Changzhou Qian Jing Rehabilitation Co., LTD.

According to the performance of celebrities with dementia, and summarizing the traditional clinical screening programs of dementia such as MMSE, LOTCA, Hasegawa dementia scale, six screening dimensions including attention, memory, calculation ability, orientation ability, language ability, and comprehensive operation ability were systematically designed. Through the score of each factor in six dimensions, the user's brain function can be exercised in the game and automatic intelligent initial screening. According to the results of the six dimensions of intelligent screening, the system intelligent analysis and design the corresponding training program, insist on 20 minutes of exercise every day, can promote the activation of the nerve cells in the corresponding cortex of the brain, slow down the degeneration of brain function and lesions, can prevent the occurrence of dementia, slow down the development of the disease in the early crazy people.

Special dynamic monitoring and management center, used to store and call the user's cerium examination and training results, family members or trainers can see in the center to see which abilities have been improved, which need to be further strengthened.

A new object-oriented adaptive particle swarm optimization algorithm (OOAPSO algorithm) and an adaptive parameter adjustment strategy based on artificial fish swarm algorithm were used to train the system program. In the training module, each sub-module has its main training point, and also takes into account different dimension factors. For example, in the orientation space module, the training is mainly conducted on the orientation dimension factors, but the training items will also involve the score operation of attention, memory and other dimension factors. Therefore, the user's score information on the six dimensional factors will be updated for each training session, and the user's next training session will be intelligently analyzed, which dimension factor should be prioritized by the user to form an intelligent priority training program.

According to the training experience of the elderly pushing the bed, in order to let the elderly maintain long-term training interest and avoid fatigue caused by sitting in front of the computer for a long time, each training task is controlled within 20 minutes. Based on the feedback report, the system can learn the training volume of the user in 20 minutes, so as to formulate their training plan.