An inertial sensor-based protocol for spinal range of motion measurements

2021 ◽  
Author(s):  
PJ Mulcahey ◽  
PT Knott ◽  
A Madiraju ◽  
N Haque ◽  
DS Haoson ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Healthy Subjects ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Rater Reliability ◽  
Spinal Motion ◽  
Flexion Extension ◽  
Motion Measurements ◽  
Baseline Error ◽  
Bicycle Wheel

To develop a protocol for assessing spinal range of motion using an inertial sensor device. The baseline error of an inertial sensor was assessed using a bicycle wheel. Nineteen healthy subjects (12 females and 7 males, average age 18.2 ± 0.6 years) were then prospectively enrolled in a study to assess the reliability of an inertial sensor-based method for assessing spinal motion. Three raters each took three measurements of subjects’ flexion/extension, right and left bending, and right and left rotation. Afterwards, one trial from each set of measurements was excluded. Correlations and the ICC (3,1) were used to assess intra-rater reliability, and ICC (3,2) was used to assess inter-rater reliability of the protocol. The baseline error of the sensor was 1.45°. Correlation and ICC (3,1) values for the protocol all exceeded 0.888, indicating high intra-rater reliability. ICC (3,2) values for the protocol exceed 0.87, indicating high inter-rater reliability. Our study presents both a paradigm for assessing the baseline error of inertial sensors and a protocol for assessing motion of the spine using an inertial sensing device.

scholarly journals Validity and reliability of inertial sensors for elbow and wrist range of motion assessment

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9687
Author(s):  
Vanina Costa ◽  
Óscar Ramírez ◽  
Abraham Otero ◽  
Daniel Muñoz-García ◽  
Sandra Uribarri ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Inertial Sensors ◽  
High Reliability ◽  
Intraclass Correlation ◽  
Active Movement ◽  
Neutral Position ◽  
Maximum Difference ◽  
Validity And Reliability ◽  
Rater Reliability ◽  
Flexion Extension

Background Elbow and wrist chronic conditions are very common among musculoskeletal problems. These painful conditions affect muscle function, which ultimately leads to a decrease in the joint’s Range Of Motion (ROM). Due to their portability and ease of use, goniometers are still the most widespread tool for measuring ROM. Inertial sensors are emerging as a digital, low-cost and accurate alternative. However, whereas inertial sensors are commonly used in research studies, due to the lack of information about their validity and reliability, they are not widely used in the clinical practice. The goal of this study is to assess the validity and intra-inter-rater reliability of inertial sensors for measuring active ROM of the elbow and wrist. Materials and Methods Measures were taken simultaneously with inertial sensors (Werium™ system) and a universal goniometer. The process involved two physiotherapists (“rater A” and “rater B”) and an engineer responsible for the technical issues. Twenty-nine asymptomatic subjects were assessed individually in two sessions separated by 48 h. The procedure was repeated by rater A followed by rater B with random order. Three repetitions of each active movement (elbow flexion, pronation, and supination; and wrist flexion, extension, radial deviation and ulnar deviation) were executed starting from the neutral position until the ROM end-feel; that is, until ROM reached its maximum due to be stopped by the anatomy. The coefficient of determination (r2) and the Intraclass Correlation Coefficient (ICC) were calculated to assess the intra-rater and inter-rater reliability. The Standard Error of the Measurement and the Minimum Detectable Change and a Bland–Altman plots were also calculated. Results Similar ROM values when measured with both instruments were obtained for the elbow (maximum difference of 3° for all the movements) and wrist (maximum difference of 1° for all the movements). These values were within the normal range when compared to literature studies. The concurrent validity analysis for all the movements yielded ICC values ≥0.78 for the elbow and ≥0.95 for the wrist. Concerning reliability, the ICC values denoted a high reliability of inertial sensors for all the different movements. In the case of the elbow, intra-rater and inter-rater reliability ICC values range from 0.83 to 0.96 and from 0.94 to 0.97, respectively. Intra-rater analysis of the wrist yielded ICC values between 0.81 and 0.93, while the ICC values for the inter-rater analysis range from 0.93 to 0.99. Conclusions Inertial sensors are a valid and reliable tool for measuring elbow and wrist active ROM. Particularly noteworthy is their high inter-rater reliability, often questioned in measurement tools. The lowest reliability is observed in elbow prono-supination, probably due to skin artifacts. Based on these results and their advantages, inertial sensors can be considered a valid assessment tool for wrist and elbow ROM.

Feasibility of an iPhone-based application for knee joint goniometry during gait in a stroke patient (Preprint)

2018 ◽  
Author(s):  
Claudia Nava ◽  
Patrizio Sale ◽  
Vittorio Leggero ◽  
Simona Ferrante ◽  
Cira Fundaro' ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Stroke Patient ◽  
Reference Method ◽  
Flexion Angle ◽  
Good Reliability ◽  
Rater Reliability ◽  
Maximum Extension ◽  
Angle Measurements ◽  
Hemiparetic Gait ◽  
Flexion Extension

BACKGROUND In recent years, different smartphone apps have been validated for joint goniometry, but none for goniometric assessment of gait after stroke. OBJECTIVE The aims of our work were to assess:1) to assess intra-rater reliability of an image-based goniometric app – DrGoniometer- in the measurement of the extension, flexion angles and range of motion of the knee during the hemiparetic gait of a stroke patient; (2) its validity comparing to the reference method (electrogoniometer) for flexion-extension excursion measurements; and the intra-rater agreement in the choice of the video frames. METHODS An left-hemiparetic inpatient following haemorrhagic stroke was filmed using the app while walking on a linear path. An electrogoniometer was fixed on the medial face of the affected knee in order to record the dynamic goniometry during gait. Twenty-one raters, blinded to measurements, were recruited to rate knee angle measurements from video acquired with DrGoniometer. Each rater repeated the same procedure twice, the second one at least one day after the first measure. RESULTS Results showed that flexion angle measurements are reliable (ICC95%=0.66, 0.34;0.85; SEM=4°), and adequately precise (CV=14%). Extension angles measurements demonstrated moderate reliability and higher degree of variation (ICC=0.51, 0.09;0.77; SEM 4°; CV=53%). ROM values were: ICC=0.23 (-0.21;0.60); CV=20%. Accuracy of DrGoniometer compared to the electrogoniometer was 7.3±4.7°. The selection of maximum extension frame revealed an accordance of 58% and 72% within a range of ±5 or ±10 frames, respectively; while the best flexion frame reported 86% of agreement for both range of 5 and 10 frames. CONCLUSIONS The results demonstrated moderate to good reliability concerning the maximum extension and flexion angles, while assessing ROM DrGoniometer showed poor intra-rater reliability. Flexion angle measurements seemed to be reliable according to ICC and SEM values and more precise with a limited dispersion of results DrGoniometer revealed a good accuracy in the measurement of range of motion. The agreement of the maximal extension frame was anyway adequate within 5 frames (59%) and noticeably increased within 10 frames (72%). In conclusion, DrGoniometer was found to be a valid and reliable method for assessing knee angles during hemiparetic gait. Further studies are necessary to investigate inter-rater reliability and confirm our results.

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 Finger and foot tapping sensor system for objective motor assessment

2018 ◽  
Vol 75 (1) ◽  
pp. 68-77 ◽  
Author(s):  
Milica Djuric-Jovicic ◽  
Nenad Jovicic ◽  
Sasa Radovanovic ◽  
Milica Jecmenica-Lukic ◽  
Minja Belic ◽  
...  
Keyword(s):  
Healthy Subjects ◽  
Motor Performance ◽  
Graphical Representation ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Quantitative Estimation ◽  
Objective Assessment ◽  
Force Sensor ◽  
Neurological Patient ◽  
Foot Tapping

Background/Aim. Finger tapping test is commonly used in neurological examinations as a test of motor performance. The new system comprising inertial and force sensors and custom proprietary software was developed for quantitative estimation and assessment of finger and foot tapping tests. The aim of this system was to provide diagnosis support and objective assessment of motor function. Methods. Miniature inertial sensors were placed on fingertips and used for measuring finger movements. A force sensor was placed on the fingertip of one finger, in order to measure the force during tapping. For foot tapping assessment, an inertial sensor was mounted on the subject?s foot, which was placed above a force platform. By using this system, various parameters such as a number of taps, tapping duration, rhythm, open and close speed, the applied force and tapping angle, can be extracted for detailed analysis of a patient?s motor performance. The system was tested on 13 patients with Parkinson?s disease and 14 healthy controls. Results. The system allowed easy measurement of listed parameters, and additional graphical representation showed quantitative differences in these parameters between neurological patient and healthy subjects. Conclusion. The novel system for finger and foot tapping test is compact, simple to use and efficiently collects patient data. Parameters measured in patients can be compared to those measured in healthy subjects, or among groups of patients, or used to monitor progress of the disease, or therapy effects. Created data and scores could be used together with the scores from clinical tests, providing the possibility for better insight into the diagnosis.

scholarly journals Smartphone Application with Virtual Reality Goggles for the Reliable and Valid Measurement of Active Craniocervical Range of Motion

Diagnostics ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 71 ◽  
Author(s):  
Ke-Vin Chang ◽  
Wei-Ting Wu ◽  
Mei-Chu Chen ◽  
Yi-Chi Chiu ◽  
Der-Sheng Han ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Range Of Motion ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Random Effect Model ◽  
Altman Plot ◽  
Rater Reliability ◽  
Hybrid Device ◽  
Flexion Extension ◽  
The Right

Objective: This study aimed to determine the intra-rater and inter-rater reliability and validity of a hybrid device, combining virtual reality goggles, a magnetometer and an inclinometer application for smartphones, to measure craniocervical range. Summary of Background Data: Accurate evaluation of craniocervical range of motion is important for early detection of certain diseased conditions and monitoring the progress of interventions. The universal goniometer is widely used for the measurement but it requires experienced practitioners. Whether a combination of virtual reality goggles and smartphone applications can provide the same or better performance compared with the goniometer is still unknown. Methods: Forty-one healthy adults from the department of physical medicine and rehabilitation were recruited for craniocervical range examination (flexion, extension, side-bending to the right or left and rotating to the right or left) by using the hybrid device and universal goniometer. Using the hybrid device, repeated measurements were performed twice by a primary rater and once by a second rater. The primary rater also conducted a measurement using the universal goniometer in the same cohort. The intra-rater and inter-rater reliability (intra-class correlation coefficient (ICC)) were calculated using the two-way random effect model, whereas the validity was examined by the Pearson correlation coefficient and Bland-and-Altman plot. The interval between the first and second sessions of the measurement for intra-rater reliability was set at 30 min. Results: Excellent intra-rater (ICC ≥ 0.925) and inter-rater (ICC ≥ 0.880) reliability was noted for the hybrid device. The minimal detectable changes from intra-observer and inter-observer comparisons ranged between 4.12° and 7.42° in all six directions. The Bland-and-Altman plot revealed small mean differences (≤1.68°) between the hybrid device and universal goniometer. Both instruments had highly correlated measurements of craniocervical motion (r values ≥ 0.918). Conclusion: For healthy participants, excellent intra-rater and inter-rater reliability was noted for the hybrid device, and the measurements were consistent with the universal goniometer measurements. Future studies are needed to examine whether the device can perform similarly for patients with neck disorders.

scholarly journals SPINAL RANGE OF MOTION AND BACK PAIN IN FEMALE ARTISTIC GYMNASTS DURING BACK WALKOVERS AND BACK HANDSPRINGS

2020 ◽  
Vol 8 (4_suppl3) ◽  
pp. 2325967120S0022
Author(s):  
Emily A Sweeney ◽  
Morgan N Potter ◽  
Richard E Pimentel ◽  
James J Carollo ◽  
David R Howell
Keyword(s):  
Back Pain ◽  
Range Of Motion ◽  
Sagittal Plane ◽  
Wearable Sensors ◽  
Sensor Data ◽  
Balance Beam ◽  
Spinal Motion ◽  
The Past ◽  
Flexion Extension ◽  
History Of

Background: Back pain is a common complaint among gymnasts. Gymnastics skills require large amounts of spine flexion, extension, rotation and compression. The combination of these movements in a repetitive fashion during gymnastics may contribute to the development of back pain. Gymnasts perform unique skills on various equipment and surfaces, which makes their movements difficult to evaluate using traditional movement analysis approaches. Hypothesis/Purpose: Our purpose was to measure gymnasts’ movement patterns in their native environment using wearable sensors. Specifically, we examined spine range of motion (ROM) during back walkovers (BWO) and back handsprings (BHS) on the floor and balance beam. We hypothesized that female youth gymnasts with a recent history of back pain would have larger spine ROM compared to gymnasts without back pain when performing these skills. Methods: Female artistic gymnasts ages 8 to 18 years in the Junior Olympic USA Gymnastics program participated in the study. We grouped gymnasts into two groups: those having back pain within the past 12 months and those with no reported back pain in the past 12 months. Gymnasts performed 3 repetitions of BWO and BHS on floor and balance beam while wearing APDM Opal V2 wearable sensors. A BWO requires a controlled bridge kickover while a BHS requires the athlete to jump backwards to her hands (Figure 1). Spine kinematics were then processed via Moveo Explorer. Valid spine sagittal plane maximums, minimums, and ROM of each skill repetition were compared between groups via Kruskal Wallis analysis of variance. Results: Seventeen participants (6 with back pain) completed BWOs and BHSs with acceptable sensor data. There were no demographic differences between the two groups for age, height, weight, competition level, or years of experience (p≥0.129, Table 1). During BWO skills, gymnasts with back pain had greater peak extension and greater ROM in the sagittal plane of the spine (p≤0.032, Figure 2). There were no differences between groups in peak extension, peak flexion, or ROM during BHS skills (p≥0.054, Figure 2). Conclusion: Gymnasts with a history of back pain had increased spinal motion when performing BWO skills. To perform a BWO, gymnasts must have higher levels of shoulder, spine, and hip flexibility, which may relate to back pain. This study suggests the need for future studies to evaluate if increased spinal motion during gymnastics is a contributing factor to the development of back pain. [Figure: see text][Table: see text][Figure: see text]

scholarly journals The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7238
Author(s):  
Peter Beshara ◽  
Judy F. Chen ◽  
Andrew C. Read ◽  
Pierre Lagadec ◽  
Tian Wang ◽  
...  
Keyword(s):  
Construct Validity ◽  
Range Of Motion ◽  
Inertial Sensors ◽  
Objective Assessment ◽  
Reliability And Validity ◽  
Human Movement ◽  
Microsoft Kinect ◽  
Rater Reliability ◽  
Shoulder Range Of Motion ◽  
Shoulder Flexion

Background: Objective assessment of shoulder joint active range of motion (AROM) is critical to monitor patient progress after conservative or surgical intervention. Advancements in miniature devices have led researchers to validate inertial sensors to capture human movement. This study investigated the construct validity as well as intra- and inter-rater reliability of active shoulder mobility measurements using a coupled system of inertial sensors and the Microsoft Kinect (HumanTrak). Methods: 50 healthy participants with no history of shoulder pathology were tested bilaterally for fixed and free ROM: (1) shoulder flexion, and (2) abduction using HumanTrak and goniometry. The repeat testing of the standardised protocol was completed after seven days by two physiotherapists. Results: All HumanTrak shoulder movements demonstrated adequate reliability (intra-class correlation (ICC) ≥ 0.70). HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.93 and 0.85) than goniometry (ICCs: 0.75 and 0.53) for measuring free shoulder flexion and abduction AROM, respectively. Similarly, HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.81 and 0.94) than goniometry (ICCs: 0.70 and 0.93) for fixed flexion and abduction AROM, respectively. Construct validity between HumanTrak and goniometry was adequate except for free abduction. The differences between raters were predominately acceptable and below ±10°. Conclusions: These results indicated that the HumanTrak system is an objective, valid and reliable way to assess and track shoulder ROM.

scholarly journals Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5143 ◽  
Author(s):  
Lukas Adamowicz ◽  
Reed Gurchiek ◽  
Jonathan Ferri ◽  
Anna Ursiny ◽  
Niccolo Fiorentino ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Hip Joint ◽  
Inertial Sensor ◽  
Estimation Error ◽  
Relative Orientation ◽  
Joint Angles ◽  
Alignment Algorithms ◽  
Sensor Orientation ◽  
Flexion Extension ◽  
Optical Motion

Wearable sensor-based algorithms for estimating joint angles have seen great improvements in recent years. While the knee joint has garnered most of the attention in this area, algorithms for estimating hip joint angles are less available. Herein, we propose and validate a novel algorithm for this purpose with innovations in sensor-to-sensor orientation and sensor-to-segment alignment. The proposed approach is robust to sensor placement and does not require specific calibration motions. The accuracy of the proposed approach is established relative to optical motion capture and compared to existing methods for estimating relative orientation, hip joint angles, and range of motion (ROM) during a task designed to exercise the full hip range of motion (ROM) and fast walking using root mean square error (RMSE) and regression analysis. The RMSE of the proposed approach was less than that for existing methods when estimating sensor orientation ( 12 . 32 ∘ and 11 . 82 ∘ vs. 24 . 61 ∘ and 23 . 76 ∘ ) and flexion/extension joint angles ( 7 . 88 ∘ and 8 . 62 ∘ vs. 14 . 14 ∘ and 15 . 64 ∘ ). Also, ROM estimation error was less than 2 . 2 ∘ during the walking trial using the proposed method. These results suggest the proposed approach presents an improvement to existing methods and provides a promising technique for remote monitoring of hip joint angles.

Sign in / Sign up

Export Citation Format

Share Document