Video-based Goniometer Applications for Measuring Knee Joint Angles during Walking in Neurological Patients: A Validity, Reliability and Usability Study.

Easy-to-use evaluation of Range Of Motion (ROM) during walking is necessary to make decisions during neurological rehabilitation programs and during follow-up visits in clinical and remote settings. This study discussed goniometer applications (DrGoniometer and Angles - Video Goniometer) that measure knee joint ROM during walking through smartphone cameras. The primary aim of the study is to test the inter-rater and intra-rater reliability of the collected measurements as well as their concurrent validity with an electro-goniometer. The secondary aim is to evaluate the usability of the two mobile applications. A total of 22 patients with Parkinson's disease (18 males, age 72 (8) years), 22 post-stroke patients (17 males, age 61 (13) years), and as many healthy volunteers (8 males, age 45 (5) years) underwent knee joint ROM evaluations during walking. Clinicians and inexperienced examiners used the two mobile applications to calculate the ROM, and then rated their perceived usability through the System Usability Scale (SUS). Intraclass correlation coefficients (ICC) and correlation coefficients (corr) were calculated. Both applications showed good reliability (ICC > 0.69) and validity (corr > 0.61), and acceptable usability (SUS > 68). Smartphone-based video goniometers could be used to assess the knee ROM during walking in neurological patients, because of their acceptable degree of reliability, validity and usability.

Spiral drawing analysis with a smart ink pen to identify Parkinson's disease fine motor deficits.

Introduction: Since the uptake of digitizers, quantitative spiral drawing assessment allowed gaining insight into motor impairments related to Parkinson's disease. However, the reduced naturalness of the gesture and the poor user-friendliness of the data acquisition hamper the adoption of such technologies in the clinical practice. To overcome such limitations, we present a novel smart ink pen for spiral drawing assessment, intending to better characterize Parkinson's disease motor symptoms. The device, used on paper as a normal pen, is enriched with motion and force sensors. Methods: Forty-five indicators were computed from spirals acquired from 29 Parkinsonian patients and 29 age-matched controls. We investigated between-group differences and correlations with clinical scores. We applied machine learning classification models to test the indicators ability to discriminate between groups, with a focus on model interpretability. Results: Compared to control, patients' drawings were characterized by reduced fluency and lower but more variable applied force, while tremor occurrence was reflected in kinematic spectral peaks selectively concentrated in the 4-7 Hz band. The indicators revealed aspects of the disease not captured by simple trace inspection, nor by the clinical scales, which, indeed, correlate moderately. The classification achieved 94.38% accuracy, with indicators related to fluency and power distribution emerging as the most important. Conclusion: Indicators were able to significantly identify Parkinson's disease motor symptoms. Our findings support the introduction of the smart ink pen as a time-efficient tool to juxtapose the clinical assessment with quantitative information, without changing the way the classical examination is performed.

A multimodal training with visual biofeedback in subacute stroke survivors: a randomized controlled trial.

BACKGROUND: Early interventions maximizing patient's involvement are essential to promote gait restoration and motor recovery after stroke. AIM: The aim of this study is to evaluate the effects of a multimodal biofeedback training involving cycling augmented by functional electrical stimulation (FES) and balance exercises on walking ability and motor recovery. DESIGN: Randomized controlled trial (NCT02439515). SETTING: Inpatient rehabilitation facility. POPULATION: Subacute stroke survivors (less than 6 months from the first event) aged up to 90 years old. METHODS: Sixty-eight participants were randomly allocated to an experimental group, performing 15 sessions of biofeedback FES-cycling training followed by 15 sessions of biofeedback balance training (20 minutes each) in addition to usual care (70 minutes), and a control group performing 30 sessions (90 minutes) of usual care. Participants were evaluated before training, after 15 sessions, after 30 sessions, and at 6-month follow-up through: gait speed (primary outcome), spatiotemporal gait parameters, Six-Minute Walking Test, Functional Independence Measure, Motricity Index, Trunk Control Test, Berg Balance Scale, and Fall Efficacy Scale. RESULTS: Both groups significantly improved over time, but no group and interaction effects were found for any outcomes. The 73% of the experimental group achieved a clinically meaningful change in gait speed compared to the 38% of the control group (P=0.048). These percentages were even more unbalanced for patients with a moderate to severe gait impairment at baseline (91% versus 36%; P=0.008). CONCLUSIONS: The multimodal biofeedback training was not statistically superior to usual care, showing only a positive trend in favor of the experimental group on locomotion recovery. Patients initially not able to walk might be the best candidates for such a training. CLINICAL REHABILITATION IMPACT: The multimodal biofeedback training is a task-specific, repetitive and intensive training requiring a minimal supervision, which might result in a lower staff to patient ratio if organized in group sessions. Therefore, it can represent a good alternative for early stroke rehabilitation.

Smartphone applications validated for joint angle measurement: a systematic review.

Mobile health apps are growing constantly in number and popularity. Some mobile apps are used for clinical assessment, and consequently need to be verified and validated appropriately, along with the mobile platform, to ensure their safe and effective operation. We review the current literature on available smartphone goniometric apps validated for joint angle measurement and their main psychometric characteristics. A literature search of Medline and Scopus databases was performed to select papers on smartphone commercial apps validated for joint angle measurement and relevant to Physical Medicine and Rehabilitation. A platform search verified whether the selected apps were still available for download. The literature search identified 126 papers in Medline and 113 in Scopus, 49 of which were selected. They dealt with the validation of 23 apps, eight of which were no longer available and therefore excluded from the review. Psychometric characteristics of the selected apps were robust, but heterogeneity of the studies did not enable comparisons between apps to identify the most valid one. The increase in the number of apps and validation studies highlights the growing interest in this new approach for measuring body angles. Given the precarious commercial availability of some apps, when research is the goal, it is advisable to select apps with the longest durability. A need continues to exist for validation studies on available apps focused on goniometric measurement in gait or during performance of therapeutic exercises in neurological and orthopedic disorders.

Development of the Italian version of the trunk impairment scale in subjects with acute and chronic stroke. Cross-cultural adaptation, reliability, validity and responsiveness.

PURPOSE: To cross-culturally adapt and psychometrically analyse the Italian version of the Trunk Impairment Scale on acute (cohort 1) and chronic stroke patients (cohort 2). METHODS: The Trunk Impairment Scale was culturally adapted in accordance with international standards. The psychometric testing included: internal consistency (Cronbach's alpha), inter- and intra-rater reliability (intraclass correlation coefficient; standard error of measurement and minimal detectable change), construct validity by comparing Trunk Impairment Scale score with Barthel Index, motor subscale of Functional Independence Measure, and Trunk Control Test (Pearson's correlation), and responsiveness (Effect Size, Effect Size with Guyatt approach, standardized response mean, and Receiver Operating Characteristics curves). RESULTS: The Trunk Impairment Scale was administered to 125 and 116 acute and chronic stroke patients, respectively. Internal consistency was acceptable (α > 0.7), inter- and intra-rater reliability (ICC > 0.9, Minimal Detectable Change for total score < 1.6 in cohort 1 and < 1.1 in cohort 2) were excellent. The construct validity showed acceptable correlations (r > 0.4) with all scales but the motor Functional Independence Measure in cohort 2. Distribution-based methods showed large effects in cohort 1 and moderate to large effects in cohort 2. The Minimal Important Difference was 3.5 both from patient's and therapist's perspective in cohort 1 and 2.5 and 1.5 from patient's and therapist's perspective, respectively, in cohort 2. CONCLUSION: The Trunk Impairment Scale was successfully translated into Italian and proved to be reliable, valid, and responsive. Its use is recommended for clinical and research purposes. Implications for Rehabilitation Trunk control is an essential part of balance and postural control, constituting an important prerequisite for daily activities and function. The TIS administered in subjects with subacute and chronic stroke was reliable, valid and responsive. The TIS is expected to help clinicians and researchers by identifying key functional processes related to disability in people with subacute and chronic stroke.