Analyzing the therapeutic effects of short wrist splint in patients with carpal tunnel syndrome (CTS) under ibuprofen treatment from an EMG-NCV perspective.

Objective: Carpal tunnel symptoms are typical outside nerve involvement and a significant reason of inability. This syndrome often causes weakness and pain in the affected hand. Therefore, the researchers decided to perform a study that aimed to investigate the therapeutic effects of Wrist Splint (short wrist splint) in patients admitted to the neurology clinic of Vali Asr Hospital of Birjand with carpal tunnel syndrome (CTS) under ibuprofen treatment from an EMG-NCV perspective. Methods: This clinical trial was performed on patients admitted to the neurology clinic of Vali Asr Hospital during the spring and summer of 2013. The participants of the study were classified into two teams. The initial team of cases went under medical treatment with ibuprofen (800 mg BID for 4-6 weeks) and the second group of patients went under medical care with ibuprofen (800 mg BID for 4-6 weeks) with a short wrist splint. Results: 40 cases participated in the research. The mean age of participants was 32/ 75 ± 4/ 33 years (range 20 to 48 years), respectively. Most of the participants were females (n = 30, 75% respectively). The mean score, latency and velocity between the two groups were mainly distinct (respectively p = 0.05, 0.001, and 0.003). There were significant differences between amplitude before the start of the study (p = 0.000) among the participants. Discussion: The results showed that patients treated with ibuprofen and wrist splint along the para-clinics presented a better response to treatment.

A NOVEL INTRINSIC UNSCENTED KALMAN FILTER FOR TRACTOGRAPHY FROM HARDI*

The unscented Kalman filter (UKF) was recently introduced in literature for simultaneous multi-tensor estimation and tractography. This UKF however was not intrinsic to the space of diffusion tensors. Lack of this key property leads to inaccuracies in the multi-tensor estimation as well as in tractography. In this paper, we propose an novel intrinsic unscented Kalman filter (IUKF) in the space of symmetric positive definite matrices, which can be used for simultaneous recursive estimation of multi-tensors and tractography from diffusion weighted MR data. In addition to being more accurate, IUKF retains all the advantages of UKF for instance, multi-tensor estimation is only performed in the places where it is needed for tractography, which would be much more efficient than the two stage process involved in methods that do tracking post diffusion tensor estimation. The accuracy and effectiveness of the proposed method is demonstrated via real data experiments.