Random forest-based classsification and analysis of hemiplegia gait using low-cost depth cameras.

Hemiplegia is a form of paralysis that typically has the symptom of dysbasia. In current clinical rehabilitations, to measure the level of hemiplegia gaits, clinicians often conduct subject evaluations through observations, which is unreliable and inaccurate. The Microsoft Kinect sensor (MS Kinect) is a widely used, low-cost depth sensor that can be used to detect human behaviors in real time. The purpose of this study is to investigate the usage of the Kinect data for the classification and analysis of hemiplegia gait. We first acquire the gait data by using a MS Kinect and extract a set of gait features including the stride length, gait speed, left/right moving distances, and up/down moving distances. With the gait data of 60 subjects including 20 hemiplegia patients and 40 healthy subjects, we employ a random forest-based classification approach to analyze the importances of different gait features for hemiplegia classification. Thanks to the over-fitting avoidance nature of the random forest approach, we do not need to have a careful control over the percentage of patients in the training data. In our experiments, our approach obtained the averaged classification accuracy of 90.65% among all the combinations of the gait features, which substantially outperformed state-of-the-art methods. The best classification accuracy of our approach is 95.45%, which is superior than all existing methods. Additionally, our approach also correctly reveals the importance of different gait features for hemiplegia classification. Our random forest-based approach outperforms support vector machine-based method and the Bayesian-based method, and can effectively extract gait features of subjects with hemiplegia for the classification and analysis of hemiplegia. Graphical Abstract Random Forest based Classsification and Analysis of Hemiplegia Gait using Low-cost Depth Cameras. Left: Motion capture with MS Kinect; Top-right: Random Forest Classsification based on the extracted gait features; Bottom-right: Sensitivity and specificity evaluation of the proposed classification approach.

A preliminary economic evaluation of percutaneous neuromuscular electrical stimulation in the treatment of hemiplegic shoulder pain.

OBJECTIVE: The objective of this study was to compare the cost-effectiveness of various treatment modalities for hemiplegic shoulder pain. DESIGN: A stage II economic evaluation. MAIN OUTCOME MEASURES: Incremental cost effectiveness ratio of P-NMES, compared to slings and anti-inflammatory injections. RESULTS: The incremental cost effectiveness ratio (ICER) of p-NMES, compared to anti-inflammatory injections is 6,061 euro(+/-3,285). The incremental cost of the first quality-adjusted life year after implantation of the P-NMES device compared to anti-inflammatory injections is 33,007 euro (+/-5,434). This decreases to approximately 7,000 euro after 5 years, and to approximately 5,000 euro after 10 survival years. CONCLUSION: In this early evaluation, P-NMES seems to be cost-effective according to known guidelines. Treatment with P-NMES is recommended for patients with chronic HSP.

Supporting young adults with hemiplegia: services and costs.

This paper lays out the service and cost consequences of supporting a nationally representative sample of young adults with hemiplegic cerebral palsy. The total costs burden and the additional costs that accrue to the public and independent sector due to their disabilities are calculated. Most of the young adults live at home. Many lead "ordinary" lives and attend further or higher education establishments or go to work. A small number of study members, however, make intensive use of expensive, often segregated facilities such as residential homes or schools and make considerable use of other support services. In total, this group of 81 people cost just over 1 million pounds to support during the year prior to interview, 43% of which was related to their impairments. When the sample is divided into two groups, people with a combination of associated conditions are found to have hemiplegia-associated costs almost 50 times greater than those with simple hemiplegia.