scholarly journals Validation of a smartphone application and wearable sensor for measurements of wrist motions

2021 ◽  
pp. 175319342110044
Author(s):  
Fredrik Engstrand ◽  
Erik Tesselaar ◽  
Rickard Gestblom ◽  
Simon Farnebo
Keyword(s):  
Range Of Motion ◽  
Learning Effect ◽  
Intraclass Correlation ◽  
Smartphone Application ◽  
Outcome Studies ◽  
Motion Sensors ◽  
Wearable Sensor ◽  
Healthy Individuals ◽  
Wrist Motion ◽  
Sensor Measurement

We developed a smartphone application to measure wrist motion using the mobile device’s built-in motion sensors or connecting it via Bluetooth to a wearable sensor. Measurement of wrist motion with this method was assessed in 33 participants on two occasions and compared with those obtained with a standard goniometer. The test–retest reproducibility in healthy individuals ranged from good to excellent (intraclass correlation (ICC) 0.76–0.95) for all motions, both with and without the wearable sensor. These results improved to excellent (ICC 0.90–0.96) on the second test day, suggesting a learning effect. The day-to-day reproducibility was overall better with the wearable sensor (mean ICC 0.87) compared with the application without using sensor or goniometer (mean ICC 0.82 and 0.60, respectively). This study suggests that smartphone-based measurements of wrist range of motion are feasible and highly accurate, making it a powerful tool for outcome studies after wrist surgery.

scholarly journals Validity and reliability of smartphone inclinometer applications for measurement of elbow range of motion in paediatric patients

2020 ◽  
Vol 14 (5) ◽  
pp. 488-494
Author(s):  
Denis P. Koong ◽  
Jillian Lee ◽  
Tegan L. Cheng ◽  
David G. Little
Keyword(s):  
Range Of Motion ◽  
Gold Standard ◽  
Assessment Tool ◽  
Interobserver Reliability ◽  
Intraclass Correlation ◽  
Smartphone Application ◽  
Absolute Difference ◽  
Visual Estimation ◽  
Paediatric Patients ◽  
Flexion Extension

Purpose Precise measurement of elbow range of motion (ROM) post-injury or surgery forms an important part of determining prognosis and the need for further intervention. Clinicians are increasingly incorporating smartphone use in our medical practice; we sought to determine if a smartphone goniometer application is a valid and reliable tool for assessment of elbow ROM in the paediatric patient, compared to visual and goniometer assessment. Methods In total, 20 paediatric patients (40 elbows) between six and 15 years of age with an elbow or forearm injury were included in this prospective series. Elbow flexion, extension, pronation and supination were measured independently by two orthopaedic clinicians. Measurements were taken from injured as well as unaffected side using a standardized technique, first with visual estimation and then using a universal goniometer (UG) and smartphone goniometer application Angle Meter via Google Play store (Smart Tool Factory, Istanbul, Turkey). Results There was excellent interobserver reliability for all three modalities, with average intraclass correlation coefficient (ICC) values greater than 0.90. Visual estimation had the lowest average ICC of 0.92, compared to 0.97 for UG and smartphone. Overall, there was excellent intraobserver reliability between the smartphone application and the gold standard UG for all elbow movements with ICCs ranging between 0.98 to 0.99 and mean absolute difference ranging from 1.1 ± 1.0° to 2.6 ± 1.9°. The smartphone application showed superior agreement over visual estimation when compared to the gold standard UG with lower mean differences and 95% limits of agreement (LOA) falling within 10°. Conclusions Our study demonstrates that a smartphone application is a valid and reliable assessment tool for measurement of elbow ROM in paediatric patients, and better than visualization alone. Level of evidence III

scholarly journals True Symphalangism of All Bilateral Proximal Interphalangeal Joints with Multi-carpal Coalition and Hypoplasia of the Ulnar Styloid Process

2021 ◽  
Author(s):  
Hao Yu ◽  
Chongjie Li
Keyword(s):  
Case Report ◽  
Range Of Motion ◽  
Styloid Process ◽  
Genetic Condition ◽  
Ulnar Styloid ◽  
Wrist Motion ◽  
First Case ◽  
Distal Interphalangeal ◽  
Carpal Coalition ◽  
Ulnar Styloid Process

AbstractSymphalangism is a rare genetic condition characterized by ankylosis of the proximal interphalangeal (PIP) or/and distal interphalangeal (DIP) joints. The patient presented with fused bilateral PIP joints and poor flexion, and an unsatisfactory range of motion (ROM) in the metacarpophalangeal (MP) and DIP joints. Concomitantly, multi-carpal coalition, proximal carpal malalignment, and ulnar styloid process abnormality were also observed in radiographs obtained at diagnosis. Rehabilitation training of the MP and DIP joints and a wrist supporter were recommended to achieve MP and DIP functional motion and restrict dramatic wrist motion. This is the first case report of symphalangism with multi-carpal coalition and abnormality of the ulnar styloid process to the best of our knowledge.

Accuracy of Wearable Sensor Technology in Hand Goniometry: A Systematic Review

Hand ◽  
2021 ◽  
pp. 155894472110146
Author(s):  
Francisco R. Avila ◽  
Rickey E. Carter ◽  
Christopher J. McLeod ◽  
Charles J. Bruce ◽  
Davide Giardi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Range Of Motion ◽  
Health Care Professionals ◽  
Inertial Sensors ◽  
Measurement Techniques ◽  
Infrared Camera ◽  
Wearable Devices ◽  
Sensor Technology ◽  
Accuracy Evaluation ◽  
Wearable Sensor

Background Wearable devices and sensor technology provide objective, unbiased range of motion measurements that help health care professionals overcome the hindrances of protractor-based goniometry. This review aims to analyze the accuracy of existing wearable sensor technologies for hand range of motion measurement and identify the most accurate one. Methods We performed a systematic review by searching PubMed, CINAHL, and Embase for studies evaluating wearable sensor technology in hand range of motion assessment. Keywords used for the inquiry were related to wearable devices and hand goniometry. Results Of the 71 studies, 11 met the inclusion criteria. Ten studies evaluated gloves and 1 evaluated a wristband. The most common types of sensors used were bend sensors, followed by inertial sensors, Hall effect sensors, and magnetometers. Most studies compared wearable devices with manual goniometry, achieving optimal accuracy. Although most of the devices reached adequate levels of measurement error, accuracy evaluation in the reviewed studies might be subject to bias owing to the use of poorly reliable measurement techniques for comparison of the devices. Conclusion Gloves using inertial sensors were the most accurate. Future studies should use different comparison techniques, such as infrared camera–based goniometry or virtual motion tracking, to evaluate the performance of wearable devices.

scholarly journals NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4482
Author(s):  
Rodrigo Colnago Contreras ◽  
Avinash Parnandi ◽  
Bruno Gomes Coelho ◽  
Claudio Silva ◽  
Heidi Schambra ◽  
...  
Keyword(s):  
Visual Analysis ◽  
Treatment Strategies ◽  
Motion Capture Data ◽  
Motion Sensors ◽  
Healthy Individuals ◽  
Stroke Patients ◽  
Close Collaboration ◽  
Domain Experts ◽  
Bedside Test ◽  
Detailed Assessment

A large number of stroke survivors suffer from a significant decrease in upper extremity (UE) function, requiring rehabilitation therapy to boost recovery of UE motion. Assessing the efficacy of treatment strategies is a challenging problem in this context, and is typically accomplished by observing the performance of patients during their execution of daily activities. A more detailed assessment of UE impairment can be undertaken with a clinical bedside test, the UE Fugl–Meyer Assessment, but it fails to examine compensatory movements of functioning body segments that are used to bypass impairment. In this work, we use a graph learning method to build a visualization tool tailored to support the analysis of stroke patients. Called NE-Motion, or Network Environment for Motion Capture Data Analysis, the proposed analytic tool handles a set of time series captured by motion sensors worn by patients so as to enable visual analytic resources to identify abnormalities in movement patterns. Developed in close collaboration with domain experts, NE-Motion is capable of uncovering important phenomena, such as compensation while revealing differences between stroke patients and healthy individuals. The effectiveness of NE-Motion is shown in two case studies designed to analyze particular patients and to compare groups of subjects.

scholarly journals Scotopic thresholds on dark-adapted chromatic perimetry in healthy aging and age-related macular degeneration

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Manjot Kaur Grewal ◽  
Shruti Chandra ◽  
Alan Bird ◽  
Glen Jeffery ◽  
Sobha Sivaprasad
Keyword(s):  
Macular Degeneration ◽  
Healthy Aging ◽  
Intraclass Correlation ◽  
Age Related Macular Degeneration ◽  
Healthy Individuals ◽  
Age Related ◽  
Rod Function ◽  
The Mean ◽  
Highly Correlated ◽  
Effect Of Age

AbstractTo evaluate the effect of aging, intra- and intersession repeatability and regional scotopic sensitivities in healthy and age-related macular degeneration (AMD) eyes. Intra- and intersession agreement and effect of age was measured in healthy individuals. The mean sensitivity (MS) and pointwise retinal sensitivities (PWS) within the central 24° with 505 nm (cyan) and 625 nm (red) stimuli were evaluated in 50 individuals (11 healthy and 39 AMD eyes). The overall intra- and intersession had excellent reliability (intraclass correlation coefficient, ICC > 0.90) and tests were highly correlated (Spearman rs = 0.75–0.86). Eyes with subretinal drusenoid deposit (SDD) had reduced PWS centrally, particularly at inferior and nasal retinal locations compared with controls and intermediate AMD (iAMD) without SDD. There was no difference in MS or PWS at any retinal location between iAMD without SDD and healthy individuals nor between iAMD with SDD and non-foveal atrophic AMD groups. Eyes with SDD have reduced rod function compared to iAMD without SDD and healthy eyes, but similar to eyes with non-foveal atrophy. Our results highlight rod dysfunction is not directly correlated with drusen load and SDD location.

Reliability and Validity of the Footprint Assessment Method Using Photoshop CS5 Software

2015 ◽  
Vol 105 (3) ◽  
pp. 226-232 ◽  
Author(s):  
Lourdes Gutiérrez-Vilahú ◽  
Núria Massó-Ortigosa ◽  
Lluís Costa-Tutusaus ◽  
Myriam Guerra-Balic
Keyword(s):  
Intraclass Correlation ◽  
Reliability And Validity ◽  
Standing Position ◽  
Assessment Method ◽  
Software Test ◽  
Healthy Population ◽  
Digital Recording ◽  
Healthy Individuals ◽  
San Jose ◽  
Footprint Analysis

Background Several sophisticated methods of footprint analysis currently exist. However, it is sometimes useful to apply standard measurement methods of recognized evidence with an easy and quick application. We sought to assess the reliability and validity of a new method of footprint assessment in a healthy population using Photoshop CS5 software (Adobe Systems Inc, San Jose, California). Methods Forty-two footprints, corresponding to 21 healthy individuals (11 men with a mean ± SD age of 20.45 ± 2.16 years and 10 women with a mean ± SD age of 20.00 ± 1.70 years) were analyzed. Footprints were recorded in static bipedal standing position using optical podography and digital photography. Three trials for each participant were performed. The Hernández-Corvo, Chippaux-Smirak, and Staheli indices and the Clarke angle were calculated by manual method and by computerized method using Photoshop CS5 software. Test-retest was used to determine reliability. Validity was obtained by intraclass correlation coefficient (ICC). Results The reliability test for all of the indices showed high values (ICC, 0.98–0.99). Moreover, the validity test clearly showed no difference between techniques (ICC, 0.99–1). Conclusions The reliability and validity of a method to measure, assess, and record the podometric indices using Photoshop CS5 software has been demonstrated. This provides a quick and accurate tool useful for the digital recording of morphostatic foot study parameters and their control.

Validity and reliability of a wearable-controlled serious game and goniometer for telemonitoring of wrist fracture rehabilitation

2021 ◽  
Author(s):  
Henriëtte A. W. Meijer ◽  
Maurits Graafland ◽  
Miryam C. Obdeijn ◽  
Marlies P. Schijven ◽  
J. Carel Goslings
Keyword(s):  
Range Of Motion ◽  
Intraclass Correlation ◽  
Internal Validity ◽  
Wrist Fracture ◽  
Serious Game ◽  
Reference Standard ◽  
Validity And Reliability ◽  
Good Reliability ◽  
Rater Reliability ◽  
Flexion Extension

Abstract Purpose To determine the validity of wrist range of motion (ROM) measurements by the wearable-controlled ReValidate! wrist-rehabilitation game, which simultaneously acts as a digital goniometer. Furthermore, to establish the reliability of the game by contrasting ROM measurements to those found by medical experts using a universal goniometer. Methods As the universal goniometer is considered the reference standard, inter-rater reliability between surgeons was first determined. Internal validity of the game ROM measurements was determined in a test–retest setting with healthy volunteers. The reliability of the game was tested in 34 patients with a restricted range of motion, in whom the ROM was measured by experts as well as digitally. Intraclass-correlation coefficients (ICCs) were determined and outcomes were analyzed using Bland–Altman plots. Results Inter-rater reliability between experts using a universal goniometer was poor, with ICCs of 0.002, 0.160 and 0.520. Internal validity testing of the game found ICCs of − 0.693, 0.376 and 0.863, thus ranging from poor to good. Reliability testing of the game compared to medical expert measurements, found that mean differences were small for the flexion–extension arc and the radial deviation-ulnar deviation arc. Conclusion The ReValidate! game is a reliable home-monitoring device digitally measuring ROM in the wrist. Interestingly, the test–retest reliability of the serious game was found to be considerably higher than the inter-rater reliability of the reference standard, being healthcare professionals using a universal goniometer. Trial registration number (internal hospital registration only) MEC-AMC W17_003 #17.015.

scholarly journals Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7497
Author(s):  
Roy T. Shahar ◽  
Maayan Agmon
Keyword(s):  
Gait Analysis ◽  
Gold Standard ◽  
Concurrent Validity ◽  
Gait Cycle ◽  
Intraclass Correlation ◽  
Smartphone Application ◽  
Healthy Adults ◽  
Community Dwelling ◽  
Human Gait ◽  
Spatio Temporal

Spatio-temporal parameters of human gait, currently measured using different methods, provide valuable information on health. Inertial Measurement Units (IMUs) are one such method of gait analysis, with smartphone IMUs serving as a good substitute for current gold-standard techniques. Here we investigate the concurrent validity of a smartphone placed in a front-facing pocket to perform gait analysis. Sixty community-dwelling healthy adults equipped with a smartphone and an application for gait analysis completed a 2-min walk on a marked path. Concurrent validity was assessed against an APDM mobility lab (APDM Inc.; Portland, OR, USA). Bland–Altman plots and intraclass correlation coefficients (agreement and consistency) for gait speed, cadence, and step length indicate good to excellent agreement (ICC2,1 > 0.8). For right leg stance and swing % of gait cycle and double support % of gait cycle, results were moderate (0.52 < ICC2,1 < 0.62). For left leg stance and swing % of gait cycle left results show poor agreement (ICC2,1 < 0.5). Consistency of results was good to excellent for all tested parameters (ICC3,1 > 0.8). Thus we have a valid and reliable instrument for measuring healthy adults’ spatio-temporal gait parameters in a controlled walking environment.

scholarly journals Radiological Classification and Clinical Results of Arthroscopic and Open Surgical Release for Elbow Osteoarthritis: A Two-Center Comparative Case Series

2021 ◽  
Author(s):  
Masahiro Tatebe ◽  
Akimasa Morita ◽  
Toshikazu Kurahashi ◽  
Hitoshi Hirata
Keyword(s):  
Range Of Motion ◽  
Open Surgery ◽  
Arthroscopic Surgery ◽  
Intraclass Correlation ◽  
Case Series ◽  
Clinical Results ◽  
Ectopic Ossification ◽  
Surgery Group ◽  
Elbow Osteoarthritis ◽  
Group A

Abstract Background This study aimed to compare the image classification and clinical results in cases of debridement arthroplasty for elbow osteoarthritis and to compare between open and arthroscopic surgery performed at two independent facilities. Methods Of the 51 patients who underwent surgery for elbow osteoarthritis performed by two doctors, 36 patients whom we were able to observe for more than 6 months were included. One doctor performed open surgery at one hospital, while another doctor performed arthroscopic surgery at the other hospital. There were 15 cases of open surgery (group O) and 21 cases of arthroscopic surgery (group A). All patients were examined for the range of motion, Hand20 score, and pain. The degree of osteoarthritis was examined using the Broberg and Morrey classification and Hastings and Rettig classification. The intra- and interobserver degree of agreement of the two classifications were analyzed using intraclass correlation coefficients.ResultsThe range of motion improved in both groups. There were no significant differences between the two groups with respect to incidence of ulnar symptoms, operation time, postoperative Hand20 score, postoperative pain, and degree of radiological osteoarthritis. The intra- and interobserver degree of agreement for radiological classifications were moderate to substantial and moderate, respectively. There was no correlation between the clinical results and radiological classifications. One patient in group A showed ectopic ossification but no serious complications or adverse events, such as nerve damage, were observed in either group. ConclusionsAt the time of the final follow-up, nearly the same results were observed in both groups. No relationship was found between symptoms and radiological osteoarthritis classification scores. Level of EvidenceTreatment study Level III

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