154 related articles for article (PubMed ID: 35780122)
1. Autonomous modeling of repetitive movement for rehabilitation exercise monitoring.
Jatesiktat P; Lim GM; Kuah CWK; Anopas D; Ang WT
BMC Med Inform Decis Mak; 2022 Jul; 22(1):175. PubMed ID: 35780122
[TBL] [Abstract][Full Text] [Related]
2. Development and preliminary evaluation of a novel low cost VR-based upper limb stroke rehabilitation platform using Wii technology.
Tsekleves E; Paraskevopoulos IT; Warland A; Kilbride C
Disabil Rehabil Assist Technol; 2016; 11(5):413-22. PubMed ID: 25391221
[TBL] [Abstract][Full Text] [Related]
3. A low-cost virtual coach for 2D video-based compensation assessment of upper extremity rehabilitation exercises.
Cóias AR; Lee MH; Bernardino A
J Neuroeng Rehabil; 2022 Jul; 19(1):83. PubMed ID: 35902897
[TBL] [Abstract][Full Text] [Related]
4. Video Game Rehabilitation for Outpatient Stroke (VIGoROUS): protocol for a multi-center comparative effectiveness trial of in-home gamified constraint-induced movement therapy for rehabilitation of chronic upper extremity hemiparesis.
Gauthier LV; Kane C; Borstad A; Strahl N; Uswatte G; Taub E; Morris D; Hall A; Arakelian M; Mark V
BMC Neurol; 2017 Jun; 17(1):109. PubMed ID: 28595611
[TBL] [Abstract][Full Text] [Related]
5. Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study.
Chae SH; Kim Y; Lee KS; Park HS
JMIR Mhealth Uhealth; 2020 Jul; 8(7):e17216. PubMed ID: 32480361
[TBL] [Abstract][Full Text] [Related]
6. A neural tracking and motor control approach to improve rehabilitation of upper limb movements.
Goffredo M; Bernabucci I; Schmid M; Conforto S
J Neuroeng Rehabil; 2008 Feb; 5():5. PubMed ID: 18251996
[TBL] [Abstract][Full Text] [Related]
7. Reliability and validity of the Kinect V2 for the assessment of lower extremity rehabilitation exercises.
Wochatz M; Tilgner N; Mueller S; Rabe S; Eichler S; John M; Völler H; Mayer F
Gait Posture; 2019 May; 70():330-335. PubMed ID: 30947108
[TBL] [Abstract][Full Text] [Related]
8. Construction of efficacious gait and upper limb functional interventions based on brain plasticity evidence and model-based measures for stroke patients.
Daly JJ; Ruff RL
ScientificWorldJournal; 2007 Dec; 7():2031-45. PubMed ID: 18167618
[TBL] [Abstract][Full Text] [Related]
9. Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSM.
Bevilacqua A; Brennan L; Argent R; Caulfield B; Kechadi T
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():574-579. PubMed ID: 31945964
[TBL] [Abstract][Full Text] [Related]
10. Upper Extremity Functional Evaluation by Fugl-Meyer Assessment Scoring Using Depth-Sensing Camera in Hemiplegic Stroke Patients.
Kim WS; Cho S; Baek D; Bang H; Paik NJ
PLoS One; 2016; 11(7):e0158640. PubMed ID: 27367518
[TBL] [Abstract][Full Text] [Related]
11. Maximizing post-stroke upper limb rehabilitation using a novel telerehabilitation interactive virtual reality system in the patient's home: study protocol of a randomized clinical trial.
Kairy D; Veras M; Archambault P; Hernandez A; Higgins J; Levin MF; Poissant L; Raz A; Kaizer F
Contemp Clin Trials; 2016 Mar; 47():49-53. PubMed ID: 26655433
[TBL] [Abstract][Full Text] [Related]
12. Enhancing automated lower limb rehabilitation exercise task recognition through multi-sensor data fusion in tele-rehabilitation.
Ettefagh A; Roshan Fekr A
Biomed Eng Online; 2024 Mar; 23(1):35. PubMed ID: 38504279
[TBL] [Abstract][Full Text] [Related]
13. Design and control of RUPERT: a device for robotic upper extremity repetitive therapy.
Sugar TG; He J; Koeneman EJ; Koeneman JB; Herman R; Huang H; Schultz RS; Herring DE; Wanberg J; Balasubramanian S; Swenson P; Ward JA
IEEE Trans Neural Syst Rehabil Eng; 2007 Sep; 15(3):336-46. PubMed ID: 17894266
[TBL] [Abstract][Full Text] [Related]
14. Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review.
Alarcón-Aldana AC; Callejas-Cuervo M; Bo APL
Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33105845
[TBL] [Abstract][Full Text] [Related]
15. Home stroke rehabilitation for the upper limbs.
Willmann RD; Lanfermann G; Saini P; Timmermans A; te Vrugt J; Winter S
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():4015-8. PubMed ID: 18002880
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Measuring Movement Quality of the Stroke-Impaired Upper Extremity with a Wearable Sensor: Toward a Smoothness Metric for Home Rehabilitation Exercise Programs.
Okita S; De Lucena DS; Chan V; Reinkensmeyer DJ
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6691-6694. PubMed ID: 34892643
[TBL] [Abstract][Full Text] [Related]
18. Influence of complementing a robotic upper limb rehabilitation system with video games on the engagement of the participants: a study focusing on muscle activities.
Li C; Rusák Z; Horváth I; Ji L
Int J Rehabil Res; 2014 Dec; 37(4):334-42. PubMed ID: 25221845
[TBL] [Abstract][Full Text] [Related]
19. Validation of a mechanism to balance exercise difficulty in robot-assisted upper-extremity rehabilitation after stroke.
Zimmerli L; Krewer C; Gassert R; Müller F; Riener R; Lünenburger L
J Neuroeng Rehabil; 2012 Feb; 9():6. PubMed ID: 22304989
[TBL] [Abstract][Full Text] [Related]
20. H-GRASP: the feasibility of an upper limb home exercise program monitored by phone for individuals post stroke.
Simpson LA; Eng JJ; Chan M
Disabil Rehabil; 2017 May; 39(9):874-882. PubMed ID: 27017890
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
