Postoperative Activity and Knee Function of Patients after Total Knee Arthroplasty: A Sensor-Based Monitoring Study

Kersten, Sebastian; Prill, Robert; Hakam, Hassan Tarek; Hofmann, Hannes; Kayaalp, Mahmut Enes; Reichmann, Jan; Becker, Roland

doi:10.3390/jpm13121628

Cited by 7 publications

(1 citation statement)

References 33 publications

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“…The linear acceleration and the angular velocity of a limb measured by the IMU are used to estimate the orientation of the limb, which is used for computing a joint's ROM. Researchers have explored their validity and reliability across various contexts, including gait analysis, joint range of motion assessment, and post-surgical monitoring [28][29][30]. There is an excellent agreement in the measurements in a comparison study between the goniometer and IMU sensor for measuring the ROM of the shoulder joint when assessed by a single tester (ICC > 0.90) [25].…”

Section: Introductionmentioning

confidence: 99%

Romiumeter: An Open-Source Inertial Measurement Unit-Based Goniometer for Range of Motion Measurements

Diwakarreddy,

Abishek,

Andrews

et al. 2024

Preprint

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Range of motion (ROM) serves as a crucial metric for assessing movement impairments. Traditionally, clinicians use goniometers to measure the ROM, but this method relies on the clinician’s skill, in particular for difficult joints such as the shoulder and neck joints. Recent studies have explored the use of wearable inertial measurement units (IMUs) as an alternative. IMUs exhibit excellent agreement with goniometers, but the lack of affordable, accessible, and clinically validated tools remains an issue. This paper introduces the Romiumeter, a single IMU-based device designed to measure the ROM of the neck and shoulder movements. To validate its accuracy, the Romiumeter was tested on 34 asymptomatic individuals for shoulder and neck movements, using an optical motion capture system as the ground truth. The device demonstrated good accuracy, with a maximum absolute error of less than 5°with moderate to good reliable measurements(inter-rater reliability: 0.69 - 0.87 and intra-rater reliability: 0.76 - 0.87). Additionally, the Romiumeter underwent validation for different algorithms, including the complementary and Madgwick filters. Interestingly, no significant differences were found between the algorithms. Overall, the Romiumeter provides reliable measurements for assessing shoulder and neck ROM in asymptomatic individuals.

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Section: Introductionmentioning

confidence: 99%

Romiumeter: An Open-Source Inertial Measurement Unit-Based Goniometer for Range of Motion Measurements

Diwakarreddy,

Abishek,

Andrews

et al. 2024

Preprint

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Scores and sores: Exploring patient‐reported outcomes for knee evaluation in orthopaedics, sports medicine and rehabilitation

Królikowska,

Reichert,

Senorski

et al. 2024

Knee surg. sports traumatol. arthrosc.

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Recognizing and addressing the controversies surrounding using patient‐reported outcome measures (PROMs) is crucial for enhancing evaluation standards in clinical studies in orthopedics, sports medicine, and rehabilitation. The article comprehensively described the challenges of using PROMs to evaluate knee conditions in these fields. Apart from defining and characterizing patient‐reported outcomes and their measures, the article discussed controversies around them, such as using them as primary outcomes. It highlighted the importance of standardizing and validating PROMs. Several initiatives taken to improve the selection of appropriate outcomes for clinical research purposes were described. Additionally, the potential of technology, mainly digital health tools and mobile applications, was mentioned in the context of enhancing the collection and analysis of PROMs. The article also raised the issue of the readability of PROMs, defined as the ease with which they can be read and understood by patients. The article concluded that adopting a complementary approach to treatment evaluation by integrating subjective and objective measures is imperative for accurately assessing efficacy. This comprehensive approach provides a more holistic understanding of patient outcomes, forms the foundation for evidence‐based medicine, and informs future healthcare policies. Proactive measures are urgently needed to address concerns and improve the reliability and validity of PROMs for clinical practice and research.Level of Evidencelevel V.

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Movement‐based cognitive training does not significantly shorten the learning curve for acquiring arthroscopic basic skills

Alt,

Hamacher,

Anetzberger

et al. 2024

Knee surg. sports traumatol. arthrosc.

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PurposeSkilful arthroscopy requires an aboveaverage level of manual dexterity. It is evident that particular motor skills can be learned and trained before arthroscopic training. The aim of this prospective cohort study was to investigate the impact of movement‐related cognitive training on the learning curve during arthroscopic basic training.MethodsFifty right‐handed participants without arthroscopic experience were matched to an intervention group (n = 25) and a control group (n = 25). Prior to basic arthroscopic skill training with a simulator, the intervention group underwent 12 weeks of movement‐related cognitive training. Cognitive and motor skills were assessed in both groups by using standardised tests (CogniFit test, angle reproduction test, two‐arm coordination test) as a pretest and, for the intervention group, again before arthroscopic training as a posttest. For arthroscopic simulator training, three tasks (‘Telescoping’, ‘Periscoping’, ‘Triangulation’) from the Fundamentals of Arthroscopic Surgery Training module were selected and practiced 10 times with the camera in the right and left hands. The learning progress was quantified by exercise time, camera path length and hook path length.ResultsNo significant differences in sex distribution, age distribution or the results of the pretests between the intervention group (n = 21) and the control group (n = 25) were found (n.s.). The intervention group improved significantly from the pretest to the posttest in the CogniFit (p = 0.003) and two‐arm coordination test in terms of time (p < 0.001) and errors (p = 0.002) but not in the angle reproduction test. No significant differences were found between the groups for the three arthroscopic tasks.ConclusionThe hypothesis that movement‐related cognitive training shortens the learning curve for acquiring arthroscopic basic skills cannot be confirmed. Other factors influencing the learning curve such as talent, teaching method and motivation have a greater impact on the acquisition of complex motor skills.Level of EvidenceLevel II.

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Postoperative Activity and Knee Function of Patients after Total Knee Arthroplasty: A Sensor-Based Monitoring Study

Cited by 7 publications

References 33 publications

Romiumeter: An Open-Source Inertial Measurement Unit-Based Goniometer for Range of Motion Measurements

Romiumeter: An Open-Source Inertial Measurement Unit-Based Goniometer for Range of Motion Measurements

Scores and sores: Exploring patient‐reported outcomes for knee evaluation in orthopaedics, sports medicine and rehabilitation

Movement‐based cognitive training does not significantly shorten the learning curve for acquiring arthroscopic basic skills

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