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

Correia, Fernando Dias; Nogueira, André; Magalhães, Ivo; Guimarães, Joana; Moreira, Maria Excelsa; Barradas, Isabel; Teixeira, Laetitia; Tulha, José; Seabra, Rosmaninho; Laíns, Jorge; Bento, Virgílio

doi:10.1038/s41598-018-29668-0

Cited by 93 publications

(119 citation statements)

References 48 publications

Supporting

Mentioning

110

Contrasting

Unclassified

Order By: Relevance

“…Nineteen articles remained after the screening process, describing 13 separate biofeedback home rehabilitation systems. Eight systems were described by one paper only [34][35][36][37][38][39][40][41], four systems were described by two separate papers [42][43][44][45][46][47][48][49] and one system was described by three papers [50][51][52]. All included papers fulfilled the inclusion criteria for this scoping review.…”

Section: Search Resultsmentioning

confidence: 99%

“…Five systems were developed for use in knee rehabilitation (chronic knee pain or post-operative care) [34,35,43,44,49], three for rehabilitation after a cerebrovascular accident (CVA/stroke) [38,46,51], two for elderly at risk of falls [37,43], and one each for rehabilitation related to carpal tunnel release surgery [36], total hip replacement [40], cerebral palsy [39] and chronic obstructive pulmonary disease (COPD) [41].…”

Section: System Characteristicsmentioning

confidence: 99%

“…While a variety of visual, audio, haptic and multimodal modes could be used, all systems provided feedback of an audio or visual mode, and there was no haptic feedback. The BASE system by Doyle et al [37] featured multimodal feedback, and five systems applied both audio and visual modes [35,[38][39][40]44]. All systems featured concurrent, or 'real-time', feedback, and six of the systems also gave feedback with a time delay [35,38,40,41,43,44].…”

Section: Feedback Componentsmentioning

confidence: 99%

“…Seven systems used descriptive feedback [34,36,37,39,40,43,46], three used both prescriptive and descriptive [35,38,51], one used prescriptive alone [41], and it was unclear what quality of feedback was used in two systems [44,49]. As each system provided feedback on more than one feature of the targeted exercise, KR and KP were noted to be applied in a variety of ways and eight systems applied both KP and KR [35,38,39,41,43,44,46,51]. Five systems used KR only [34,36,37,40,49] and no system used KP only.…”

Section: Feedback Componentsmentioning

confidence: 99%

See 3 more Smart Citations

Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review

Brennan

Dorronzoro

Caulfield

2019

Sensors

View full text Add to dashboard Cite

Digital biofeedback systems (DBSs) are used in physical rehabilitation to improve outcomes by engaging and educating patients and have the potential to support patients while doing targeted exercises during home rehabilitation. The components of feedback (mode, content, frequency and timing) can influence motor learning and engagement in various ways. The feedback design used in DBSs for targeted exercise home rehabilitation, as well as the evidence underpinning the feedback and how it is evaluated, is not clearly known. To explore these concepts, we conducted a scoping review where an electronic search of PUBMED, PEDro and ACM digital libraries was conducted from January 2000 to July 2019. The main inclusion criteria included DBSs for targeted exercises, in a home rehabilitation setting, which have been tested on a clinical population. Nineteen papers were reviewed, detailing thirteen different DBSs. Feedback was mainly visual, concurrent and descriptive, frequently providing knowledge of results. Three systems provided clear rationale for the use of feedback. Four studies conducted specific evaluations of the feedback, and seven studies evaluated feedback in a less detailed or indirect manner. Future studies should describe in detail the feedback design in DBSs and consider a robust evaluation of the feedback element of the intervention to determine its efficacy.Sensors 2020, 20, 181 2 of 20 to improve motor learning, engagement with and adherence to rehabilitation in musculoskeletal, neurological and orthopaedic populations [3][4][5]. They can improve awareness of exercise technique by providing information regarding movement that was previously unavailable. DBSs can generate objective measurements which act as rehabilitation goals, such as knee range of movement (ROM). With the appropriate data analytics and visualisations, the data collected can be compiled to create progress reports and allow remote monitoring by physiotherapists [6,7].Feedback consists of four main components (mode, content, frequency and timing), which each may be applied in a multitude of ways. Different combinations of these components will result in different feedback designs, and, theoretically, different effects on the user [8]. We have summarised the components of feedback that are observed in the relevant literature and presented them in Figure 1 as a framework within which to describe feedback interventions in detail. The first of these components is feedback mode, this may be visual, audio, haptic or multimodal (more than one mode represents the same variable at the same time). Through these modes, the feedback may be presented in a direct manner, e.g., a measure of ROM [9], or in an indirect manner, e.g., abstract graphical displays or gamified interfaces [10,11]. Feedback timing can be concurrent (also known as 'real-time' or 'simultaneous') or terminal, meaning it can be delivered during or after exercise execution, respectively. The frequency of feedback can be constant, reduced, or fading (decreasing over time). Feedback con...

show abstract

Section: Search Resultsmentioning

confidence: 99%

Section: System Characteristicsmentioning

confidence: 99%

Section: Feedback Componentsmentioning

confidence: 99%

Section: Feedback Componentsmentioning

confidence: 99%

See 2 more Smart Citations

Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review

Brennan

Dorronzoro

Caulfield

2019

Sensors

View full text Add to dashboard Cite

show abstract

“…Home exercise programs with the use of telerehabilitation before and after TKA and THA seem not to be inferior to standard physiotherapy in terms of improvements in range of movement and muscle strength, decrease in pain, patient satisfaction, and patient reported outcome measures (PROMs) [15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Sensor Positioning Influences the Accuracy of Knee Rom Data of an E-Rehabilitation System: A Preliminary Study with Healthy Subjects

Marques

Bauer

Grimaldo

et al. 2020

Sensors

View full text Add to dashboard Cite

E-rehabilitation is the term used to define medical rehabilitation programs that are implemented at home with the use of information and communication technologies. The aim was to test whether sensor position and the sitting position of the patient influence the accuracy of knee range of movement (ROM) data displayed by the BPMpathway e-rehabilitation system. A preliminary study was conducted in a laboratory setting with healthy adults. Knee ROM data was measured with the BPMpathway e-rehabilitation system and simultaneously with a BIOPAC twin-axis digital goniometer. The main outcome was the root mean squared error (RMSE). A 20% increase or reduction in sitting height led to a RMSE increase. A ventral shift of the BPMpathway sensor by 45 • and 90 • caused significant measurement errors. A vertical shift was associated with a diminution of the measurement errors. The lowest RMSE (2.4 • ) was achieved when the sensor was placed below the knee. The knee ROM data measured by the BPMpathway system is comparable to the data of the concurrent system, provided the instructions of the manufacturer are respected concerning the sitting position of the subject for knee exercises, and disregarding the same instructions for sensor positioning, by placing the sensor directly below the knee.

show abstract

Telehealth treatment for nonspecific low back pain: A review of the current state in mobile health

Tabacof

Baker

Durbin

et al. 2022

PM&R

View full text Add to dashboard Cite

Introduction Nonspecific low back pain (LBP) is an idiopathic musculoskeletal condition that affects four of five individuals in their lifetime and is the leading cause of job‐related disability in the United States. The interest in interactive and dynamic telehealth treatments for LBP continues to grow, and it is important for the medical community to remain up‐to‐date on the state of the science. Literature survey Relevant studies published from March 2016 until March 2021 were identified through a systematic search of EMBASE, MedLine, and Web of Science. The search strategy combined the concepts of back pain, telehealth, and mobile applications. Methodology Titles and abstracts were screened to select full‐text randomized controlled trials or protocols, and methodological quality and risk of bias was assessed using the Cochrane risk‐of‐bias tool. Data were synthesized narratively. Synthesis We included seven concluded randomized‐controlled trials and two study protocols reporting mobile health (mHealth) solutions for LBP. Six of the seven concluded trials found a significant improvement in self‐reported numerical pain rating scale compared to the control group. A single trial compared a mHealth solution to physical therapy, with the majority of studies comparing interventions to “usual care.” Substantial heterogeneity in reporting of sample characteristics was found, indicating a lack of standardization through the field. Conclusions mHealth solutions may positively impact people with LBP. Larger trials should be encouraged and the field should coalesce around a set of baseline variables for collection and reporting. Because many interventions involve patient engagement, future trials should aim to further quantify adherence levels and begin to define telehealth “doses” associated with better outcomes.

show abstract

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

Cited by 93 publications

References 48 publications

Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review

Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review

Sensor Positioning Influences the Accuracy of Knee Rom Data of an E-Rehabilitation System: A Preliminary Study with Healthy Subjects

Telehealth treatment for nonspecific low back pain: A review of the current state in mobile health

Contact Info

Product

Resources

About