; Rashid W; Chockalingam N; Klucken J
Front Neurol; 2018; 9():684. PubMed ID: 30271371
[No Abstract] [Full Text] [Related]
14. Validation of an accelerometer for measurement of activity in frail older people.
Chigateri NG; Kerse N; Wheeler L; MacDonald B; Klenk J
Gait Posture; 2018 Oct; 66():114-117. PubMed ID: 30172217
[TBL] [Abstract][Full Text] [Related]
15. Remote timed up and go evaluation from activities of daily living reveals changing mobility after surgery.
Saporito S; Brodie MA; Delbaere K; Hoogland J; Nijboer H; Rispens SM; Spina G; Stevens M; Annegarn J
Physiol Meas; 2019 Apr; 40(3):035004. PubMed ID: 30840937
[TBL] [Abstract][Full Text] [Related]
16. Transition Between the Timed up and Go Turn to Sit Subtasks: Is Timing Everything?
Weiss A; Mirelman A; Giladi N; Barnes LL; Bennett DA; Buchman AS; Hausdorff JM
J Am Med Dir Assoc; 2016 Sep; 17(9):864.e9-864.e15. PubMed ID: 27569715
[TBL] [Abstract][Full Text] [Related]
17. Feasibility and Validity of Discriminating Yaw Plane Head-on-Trunk Motion Using Inertial Wearable Sensors.
Paul SS; Walther RG; Beseris EA; Dibble LE; Lester ME
IEEE Trans Neural Syst Rehabil Eng; 2017 Dec; 25(12):2347-2354. PubMed ID: 28829312
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems.
Gao L; Bourke AK; Nelson J
Med Eng Phys; 2014 Jun; 36(6):779-85. PubMed ID: 24636448
[TBL] [Abstract][Full Text] [Related]
19. Frailty status can be accurately assessed using inertial sensors and the TUG test.
Greene BR; Doheny EP; O'Halloran A; Anne Kenny R
Age Ageing; 2014 May; 43(3):406-11. PubMed ID: 24212918
[TBL] [Abstract][Full Text] [Related]
20. Postural transitions detection and characterization in healthy and patient populations using a single waist sensor.
Atrsaei A; Dadashi F; Hansen C; Warmerdam E; Mariani B; Maetzler W; Aminian K
J Neuroeng Rehabil; 2020 Jun; 17(1):70. PubMed ID: 32493496
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
