Cited by 110Total Knee Arthroplasty OutcomesProsthetics and Rehabilitation RoboticsStroke Rehabilitation and Recovery

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Home-based Rehabilitation With A Novel Digital Biofeedback System versus Conventional In-person Rehabilitation after Total Knee Replacement: a feasibility study

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Correia, Fernando Dias, Nogueira, André, Magalhães, Ivo, Guimarães, Joana, Moreira, Maria, Barradas, Isabel, Teixeira, Laetitia, Tulha, José, Seabra, Rosmaninho, Lains, Jorge, Bento, Virgilio·2018·Scientific Reports

DOI 10.1038/s41598-018-29668-0PMC PMC6062628

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Abstract

In-person home-based rehabilitation and telerehabilitation can be as effective as clinic-based rehabilitation after total knee arthroplasty (TKA), but require heavy logistics and are highly dependent on human supervision. New technologies that allow independent home-based rehabilitation without constant human supervision may help solve this problem. This was a single-center, feasibility study comparing a digital biofeedback system that meets these needs against conventional in-person home-based rehabilitation after TKA over an 8-week program. Primary outcome was the change in the Timed Up and Go score between the end of the program and baseline. Fifty-nine patients completed the study (30 experimental group; 29 conventional rehabilitation). The study demonstrated a superiority of the experimental group for all outcomes. Adverse events were similar in both groups. This is the first study to demonstrate that a digital rehabilitation solution can achieve better outcomes than conventional in-person rehabilitation, while less demanding in terms of human resources.

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Figure 1 Study CONSORT diagram.CC BY · PubMed Central

Figure 2 Evolution of the outcomes over time in both groups, based on the repeated measures analysis (estimated marginal means of transformed variables are presented). (A) TUG score. (B) Lying knee flexion. (C) Standing knee flexion. (D) Sitting knee extension.CC BY · PubMed Central

Figure 3 System components. (A) Motion Tracker Setup. (B) Mobile App: preparation screen. This screen is shown before each exercise, and displays a video of the exercise, as well as audio instructions. (C) Mobile App: execution screen. This screen is shown during exercise execution, displaying: (a) timer; (b) progress bar; (c) posture dummy; (d) repetition counter; (e) time left; (C) Web Portal - prescription screen. This screen displays the available exercises on the left and the layout of the exercise session on the right. (E) Web Portal - results screen. In this screen, the following information is presented: (a) date and time of the session; (b) session duration; (c) pain and fatigue reported by the patient through the app; (b) one card per exercise, showing baseline and target joint angles, wrong and incomplete repetitions, as well as posture errors.CC BY · PubMed Central

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The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons
Podsiadlo, D., & Richardson, S. (1991) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1991.tb01616.x · Cited by 14,418
Projections of Primary and Revision Hip and Knee Arthroplasty in the United States from 2005 to 2030
Kurtz, S. M., Ong, K. L., Lau, E., Mowat, F. S., & Halpern, M. T. (2007) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.f.00222 · Cited by 8,714
Knee Injury and Osteoarthritis Outcome Score (KOOS)—Development of a Self-Administered Outcome Measure
Roos, E. M., Roos, H. P., Lohmander, S. L., Ekdahl, C. S., & Beynnon, B. D. (1998) · Journal of Orthopaedic and Sports Physical Therapy · doi:10.2519/jospt.1998.28.2.88 · Cited by 3,989
The Knee injury and Osteoarthritis Outcome Score (KOOS): from joint injury to osteoarthritis.
Roos, E. M., & Lohmander, S. L. (2003) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-1-64 · Cited by 2,361
Biofeedback in rehabilitation
Giggins, O. M., Persson, U., & Caulfield, B. (2013) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-10-60 · Cited by 760
Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: A systematic review and meta-analysis
Cottrell, M. A., Galea, O. A., O’Leary, S. P., Hill, A. J., & Russell, T. G. (2017) · Clinical Rehabilitation · doi:10.1177/0269215516645148 · Cited by 708
Quadriceps Strength and the Time Course of Functional Recovery After Total Knee Arthroplasty
Mizner, R. L., Petterson, S. C., & Snyder‐Mackler, L. (2005) · Journal of Orthopaedic and Sports Physical Therapy · doi:10.2519/jospt.2005.35.7.424 · Cited by 546
Health at a Glance 2015
OECD (2015) · Health at a glance · doi:10.1787/health_glance-2015-en · Cited by 439
Internet-Based Outpatient Telerehabilitation for Patients Following Total Knee Arthroplasty: A Randomized Controlled Trial
Russell, T. G., Buttrum, P., Wootton, R., & Jull, G. A. (2011) · The Journal of Bone and Joint Surgery-American Volume · doi:10.2106/jbjs.i.01375 · Cited by 382
Improved function from progressive strengthening interventions after total knee arthroplasty: A randomized clinical trial with an imbedded prospective cohort
Petterson, S. C., Mizner, R. L., Stevens, J. E., Raisis, L., Bodenstab, A. B., Newcomb, W., & Snyder‐Mackler, L. (2009) · Arthritis Care & Research · doi:10.1002/art.24167 · Cited by 326

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Phan, M. T., Dao, P. L., Ngo, S. T., Phan, N. A., Cao, P., Krishnan, G., Hsiao‐Wecksler, E. T., Pham, H., & Thai, M. T. (2026) · Sensors and Actuators Reports · doi:10.1016/j.snr.2026.100499 · Cited by 1
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Madara, K. C., Aljehani, M. S., Marmon, A. R., Dellose, S., Rubano, J. J., & Zeni, J. (2021) · European Journal of Physiotherapy · doi:10.1080/21679169.2021.1947369
EFEKTIVITAS PEMBERIAN LATIHAN MELALUI TELEHEALTH TERHADAP PENURUNAN NYERI dan PENINGKATAN FUNGSI LUTUT pada OSTEOARTRITIS KNEE: STUDI LITERATUR
Nabilla, T. M., & Karnadipa, T. (2022) · Fisioterapi : Jurnal Ilmiah Fisioterapi · doi:10.47007/fisio.v21i2.4402
Obesity in pregnancy
Bernardo, D. F. S., Carvalho, C., Mota, J. A. P. S., & Santos, P. C. (2024) · Seven Editora eBooks · doi:10.56238/sevened2023.007-069
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Wang, M. (2023) · International Conference on Intelligent Computing, Communication & Convergence (ICI3C) · doi:10.1109/ici3c60830.2023.00065
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Hepke, N., Scherer, M., Mueller, S., Weyers, B., & Lohscheller, J. (2025) · ACM Symposium on Virtual Reality Software and Technology (VRST) · doi:10.1145/3756884.3766020
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Rodríguez-Bagó, M., Martı́nez, J. M., González, J. C. G., Sampere-Valero, M., & Ronda, E. (2025) · Informatics for Health and Social Care · doi:10.1080/17538157.2025.2595029
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李, 文. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.1592712

Authors: Correia, F. D., Nogueira, A., Magalhães, I., Guimarães, J., Moreira, M., Barradas, I., Teixeira, L., Tulha, J., Seabra, R., Lains, J., & Bento, V.
Affiliations: Hospital de Santo António (PT)
Sword Health, SA (Portugal) (PT)
Universidade do Porto (PT)
Hospital da Prelada (PT)
Corresponding author: Correia, Fernando Dias
ORCID: Correia, Fernando Dias
Nogueira, André
Magalhães, Ivo
Guimarães, Joana
Moreira, Maria
Barradas, Isabel
Teixeira, Laetitia
Tulha, José
Seabra, Rosmaninho
Venue: Scientific Reports
Publisher: Springer Science and Business Media LLC
Published: 2018-07-26
Volume: 8
Issue: 1
Pages: 11299-11299
ISSN: 2045-2322 (ISSN-L)
DOI: 10.1038/s41598-018-29668-0
PMC: PMC6062628
OpenAlex: W2883522275
Cited by: 110
References: 52
Citations by year: 2026: 12 · 2025: 13 · 2024: 10 · 2023: 19 · 2022: 25 · 2021: 11 · 2020: 12 · 2019: 7
FWCI: 7.80
Type: journal article
Language: en
Update notices: correction (2026-06-23)
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0 (tdm)
creativecommons.org/licenses/by/4.0 (vor)
Locations: Scientific Reports (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, other-oa)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by)
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
Funders: European Commission (H2020, 672814)
Horizon 2020 Framework Programme
Topics: Health Sciences › Medicine › Surgery › Total Knee Arthroplasty Outcomes
Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Keywords: total knee arthroplasty, home-based rehabilitation, telerehabilitation, Timed Up and Go test, walking speed, postoperative rehabilitation, feasibility
MeSH terms: Telerehabilitation, Aged, Feasibility Studies, Feedback, Female, Humans, Locomotion, Male, Middle Aged, Time, Treatment Outcome, Arthroplasty, Replacement, Knee, Drug-Related Side Effects and Adverse Reactions

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Home-based Rehabilitation With A Novel Digital Biofeedback System versus Conventional In-person Rehabilitation after Total Knee Replacement: a feasibility study

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