Vojta therapy and routine physical therapy

Routine physical therapy

Vojta therapy will be implemented for reflex rolling and reflex creeping. A small pressure with dorsal, medial and cranial directional stimuli will be provided. After stimulation the reactions are extension of spine, flexion of hip joint, then knee joint and in the end at ankle joint. 5 sessions per week with a 60-minute session are part of protocol for routine physical therapy and vojta therapy for 8 weeks.

To measure posture control posture assessment scale for stroke will be used. It will determine posture after stroke in sitting, standing and lying position. It's a 4-point scale and ranges from 0-36. It consists of 12 items where items are scored from 0-3.It will measure balance in sitting, standing and lying. It will measure the ability of the individual to maintain balance with different positions. Inter ratter reliability for individual items is α=0.88. It has excellent predictive validity with α=0.86

Trunk performance will be assessed with Trunk control test. It consists of four items assessed on a three-point ordinal scale. Items include rolling to affected and non-affected side, sitting, and balance in the sitting position for 30 seconds. The total score is from 0 to 100, a higher score of 50 points indicates better performance. A 12-point score indicates abnormal pattern of movement while a 25 -point score means movement was normal. Internal validity is a= o.86 while r= 0.76 It is a validated test for posture control and motor

Motor evaluation scale for upper extremity will be used to measure motor activity of arm and hand. It has 8 tasks for arm with six categories of responses and hand has 6 tasks items with three categories. While functional tasks have three items with three categories. It has items of arm with total score of 40 and hand items with total score of 18. The maximum score for the scale is 58. The scale has good test-retest reliability. Reliability is 0.99 for MESUPES arm and 0.97 for MESUPES hand. Validity is 0.87

Pose estimation software will be used for posture information. It will use key points as joints from the body and their position in space and time. In pose estimation the position of each body joint is estimated. It is based on activity recognition. The recognition is done by segmenting the position of the key points of the joints of the individuals in the scene. The Smart phone cameras are used for picture and then the software recognizes the key points on the picture. The software will record precise posture information. The program uses user-selected images to determine angles between various body components