349 related articles for article (PubMed ID: 28781056)
1. Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning.
Bochniewicz EM; Emmer G; McLeod A; Barth J; Dromerick AW; Lum P
J Stroke Cerebrovasc Dis; 2017 Dec; 26(12):2880-2887. PubMed ID: 28781056
[TBL] [Abstract][Full Text] [Related]
2. Using Wearable Sensors and Machine Learning Models to Separate Functional Upper Extremity Use From Walking-Associated Arm Movements.
McLeod A; Bochniewicz EM; Lum PS; Holley RJ; Emmer G; Dromerick AW
Arch Phys Med Rehabil; 2016 Feb; 97(2):224-31. PubMed ID: 26435302
[TBL] [Abstract][Full Text] [Related]
3. Measurement of Functional Use in Upper Extremity Prosthetic Devices Using Wearable Sensors and Machine Learning.
Bochniewicz EM; Emmer G; Dromerick AW; Barth J; Lum PS
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991822
[TBL] [Abstract][Full Text] [Related]
4. Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method.
Lum PS; Shu L; Bochniewicz EM; Tran T; Chang LC; Barth J; Dromerick AW
Neurorehabil Neural Repair; 2020 Dec; 34(12):1078-1087. PubMed ID: 33150830
[TBL] [Abstract][Full Text] [Related]
5. Concurrent validity of machine learning-classified functional upper extremity use from accelerometry in chronic stroke.
Geed S; Grainger ML; Mitchell A; Anderson CC; Schmaulfuss HL; Culp SA; McCormick ER; McGarry MR; Delgado MN; Noccioli AD; Shelepov J; Dromerick AW; Lum PS
Front Physiol; 2023; 14():1116878. PubMed ID: 37035665
[No Abstract] [Full Text] [Related]
6. Wristband Accelerometers to motiVate arm Exercise after Stroke (WAVES): study protocol for a pilot randomized controlled trial.
Moore SA; Da Silva R; Balaam M; Brkic L; Jackson D; Jamieson D; Ploetz T; Rodgers H; Shaw L; van Wijck F; Price C
Trials; 2016 Oct; 17(1):508. PubMed ID: 27769310
[TBL] [Abstract][Full Text] [Related]
7. Acceleration metrics are responsive to change in upper extremity function of stroke survivors.
Urbin MA; Waddell KJ; Lang CE
Arch Phys Med Rehabil; 2015 May; 96(5):854-61. PubMed ID: 25497517
[TBL] [Abstract][Full Text] [Related]
8. Recognizing upper limb movements with wrist worn inertial sensors using k-means clustering classification.
Biswas D; Cranny A; Gupta N; Maharatna K; Achner J; Klemke J; Jöbges M; Ortmann S
Hum Mov Sci; 2015 Apr; 40():59-76. PubMed ID: 25528632
[TBL] [Abstract][Full Text] [Related]
9. Assessing Eating Behaviour Using Upper Limb Mounted Motion Sensors: A Systematic Review.
Heydarian H; Adam M; Burrows T; Collins C; Rollo ME
Nutrients; 2019 May; 11(5):. PubMed ID: 31137677
[TBL] [Abstract][Full Text] [Related]
10. A remote quantitative Fugl-Meyer assessment framework for stroke patients based on wearable sensor networks.
Yu L; Xiong D; Guo L; Wang J
Comput Methods Programs Biomed; 2016 May; 128():100-10. PubMed ID: 27040835
[TBL] [Abstract][Full Text] [Related]
11. Impacts of Sensation, Perception, and Motor Abilities of the Ipsilesional Upper Limb on Hand Functions in Unilateral Stroke: Quantifications From Biomechanical and Functional Perspectives.
Hsu HY; Ke CW; Kuan TS; Yang HC; Tsai CL; Kuo LC
PM R; 2018 Feb; 10(2):146-153. PubMed ID: 28729058
[TBL] [Abstract][Full Text] [Related]
12. Predicting daily use of the affected upper extremity 1 year after stroke.
Rand D; Eng JJ
J Stroke Cerebrovasc Dis; 2015 Feb; 24(2):274-83. PubMed ID: 25533758
[TBL] [Abstract][Full Text] [Related]
13. Capture, learning, and classification of upper extremity movement primitives in healthy controls and stroke patients.
Guerra J; Uddin J; Nilsen D; Mclnerney J; Fadoo A; Omofuma IB; Hughes S; Agrawal S; Allen P; Schambra HM
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():547-554. PubMed ID: 28813877
[TBL] [Abstract][Full Text] [Related]
14. Would a thermal sensor improve arm motion classification accuracy of a single wrist-mounted inertial device?
Lui J; Menon C
Biomed Eng Online; 2019 May; 18(1):53. PubMed ID: 31064354
[TBL] [Abstract][Full Text] [Related]
15. Physical activity using wrist-worn accelerometers: comparison of dominant and non-dominant wrist.
Dieu O; Mikulovic J; Fardy PS; Bui-Xuan G; Béghin L; Vanhelst J
Clin Physiol Funct Imaging; 2017 Sep; 37(5):525-529. PubMed ID: 26749436
[TBL] [Abstract][Full Text] [Related]
16. Can energy expenditure be accurately assessed using accelerometry-based wearable motion detectors for physical activity monitoring in post-stroke patients in the subacute phase?
Mandigout S; Lacroix J; Ferry B; Vuillerme N; Compagnat M; Daviet JC
Eur J Prev Cardiol; 2017 Dec; 24(18):2009-2016. PubMed ID: 29067851
[TBL] [Abstract][Full Text] [Related]
17. Effect of Modified Constraint-Induced Movement Therapy Combined with Auditory Feedback for Trunk Control on Upper Extremity in Subacute Stroke Patients with Moderate Impairment: Randomized Controlled Pilot Trial.
Bang DH
J Stroke Cerebrovasc Dis; 2016 Jul; 25(7):1606-1612. PubMed ID: 27062417
[TBL] [Abstract][Full Text] [Related]
18. Functional rehabilitation of upper limb apraxia in poststroke patients: study protocol for a randomized controlled trial.
Pérez-Mármol JM; García-Ríos MC; Barrero-Hernandez FJ; Molina-Torres G; Brown T; Aguilar-Ferrándiz ME
Trials; 2015 Nov; 16():508. PubMed ID: 26542104
[TBL] [Abstract][Full Text] [Related]
19. Giving Them a Hand: Wearing a Myoelectric Elbow-Wrist-Hand Orthosis Reduces Upper Extremity Impairment in Chronic Stroke.
Peters HT; Page SJ; Persch A
Arch Phys Med Rehabil; 2017 Sep; 98(9):1821-1827. PubMed ID: 28130084
[TBL] [Abstract][Full Text] [Related]
20. A single session of open kinetic chain movements emphasizing speed improves speed of movement and modifies postural control in stroke.
Gray VL; Ivanova TD; Garland SJ
Physiother Theory Pract; 2016; 32(2):113-23. PubMed ID: 26863374
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
