Abstract: The learning system includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: The learning apparatus includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: A medical data communication apparatus includes a data acquisition unit configured to acquire medical data of a subject output from a medical device from the medical device, the medical device being connected for communication with the medical data communication apparatus without an external network intervening therebetween; a modification unit configured to modify the medical data based on a modification instruction received from a server, the server being connected for communication with the medical data communication apparatus through an external network, the modification instruction being for modifying specific information in the medical data; and an output unit configured to output the medical data modified by the modification unit to the external network based on a request from the server.

Abstract: The communication control unit of the external communication apparatus requests a communication connection to the server. When a communication connection with the server is established, the communication control unit acquires the server side definition file from the server. The updating unit of the external communication apparatus updates the client side definition file with the server side definition file acquired by the communication control unit. The communication control unit of the external communication apparatus is configured to upload the medical apparatus side data to the server based on the client side definition file. Further, the communication control unit of the external communication apparatus is configured to reject a connection request from the server.

Abstract: The learning system includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: The learning apparatus includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: A medical data communication apparatus includes a data acquisition unit configured to acquire medical data of a subject output from a medical device from the medical device, the medical device being connected for communication with the medical data communication apparatus without an external network intervening therebetween; a modification unit configured to modify the medical data based on a modification instruction received from a server, the server being connected for communication with the medical data communication apparatus through an external network, the modification instruction being for modifying specific information in the medical data; and an output unit configured to output the medical data modified by the modification unit to the external network based on a request from the server.

Abstract: A rehabilitation support apparatus according to a first exemplary aspect is configured to perform rehabilitation support by executing a training program for urging a trainee 900 to perform a predetermined motion and assisting the trainee 900 to perform the motion. The rehabilitation support apparatus includes a sensor configured to detect motion data from the motion performed by the trainee 900 and a control unit configured to execute the training program and generate training data of the trainee from the motion data detected by the sensor. Further, the control unit performs a writing process of writing the training data into an external memory according to a state of the training program.

Abstract: The communication control unit of the external communication apparatus requests a communication connection to the server. When a communication connection with the server is established, the communication control unit acquires the server side definition file from the server. The updating unit of the external communication apparatus updates the client side definition file with the server side definition file acquired by the communication control unit. The communication control unit of the external communication apparatus is configured to upload the medical apparatus side data to the server based on the client side definition file. Further, the communication control unit of the external communication apparatus is configured to reject a connection request from the server.