Background: Suryanamaskar, a composite yogasana consisting of a sequence of 12-consecutive poses, producing a balance between flexion and extension is known to have positive health benefits for obesity and physical fitness management, upper limb muscle endurance, and body flexibility. However, limited information is available on biomechanical demands of Suryanamaskar, i.e., kinematic and kinetic. Aims: The present study aimed to explore the kinematics of spine, upper, and lower extremity during Suryanamaskar to enhance greater understanding of Suryanamaskar required for safe and precise prescription in the management of musculoskeletal disorders. Methods: Three-dimensional motion capture of Suryanamaskar was performed on 10 healthy trained yoga practitioners with 12-camera Vicon System (Oxford Metrics Group, UK) at a sampling frequency of 100 Hz using 39 retro-reflective markers. Data were processed using plug-in-gait model. Analog data were filtered at 10Hz. Joint angles of the spine, upper, and lower extremities during 12-subsequent poses were computed within Vicon Nexus. Results: Joint motion was largely symmetrical in all poses except pose 4 and 9. The spine moved through a range of 58° flexion to 44° extension. In the lower quadrant, hip moved from 134° flexion to 15° extension, knee flexed to a maximum of 140°, and 3° hyperextension. Ankle moved in a closed kinematic chain through 40° dorsiflexion to 10° plantarflexion. In the upper quadrant, maximum neck extension was76°, shoulder moved through the overhead extension of 183°–56° flexion, elbow through 22°–116° flexion, and wrist from 85° to 3° wrist extension. Conclusions: Alternating wide range of transition between flexion and extension during Suryanamaskar holds potential to increase the mobility of almost all body joints, with stretch on anterior and posterior soft tissues and challenge postural balance mechanisms through a varying base of support.

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Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.

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Dance as movement therapy is known to improve balance, cardiorespiratory endurance, body composition, mood, and quality of life among healthy adults. Literature informing the effect of dance therapy on functional-outcome based on the International Classification of Function (ICF) model is lacking for children with neuro-motor impairment. Thus, the current study aimed to review the effect of various traditional dance forms on functioning based on the ICF model in children with neuro-motor disorders. The findings will inform and guide therapists and clinicians on effective utilization of dance therapy as an adjunct therapeutic tool. A comprehensive electronic search was conducted between 2012 and 2022 through PubMed, CINAHL, Google Scholar, and Cochrane. A total of 17 articles were included: 3 review articles, 2 randomized control trials, 9 quasi-experimental studies, and 3 case reports. Articles reporting effects of dance in recreational settings, in age groups other than children and adolescents, in disabilities due to conditions other than neuro-motor origin, or children with severe intellectual disability were excluded. High-quality evidence demonstrated positive effects of dance therapy on body function domain in children with neuro-motor impairments. Review presented limited and low-to-moderate quality literature reporting effect of dance therapy on functions related to activity domain; whereas there is low quality inconclusive evidence on effect of dance therapy on participation of children with neuro-motor impairment. Thus, the review concludes that dance therapy is an effective adjunct tool to improve body function domain of children with neuro-motor disorders.