No abstract available.
Biofeedback, Psychology*

No abstract available.
Biofeedback, Psychology* ; Rectal Neoplasms*

No abstract available in English.
Biofeedback, Psychology* ; Female ; Humans

No abstract available.
Biofeedback, Psychology* ; Electric Stimulation*

No abstract available.
Biofeedback, Psychology* ; Defecation* ; Humans

OBJECTIVE: To evaluate the effect of the biofeedback balance training using Interactive Balance System (IBS) in acute stroke patients. METHOD: We recruited 40 acute stroke patients who were able to stand independently. The patients were divided into two groups. One group received conventional balance training (control group) and the other group received biofeedback balance training using IBS (case group) for 2 weeks. After training, the effects were evaluated using 3 parameters: indices from IBS (stability score, weight distribution index, and distance form zero point to body's center of pressure (COP) in coordinate), balance assessments (Berg balance scale and postural assessment scale for stroke patients), and functional outcome (the Korean version of modified Barthel index). RESULTS: There were no differences in age and time since onset between the two groups. All parameters were significantly improved in both groups after training. However, the distribution of COP of the case group was significantly closer to the zero point than that of the control group in coordinate after training (p=0.005). CONCLUSION: Biofeedback balance training using IBS has a better effect on the symmetry in static condition on evaluation using IBS than conventional balance training for acute stroke patients.
Biofeedback, Psychology ; Humans ; Stroke

No abstract available.
Biofeedback, Psychology* ; Motor Neurons*

No abstract available.
Biofeedback, Psychology* ; Humans ; Meningomyelocele*

No abstract available.
Biofeedback, Psychology ; Constipation ; Fecal Incontinence

In order to develop a Patient respiratory management system includinga biofeedback function for4-dimentional radiation therapy, this study investigated anoptimal tracking algorithmfor moving target using IR (Infra-red) camera as well as commercial camera. A tracking system was developed by LabVIEW 2010. Motion phantom images were acquired using a camera (IR or commercial). After image process were conducted to convert acquired image to binary image by applying a threshold values, several edge enhance methods such as Sobel, Prewitt, Differentiation, Sigma, Gradient, Roberts, were applied. The targetpattern was defined in the images, and acquired image from a moving targetwas tracked by matching pre-defined tracking pattern. During the matching of imagee, thecoordinateof tracking point was recorded. In order to assess the performance of tracking algorithm, the value of score which represents theaccuracy of pattern matching was defined. To compare the algorithm objectively, we repeat experiments 3 times for 5 minuts for each algorithm. Average valueand standard deviations (SD) of score were automatically calculatedsaved as ASCII format. Score of threshold only was 706, and standard deviation was 84. The value of average and SD for other algorithms which combined edge detection method and thresholdwere 794, 64 in Sobel, 770, 101 in Differentiation, 754, 85 in Gradient, 763, 75 in Prewitt, 777, 93 in Roberts, and 822, 62 in Sigma, respectively. According to score analysis, the most efficient tracking algorithm is the Sigma method. Therefore, 4-dimentional radiation threapy is expected tobemore efficient if threshold and Sigma edge detection method are used together in target tracking.
Biofeedback, Psychology ; Humans ; Track and Field