ABSTRACT
INTRODUCTION@#Brachial plexus injuries (BPI) have devastating functional effects. Clinical outcomes of BPI reconstruction have been documented in literature; however, these do not use EMG and quantitative kinematic studies.@*OBJECTIVE@#This study aims to use a markerless motion analysis tool (KINECT) and surface EMG to assess the functional outcomes of adult patients with traumatic upper trunk BPI who have undergone nerve transfers for the shoulder and elbow in comparison to the normal contralateral limb.@*METHODS@#This is an exploratory study which evaluated three participants with BPI after nerve reconstruction. KINECT was used to evaluate the kinematics (range of motion, velocity, and acceleration) and the surface EMG for muscle electrical signals (root mean square, peak EMG signal, and peak activation time) of the extremities. The means of each parameter were computed and compared using t-test or Mann-Whitney U test.@*RESULTS@#Participant C, with the best clinical recovery, showed mostly higher KINECT and EMG values for the BPI extremity. There was a significant difference between the KINECT data of Participants A and B, with lower mean values for the BPI extremity. Most of the EMG results showed lower signals for the BPI extremity, with statistical significance.@*CONCLUSION@#The KINECT and surface EMG provide simple, cost-effective, quick, and objective assessment tools. These can be used for monitoring and as basis for formulating individualized interventions. A specific algorithm should be developed for the KINECT sensors to address errors in data collection. A fine needle EMG may be more useful in evaluating the muscles involved in shoulder external rotation.
ABSTRACT
@#OBJECTIVE: This study aimed to quantitatively define outcomes of corrective surgery in children with various foot deformities. METHODS: We used a retrospective, nonrandomized design. All pediatric patients who underwent pre and post-operative gait analysis and corrective surgery were included. Outcome measures included quantitative gait analysis with temporospatial and kinematic parameters, the Gait Deviation Index, Gillette FAQ, and Hoffer’s criteria. RESULTS:. Five patients with neurogenic and idiopathic deformities underwent corrective surgery at the Philippine General Hospital from 2015 to 2017. Comparison of gait pre and postoperatively show promising outcomes, with improvement in GDI and FAQ levels, despite some of the patients’ need for braces. CONCLUSIONS: Quantitative gait analysis is a suitable method for evaluating surgical outcomes for foot deformity correction. It can be used in combination with functional outcome measures and clinical examination to give an overall picture of a patient’s walking ability.
Subject(s)
Gait Analysis , Clubfoot , Gait , Movement DisordersABSTRACT
@#<p style="text-align: justify;"><strong>OBJECTIVE:</strong> The potential of a low-cost, novel Kinect?-based markerless motion analysis system as a tool to measure temporospatial parameters, joint and muscle kinematics, and hand trajectory patterns during the propulsion and recovery phase of wheelchair propulsion (WCP) was determined.</p><p style="text-align: justify;"><strong>METHODS:</strong>Twenty (20) adult male track and field paralympians,(mean age = 36 ± 8.47) propelled themselves on a wheelchair ergometer system while their upper extremity motion was recorded by two Kinect? cameras and processed.</p><p style="text-align: justify;"><strong>RESULTS:</strong> The temporospatial parameters, joint kinematics, and hand trajectory patterns during the propulsion and recovery phase of each participant's WCP cycle were determined and averaged. Average cycle time was 1.45s ± 0.19, average cadence was 0.70 cycles/s ± 0.09, and average speed was 0.76m/s ± 0.32. Average shoulder flexion was 30.99° ± 28.38, average elbow flexion was 24.23° ± 12.25, and average wrist flexion was 12.82° ± 26.78. Eighty five percent (85%) of the participants used a semicircular hand trajectory pattern.</p><p style="text-align: justify;"><strong>CONCLUSION:</strong> The low-cost, novel Kinect?-based markerless motion analysis system had the potential to obtain measurable values during independent wheelchair propu