Assessment of range and quality of neck movement using a smartphone-based application

Validity of an inertial measurement unit for the assessment of range and quality of movement during head and thoracic spine movements

BACKGROUND

Patients with spinal pain often exhibit movement limitations and altered motor control, which can be challenging to measure accurately in clinical practice. Inertial measurement sensors present a promising new opportunity to develop valid, low-cost, and easy-to-use methods for assessing and monitoring spinal motion in a clinical setting.

AIM

This study aimed to investigate the agreement of an inertial sensor and a 3D camera system for assessing the range of motion (ROM) and quality of movement (QOM) in head and trunk single-plane movements.

METHODS

Thirty-three healthy, pain-free volunteers were included. Each participant performed movements of the head (cervical flexion, extension, and lateral flexion) and trunk (trunk flexion, extension, rotation, and lateral flexion), which were simultaneously recorded by a 3D camera system and an inertial measurement unit (MOTI, Aalborg, Denmark). Agreement and consistency were analyzed for ROM and QOM by determining intraclass correlation coefficients (ICC), mean bias, and with Bland-Altman plots.

RESULTS

The agreement between systems was excellent for all movements (ICC between 0.91 and 1.00) for ROM and good to excellent for the QOM (ICC between 0.84 and 0.95). The mean bias for all movements (0.1-0.8°) was below the minimum acceptable difference between devices. The Bland-Altman plot indicated that MOTI systematically measured a slightly greater ROM and QOM than the 3D camera system for all neck and trunk movements.

CONCLUSION

This study showed that MOTI is a feasible and potentially applicable option to assess ROM and QOM for head and trunk movements in experimental and clinical settings.

A diverse and multi-modal gait dataset of indoor and outdoor walks acquired using multiple cameras and sensors

Gait datasets are often limited by a lack of diversity in terms of the participants, appearance, viewing angle, environments, annotations, and availability. We present a primary gait dataset comprising 1,560 annotated casual walks from 64 participants, in both indoor and outdoor real-world environments. We used two digital cameras and a wearable digital goniometer to capture visual as well as motion signal gait-data respectively. Traditional methods of gait identification are often affected by the viewing angle and appearance of the participant therefore, this dataset mainly considers the diversity in various aspects (e.g., participants' attributes, background variations, and view angles). The dataset is captured from 8 viewing angles in 45° increments along-with alternative appearances for each participant, for example, via a change of clothing. The dataset provides 3,120 videos, containing approximately 748,800 image frames with detailed annotations including approximately 56,160,000 bodily keypoint annotations, identifying 75 keypoints per video frame, and approximately 1,026,480 motion data points captured from a digital goniometer for three limb segments (thigh, upper arm, and head).

Variability of Active Cervical Range of Motion Within and Between Days in Healthy Participants: A Prospective Observational Study

OBJECTIVE

The purpose of this study was to determine the intraday and interday variability and systematic change over the day of active cervical range of motion (aCROM) measurements in asymptomatic persons using a clinically applicable measurement device.

METHODS

A prospective observational study was performed. Sixteen adults (8 men and 8 women, median age 51 years) without neck pain in the last 3 months were recruited in 2 physiotherapy practices. Active cervical range of motion was estimated using the Apple iPhone application "3D Range of Motion." Measurements were performed 3 times a day for 7 days and spread over a period of 3 weeks. Mean values of aCROM were calculated. Intraday and interday variability was estimated by calculating limits of agreement.

RESULTS

The limits of agreement for intraday variability ranged from ±12.1° for left rotation to ±15.5° for total rotation. For interday variability, the limits of agreement ranged from ±14.2° for right rotation to ±20.1° for total rotation. No systematic change over the day was found.

CONCLUSION

This study showed substantial intraday and interday variability of aCROM measurements in asymptomatic people. No trend toward an increased or decreased aCROM was observed during the course of the day. When interpreting aCROM values, clinicians should consider the degree of variation in aCROM measurements over time.

Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses

Background

Smartphone applications offer an accessible and practical option to measure neck range of motion (ROM) and are becoming more commonly used in clinical practice. We assessed the validity, reliability, and responsiveness of smartphone applications (apps) to measure neck ROM in people with and without neck pain.

Methods

A comprehensive electronic search strategy of the main electronic databases was conducted from inception until June 2021. The identified studies investigated apps which measured neck ROM, and evaluated their validity, reliability, or responsiveness, in adult participants with neck pain or asymptomatic individuals. Two independent reviewers determined eligibility and risk of bias following COSMIN guidelines. The quality of evidence was assessed according to the GRADE approach.

Results

Eleven studies, with a total of 376 participants were included. Three types of apps were identified: clinometer apps, compass apps, and other apps of ‘adequate’ to ‘doubtful’ risk of bias. A meta-analysis revealed ‘good’ to ‘excellent’ intra-rater and inter-rater reliability across the three types of apps. The overall validity was rated from ‘moderate’ to ‘very high’ across all apps. The level of evidence was rated as ‘low’ to ‘very low’.

Conclusion

Smartphone applications showed sufficient intra-rater reliability, inter-rater reliability, and validity to measure neck ROM in people with and without neck pain. However, the quality of evidence and the confidence in the findings are low. High-quality research with large sample sizes is needed to further provide evidence to support the measurement properties of smartphone applications for the assessment of neck ROM.

Study registration

Following indications of Prisma-P guidelines, this protocol was registered in PROSPERO on 1/05/2021 with the number CRD42021239501.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12891-022-05066-6.

The Telemedicine-Based Pediatric Examination of the Neck and Upper Limbs: A Narrative Review

With the COVID-19 pandemic hastening the adoption of telemedicine into clinical practice, it has also prompted an abundance of new literature highlighting its capabilities and limitations. The purpose of this review is to summarize the current state of the literature on telemedicine applied in the context of a musculoskeletal examination of the neck and upper limbs for children 3 to 18 years old. The PubMed and ScienceDirect databases were searched for relevant articles from January 2015 to August 2021 using a combination of keywords and nested searches. General examination components including inspection, guided self-palpation, range of motion, sensory and motor examination, as well as special testing are described. Although the literature is focused mainly on adult populations, we describe how each component of the exam can be reliably incorporated into a virtual appointment specific to pediatric patients. Caregivers are generally needed for most consultations, but certain maneuvers can be self-performed by older children and adolescents alone. There is general feasibility, validity, and substantial reliability in performing most examination components of the upper limbs remotely, except for the shoulder exam. Compared to those made in person, clinical diagnoses established virtually were found to be either the same or similar in most cases, and management decisions also had high agreement. Despite this, there is evidence that some pediatric providers may not be able to collect all the information needed from a telemedicine visit to make a complete clinical assessment. Lastly, currently available smartphone applications measuring joint range of motion were found to have high reliability and validity. This narrative review not only establishes a foundation for a structured pediatric musculoskeletal examination, but also aims to increase physicians' confidence in incorporating telemedicine into their standard of care.