These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 32997621)

  • 1. Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors.
    Lee SI; Adans-Dester CP; OBrien AT; Vergara-Diaz GP; Black-Schaffer R; Zafonte R; Dy JG; Bonato P
    IEEE Trans Biomed Eng; 2021 Jun; 68(6):1871-1881. PubMed ID: 32997621
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Task selection for a sensor-based, wearable, upper limb training device for stroke survivors: a multi-stage approach.
    Turk R; Whitall J; Meagher C; Stokes M; Roberts S; Woodham S; Clatworthy P; Burridge J
    Disabil Rehabil; 2023 May; 45(9):1480-1487. PubMed ID: 35476616
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors.
    O'Brien MK; Lanotte F; Khazanchi R; Shin SY; Lieber RL; Ghaffari R; Rogers JA; Jayaraman A
    Phys Ther; 2024 Feb; 104(2):. PubMed ID: 38169444
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task.
    Oubre B; Daneault JF; Jung HT; Whritenour K; Miranda JGV; Park J; Ryu T; Kim Y; Lee SI
    IEEE Trans Neural Syst Rehabil Eng; 2020 Mar; 28(3):601-611. PubMed ID: 31944983
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Understanding stroke survivors' preferences regarding wearable sensor feedback on functional movement: a mixed-methods study.
    Demers M; Cain A; Bishop L; Gunby T; Rowe JB; Zondervan DK; Winstein CJ
    J Neuroeng Rehabil; 2023 Nov; 20(1):146. PubMed ID: 37915055
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Feasibility and efficacy of wearable devices for upper limb rehabilitation in patients with chronic stroke: a randomized controlled pilot study.
    Lin LF; Lin YJ; Lin ZH; Chuang LY; Hsu WC; Lin YH
    Eur J Phys Rehabil Med; 2018 Jun; 54(3):388-396. PubMed ID: 28627862
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment.
    Maceira-Elvira P; Popa T; Schmid AC; Hummel FC
    J Neuroeng Rehabil; 2019 Nov; 16(1):142. PubMed ID: 31744553
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Variables influencing wearable sensor outcome estimates in individuals with stroke and incomplete spinal cord injury: a pilot investigation validating two research grade sensors.
    Jayaraman C; Mummidisetty CK; Mannix-Slobig A; McGee Koch L; Jayaraman A
    J Neuroeng Rehabil; 2018 Mar; 15(1):19. PubMed ID: 29534737
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Wearable Sensor to Monitor Quality of Upper Limb Task Practice for Stroke Survivors at Home.
    Seo NJ; Coupland K; Finetto C; Scronce G
    Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257646
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review.
    Wang X; Fu Y; Ye B; Babineau J; Ding Y; Mihailidis A
    J Med Internet Res; 2022 Jun; 24(6):e34307. PubMed ID: 35699982
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Haptic Nudges Increase Affected Upper Limb Movement During Inpatient Stroke Rehabilitation: Multiple-Period Randomized Crossover Study.
    Signal NEJ; McLaren R; Rashid U; Vandal A; King M; Almesfer F; Henderson J; Taylor D
    JMIR Mhealth Uhealth; 2020 Jul; 8(7):e17036. PubMed ID: 32723718
    [TBL] [Abstract][Full Text] [Related]  

  • 13. User Participatory Design of a Wearable Focal Vibration Device for Home-Based Stroke Rehabilitation.
    Wang H; Ghazi M; Chandrashekhar R; Rippetoe J; Duginski GA; Lepak LV; Milhan LR; James SA
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590997
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Wearable Physiological Monitoring System Based on Electrocardiography and Electromyography for Upper Limb Rehabilitation Training.
    Zhao S; Liu J; Gong Z; Lei Y; OuYang X; Chan CC; Ruan S
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32872111
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Effects of a Rehabilitation Program Using a Wearable Device on the Upper Limb Function, Performance of Activities of Daily Living, and Rehabilitation Participation in Patients with Acute Stroke.
    Park YS; An CS; Lim CG
    Int J Environ Res Public Health; 2021 May; 18(11):. PubMed ID: 34063970
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Clinical Features to Predict the Use of a sEMG Wearable Device (REMO
    Pregnolato G; Rimini D; Baldan F; Maistrello L; Salvalaggio S; Celadon N; Ariano P; Pirri CF; Turolla A
    Int J Environ Res Public Health; 2023 Mar; 20(6):. PubMed ID: 36981992
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery.
    Adans-Dester C; Hankov N; O'Brien A; Vergara-Diaz G; Black-Schaffer R; Zafonte R; Dy J; Lee SI; Bonato P
    NPJ Digit Med; 2020; 3():121. PubMed ID: 33024831
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors' and occupational therapists' perspectives.
    Jung HT; Kim Y; Lee J; Lee SI; Choe EK
    PLoS One; 2022; 17(10):e0274142. PubMed ID: 36264782
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinicians' perceptions of a potential wearable device for capturing upper limb activity post-stroke: a qualitative focus group study.
    Simpson LA; Menon C; Hodgson AJ; Ben Mortenson W; Eng JJ
    J Neuroeng Rehabil; 2021 Sep; 18(1):135. PubMed ID: 34496894
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.