Verification of a Portable Motion Tracking System for Remote Management of Physical Rehabilitation of the Knee (original) (raw)
Related papers
Journal of Clinical Medicine
Background: The number of total knee replacements performed annually is steadily increasing. Parallel options for postoperative care are decreasing, which reduces patient satisfaction. External devices to support physical rehabilitation and health monitoring will improve patient satisfaction and postoperative care. Methods: In a prospective, international multicenter study, patients were asked to use an external motion sensor and a smartphone application during the postoperative course of primary total knee arthroplasty. The collected data were transferred to a data platform, allowing for the real-time evaluation of patient data. Results: In three participating centers, 98 patients were included. The general acceptance of using the sensor and app was high, with an overall compliance in study participation rate of up to 76%. The early results showed a significant improvement in the overall quality of life (p < 0.001) and significant reductions in pain (p < 0.01) and depression ...
Smartphone technology: a reliable and valid measure of knee movement in knee replacement
Knee range of motion (ROM) following a knee arthroplasty is an important clinical outcome that directly relates to the patient's physical function. Smartphone technology has led to the creation of applications that can measure ROM. The aim was to determine the concurrent reliability and validity of the photo-based application 'Dr Goniometer' (DrG) compared with a universal goniometer performed by a clinician. A smartphone camera was used to take photographs of the knee in full flexion and full extension, and the images were sent by participants to a study phone. Participants then rated the ease of participation. To assess validity, the patient's knee was measured by a clinician using a goniometer. To examine reliability, four clinicians assessed each image using DrG on four separate occasions spaced 1 week apart. A total of 60 images of knee ROM for 30 unicondylar or total knee arthroplasty were assessed. The goniometer and DrG showed strong correlations for flexion (r = 0.94) and extension (r = 0.90). DrG showed good intrarater reliability and excellent inter-rater reliability for flexion (intraclass correlation coefficient = 0.990 and 0.990) and good reliability for extension (intraclass correlation coefficient = 0.897 and 0.899). All participants found the process easy. DrG was proven to be a valid and reliable tool in measuring knee ROM following arthroplasty. Smartphone technology, in conjunction with patient-reported outcomes, offers an accurate and practical way to remotely monitor patients. Benefit may be found in differentiating those who need face-to-face clinical consult to those who do not.
Sensors, 2020
Rehabilitation has been shown to improve functional outcomes following total knee replacement (TKR). However, its delivery and associated costs are highly variable. The authors have developed and previously validated the accuracy of a remote (wearable) rehabilitation monitoring platform (interACTION). The present study’s objective was to assess the feasibility of utilizing interACTION for the remote management of rehabilitation after TKR and to determine a preliminary estimate of the effects of the interACTION system on the value of rehabilitation. Specifically, we tested post-operative outpatient rehabilitation supplemented with interACTION (n = 13) by comparing it to a standard post-operative outpatient rehabilitation program (n = 12) using a randomized design. Attrition rates were relatively low and not significantly different between groups, indicating that participants found both interventions acceptable. A small (not statistically significant) decrease in the number of physica...
Journal of neuroengineering and rehabilitation, 2006
There is currently a paucity of devices available for continuous, long-term monitoring of human joint motion. Non-invasive, inexpensive devices capable of recording human activity and joint motion have many applications for medical research. Such a device could be used to quantify range of motion outside the gait laboratory. The purpose of this study was to test the accuracy of the modified Intelligent Device for Energy Expenditure and Activity (IDEEA) in measuring knee flexion angles, to detect different physical activities, and to quantify how often healthy subjects use deep knee flexion in the ambulatory setting. We compared Biomotion Laboratory (BML) "gold standard" data to simultaneous IDEEA measures of knee motion and gait, step up/down, and stair descent in 5 healthy subjects. In addition, we used a series of choreographed physical activities outside the BML to confirm the IDEEA's ability to accurately measure 7 commonly-performed physical activities. Subjects t...
JMIR mHealth and uHealth, 2020
Background Movement analysis in a clinical setting is frequently restricted to observational methods to inform clinical decision making, which has limited accuracy. Fixed-site, optical, expensive movement analysis laboratories provide gold standard kinematic measurements; however, they are rarely accessed for routine clinical use. Wearable inertial measurement units (IMUs) have been demonstrated as comparable, inexpensive, and portable movement analysis toolkits. MoJoXlab has therefore been developed to work with generic wearable IMUs. However, before using MoJoXlab in clinical practice, there is a need to establish its validity in participants with and without knee conditions across a range of tasks with varying complexity. Objective This paper aimed to present the validation of MoJoXlab software for using generic wearable IMUs for calculating hip, knee, and ankle joint angle measurements in the sagittal, frontal, and transverse planes for walking, squatting, and jumping in healthy...
Wearable Sensors in Knee Rehabilitation: A Narrative Review
Zenodo (CERN European Organization for Nuclear Research), 2023
Only a few trustworthy assessment tools are available in clinical settings to track knee joint rehabilitation. Rehabilitation of Musculoskeletal injuries continue to adopt and evolve based on the recent evidence, patient needs and emerging technology. Wearable technology has significant clinical applications in diagnosis, documentation, remote monitoring and training. While there are various studies exploring the development, efficacy and accuracy of wearable tech, understanding the clinical application and usefulness of the tech can help its integration into clinical practice better. PUBMED, Springer, and IEEE were searched for eligible studies. With high reliability coefficients, large bounds of agreement, or only a few noticeable errors, all investigations produced good outcomes. They either misreported crucial facts or employed alternative or partially unsuitable approaches for measuring reliability. As a result, a mild risk of bias must be taken into account. In order to synthesis the evidence and make clear recommendations for the clinical usage of wearable movement sensors in knee joint rehabilitation, more quality criterion studies in clinical settings are required.Inertial sensors equipped with tri-axial accelerometers, gyroscopes, and magnetometers is the most common sensor technology that was used in research. Most of the studies have used the tech to analyze gait parameters. The sensor placements were mostly consistent for gait analysis. The overall population studied was minimal, this included a mix of healthy population without preexisting injuries. The tech was easy to adopt and cost effective, however the protocols for measurements could be standardized for routine clinical practice.
Digital technologies, including mobile applications, websites, and wearable devices, like smartwatches are among the newest approaches in prevention, care, and treatment studies; they could provide public access to high-quality rehabilitation services. The current review study aimed to evaluate the effects of digital technologies for enhancing physical activity, as well as improving and managing pain in individuals with knee injuries and pain. Methods: The keywords "digital care program", "e-health", "physical activity", and "knee pain" were used to search the studies in the PubMed, Scopus, and Google Scholar databases. In total, 734 articles were found. Then, studies published in languages other than English; the articles with completely similar results; the studies on diseases other than knee problems, and those investigating children or adolescents were excluded. Thus, valid articles indexed in these databases that digital technologies were an except original in the intervention; databases that investigated the impact of digital technologies on osteoarthritis and total knee arthroplasty knee improvement, and the randomized controlled trials were included in this research. Eventually, 8 articles were evaluated in this study. The methodological quality of the studies was assessed using the PEDro score. Results: The overall outcome of the explored studies indicated that digital technologies significantly impact pain relief, and improve mobility, quality of life, and self-care in patients with osteoarthritis and total knee arthroplasty. Conclusion: Digital technologies increase the effectiveness of rehabilitation programs and play an essential role in creating a self-care culture. These technologies have resulted in savings in medical, commuting, pharmacotherapy, and surgery costs by communicating between patient and therapist at any time in any place.
Validation of a Device to Measure Knee Joint Angles for a Dynamic Movement
2020
Participation in sports has risen in the United States over the last few years, increasing the risk of injuries such as tears to the anterior cruciate ligament (ACL) in the knee. Previous studies have shown a correlation between knee kinematics when landing from a jump and this injury. The purpose of this study was to validate the ability of a commercially available inertial measurement units (IMUs) to accurately measure knee joint angles during a dynamic movement. Eight healthy subjects participated in the study. Validation was performed by comparing the angles measured by the wearable device to those obtained through the gold standard motion capture system when landing from a jump. Root mean square, linear regression analysis, and Bland–Altman plots were performed/constructed. The mean difference between the wearable device and the motion capture data was 8.4° (flexion/extension), 4.9° (ab/adduction), and 3.9° (rotation). In addition, the device was more accurate at smaller knee a...
JMIR Research Protocols, 2015
Background: Standard care for the rehabilitation of knee conditions involves exercise programs and information provision. Current methods of rehabilitation delivery struggle to keep up with large volumes of patients and the length of treatment required to maximize the recovery. Therefore, the development of novel interventions to support self-management is strongly recommended. Such interventions need to include information provision, goal setting, monitoring, feedback, and support groups, but the most effective methods of their delivery are poorly understood. The Internet provides a medium for intervention delivery with considerable potential for meeting these needs. Objective: The objective of this study was to demonstrate the feasibility of a Web-based app and to conduct a preliminary review of its practicability as part of a complex medical intervention in the rehabilitation of knee disorders. This paper describes the development, implementation, and usability of such an app. Methods: An interdisciplinary team of health care professionals and researchers, computer scientists, and app developers developed the TRAK app suite. The key functionality of the app includes information provision, a three-step exercise program based on a standard care for the rehabilitation of knee conditions, self-monitoring with visual feedback, and a virtual support group. There were two types of stakeholders (patients and physiotherapists) that were recruited for the usability study. The usability questionnaire was used to collect both qualitative and quantitative information on computer and Internet usage, task completion, and subjective user preferences. Results: A total of 16 patients and 15 physiotherapists participated in the usability study. Based on the System Usability Scale, the TRAK app has higher perceived usability than 70% of systems. Both patients and physiotherapists agreed that the given Web-based approach would facilitate communication, provide information, help recall information, improve understanding, enable exercise progression, and support self-management in general. The Web app was found to be easy to use and user satisfaction was very high. The TRAK app suite can be accessed at http://apps.facebook.com/kneetrak/. Conclusions: The usability study suggests that a Web-based intervention is feasible and acceptable in supporting self-management of knee conditions.
Current Directions in Biomedical Engineering
Many people are familiar with the feeling of instability, pain, or subsidence in the knee joint after a knee injury. There are many different methods for examining the knee, such as the drawer test or the Lachman test [1], before and after surgery. While these tests can be used in short term and provide useful results, motion capture systems can be used as an alternative measurement method, almost as a substitute in longer term. These include marker-based or mechanica l systems, which achieve good measurement results but are expensive and inflexible. For this reason, this paper presents a mobile, easy-to-use motion and easy expandable capture system using a low-cost IMU-based development system. The modular design of the system allows it to be adapted to each body region with simple adjustments. However, the present work focuses on applications for capturing human motion sequences and deriving three joint angles of the lower extremities to detect malposition.