Apparatus and a method for automatic treatment adjustment after nervous system dysfunction

1. An apparatus for automatic adjustment of a treatment of a target person to be treated based on calculated recovery prediction data for predicting a change of a sensory function of said target person in response to said treatment, which comprises:

a stimulation device, the stimulation device generating a stimulation signal applied to a sensory organ of the target person;

at least one detection device, the at least one detection device measuring sensory data of the target person in response to the stimulation signal applied to the sensory organ of the target person;

a processing unit, the processing unit receiving the sensory data measured by the at least one detection device; and

a storage device, the storage device storing the sensory data of the target person and sensory data of a reference group of other persons already treated with the stimulation signal;

wherein the stimulation signal generated by the stimulation device includes treatment parameters;

wherein the processing unit calculates recovery prediction data, and automatically adjusts at least one of the treatment parameters of the stimulation signal generated by the stimulation device based on the calculated recovery prediction data, the recovery prediction data predicting a change of a sensory function of the target person in response to the treatment applied to the target person;

wherein the recovery prediction data calculated by the processing unit is based on sensory data of the target person measured by the at least one detection device stored in the storage device and is based on the sensory data of the reference group of other persons stored in the storage device;

wherein the processing unit uses a self-organizing map (SOM) algorithm in calculating the recovery prediction data to automatically adjust the at least one of the treatment parameters of the stimulation signal generated by the stimulation device and applied to the sensory organ of the target person;

wherein said sensory data comprises global feature data and local feature data;

wherein said local feature data comprises neighborhood data of a spot in a visual field chart of said target person; and

wherein the global feature data comprises conformity data of a visual field chart of said target person indicating a degree of similarity of the visual field to heminopia and quadrantanopia.

2. An apparatus for automatic adjustment of a treatment of a target person to be treated based on calculated recovery prediction data for predicting a change of a sensory function of said target person in response to said treatment, which comprises:

a stimulation device, the stimulation device generating a stimulation signal applied to a sensory organ of the target person;

at least one detection device, the at least one detection device measuring sensory data of the target person in response to the stimulation signal applied to the sensory organ of the target person;

a processing unit, the processing unit receiving the sensory data measured by the at least one detection device; and

a storage device, the storage device storing the sensory data of the target person and sensory data of a reference group of other persons already treated with the stimulation signal;

wherein the stimulation signal generated by the stimulation device includes treatment parameters;

wherein the processing unit calculates recovery prediction data, and automatically adjusts at least one of the treatment parameters of the stimulation signal generated by the stimulation device based on the calculated recovery prediction data, the recovery prediction data predicting a change of a sensory function of the target person in response to the treatment applied to the target person;

wherein the recovery prediction data calculated by the processing unit is based on sensory data of the target person measured by the at least one detection device stored in the storage device and is based on the sensory data of the reference group of other persons stored in the storage device;

wherein the processing unit uses a self-organizing map (SOM) algorithm in calculating the recovery prediction data to automatically adjust the at least one of the treatment parameters of the stimulation signal generated by the stimulation device and applied to the sensory organ of the target person;

wherein said sensory data comprises global feature data and local feature data;

wherein said local feature data comprises distance data indicating a distance of a spot in a visual field chart of said target person to a visual field defect border; and

wherein the global feature data comprises conformity data of a visual field chart of said target person indicating a degree of similarity of the visual field to heminopia and quadrantanopia.