JP6879178B2 - Report output device, training device, report output system, report output method, and program - Google Patents

Description

The present invention relates to a report output device, a training device, a report output system, a report output method, and a program.

Medical workers such as doctors and medical therapists provide patients with rehabilitation (rehabilitation) using training equipment as medical equipment. Motivating patients for training has a positive effect on the effectiveness of rehabilitation. One way to keep a patient motivated is to objectively inform the patient of his or her recovery.

Therefore, the medical staff creates a report for the medical staff from the patient's rehabilitation data (training data), and presents the report to the patient to explain the patient's rehabilitation status (training status). However, the report was prepared for healthcare professionals and is not easily understandable by patients who are unaware of the medical terms and numbers contained therein. In addition, the number of parameters (number of items) included in reports for medical employees is enormous.

Therefore, it is difficult for the patient to grasp the training status such as the degree of recovery from the report, and the medical staff takes a lot of time and effort to explain it. In addition, since it takes a lot of time to explain, it can be said that the patient cannot know his / her training situation in real time.

On the other hand, in Patent Document 1, the content based on the patient explanation information created from the report information for medical employees regarding the examination is displayed, and the characters, words, or sentences in the displayed content are instructed. Medical information systems that change to simpler (less specialized) letters, words, or sentences are disclosed.

Japanese Patent No. 4109084

However, in the medical information system described in Patent Document 1, the patient explanatory information generated as a result has an amount of information equal to or larger than the report information for medical employees having a huge number of items, and the patient. For me, the amount of information is large and I do not know which information is important. For example, even if the patient is presented with this patient explanation information, what item is the numerical value required to see the patient's own recovery level, and how much the numerical value should change to improve the condition? I don't know.

Therefore, it is difficult for a patient to understand at a glance the training status such as the degree of recovery from the patient explanation information generated by the medical information system described in Patent Document 1, and the information is larger than the report information for medical employees. If you have the amount of information, it becomes even more difficult to understand.

The present invention has been made to solve such a problem, and is a report output device capable of presenting information indicating a patient's training status so that the patient can easily understand his / her own training status. It provides training equipment, report output systems, report output methods, and programs.

The report output device according to the first aspect of the present invention is
A generator that generates the first report, which is a training report for medical staff, according to a plurality of predetermined evaluation items based on training data showing the results of training performed by the patient.
The output unit that outputs the first report and
An evaluation unit that evaluates the training data for each of the plurality of evaluation items,
With
Based on the evaluation results evaluated by the evaluation unit, the generation unit performs exclusion processing for excluding evaluation items or reduction processing for reducing the amount of information on the evaluation items for at least one evaluation item among the plurality of evaluation items. Execute and generate a second report, which is a training report for patients, with less number of evaluation items or less information on evaluation items than the first report.
The output unit outputs the second report.

In this way, the report output device generates a second report for the patient, which has less information than the first report for the doctor. Therefore, the patient can obtain information indicating the training status of the patient and the patient's own training status. It will be possible to present it in an easy-to-understand manner.

Further, in the report output device, the evaluation unit evaluates the training data by calculating the degree of deviation from a predetermined reference value for each of the plurality of evaluation items, and performs the exclusion process or the exclusion process. In the reduction processing, a first predetermined number of evaluation items having a low degree of deviation from the reference value among the plurality of evaluation items may be targeted for processing.
Further, in the report output device, the evaluation unit evaluates the training data by calculating the degree of deviation from the past values for each of the plurality of evaluation items, and performs the exclusion process or the reduction process. May target a second predetermined number of evaluation items having a low degree of deviation from the past values among the plurality of evaluation items.
Further, in the report output device, the evaluation unit evaluates the training data by calculating the degree of deviation from the past values for each of the plurality of evaluation items, and performs the exclusion process or the reduction process. Except for the third predetermined number of evaluation items, which had a high degree of deviation from the past values when the previous second report was generated, among the plurality of evaluation items, the second has a low degree of deviation from the past values. A predetermined number of evaluation items of 4 may be processed.
In either case, the output second report can make it easier for the patient to understand his or her training situation.

Further, in any of the above report output devices, each of the plurality of evaluation items is represented by an item name including a medical term, and the generation unit generates a conversion unit that converts the medical term into an illustration or a photographed image. The conversion unit may set the conversion rate to the illustration or captured image when generating the second report to be larger than the conversion rate when generating the first report. As a result, the output second report can make it easier for the patient to understand his / her training situation.

Further, in any of the above report output devices, the generation unit generates the first report and the second report in accordance with a request from the information processing device connected to the report output device via a network. The output unit may also output the first report and the second report to the information processing apparatus in response to the request.

The training device according to the second aspect of the present invention is a training device for a patient to perform training, and includes any of the above-mentioned report output devices, and collects the training data during the training of the patient.
As a result, the report output device can be integrated with the training device, and the report can be output on the spot during training.

The report output system according to the third aspect of the present invention includes a training device for training a patient and any of the above-mentioned report output devices, wherein the training device is used during the training of the patient. Collect data.
As a result, the report output device can be configured separately from the training device, resulting in a highly versatile system.

The report output method according to the fourth aspect of the present invention is
A generation step in which training data indicating the results of training performed by a patient is input, and based on the training data, a first report, which is a training report for medical professionals, is generated according to a plurality of predetermined evaluation items. When,
The output step that outputs the first report and
An evaluation step for evaluating the training data for each of the plurality of evaluation items, and
Have,
In the generation step, based on the evaluation result evaluated in the evaluation step, for at least one evaluation item among the plurality of evaluation items, an exclusion process for excluding the evaluation item or a reduction process for reducing the amount of information of the evaluation item is performed. It has a step of performing and generating a second report, which is a training report for patients, with fewer evaluation items or less information on the evaluation items than the first report.
The output step has a step of outputting the second report.

The program according to the fifth aspect of the present invention is
This is a program that allows a computer to execute report output processing.
The report output process is
A generation step that generates a first report, which is a training report for medical professionals, according to a plurality of predetermined evaluation items based on training data showing the results of training performed by the patient.
The output step that outputs the first report and
An evaluation step for evaluating the training data for each of the plurality of evaluation items, and
Have,
In the generation step, based on the evaluation result evaluated in the evaluation step, for at least one evaluation item among the plurality of evaluation items, an exclusion process for excluding the evaluation item or a reduction process for reducing the amount of information of the evaluation item is performed. It has a step of performing and generating a second report, which is a training report for patients, with fewer evaluation items or less information on the evaluation items than the first report.
The output step has a step of outputting the second report.

In this way, in the above report output method and the above program, the second report, which has less information than the first report for doctors, is generated for the patient, so that the patient can obtain information indicating the training status of the patient. It becomes possible to present the training situation in an easy-to-understand manner.

INDUSTRIAL APPLICABILITY According to the present invention, it is possible to provide a report output device or the like capable of presenting information indicating a patient's training status so that the patient can easily understand his / her own training status.

It is a schematic diagram which shows one configuration example of the report output device which concerns on Embodiment 1. FIG. FIG. 5 is a schematic perspective view showing a configuration example of a walking training device provided with a report output device according to the second embodiment. FIG. 3 is a schematic perspective view showing a configuration example of a walking assist device included in the walking training device of FIG. It is a block diagram which shows the system configuration example of the walking training apparatus which concerns on Embodiment 2. It is a flow diagram for demonstrating an example of the 1st report output processing executed in the walking training apparatus which concerns on Embodiment 2. FIG. It is a flow diagram for demonstrating an example of the 2nd report output processing executed in the walking training apparatus which concerns on Embodiment 2. FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the table included in the 1st report output by the process of FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the graph group included in the 1st report output by the process of FIG. It is a figure which shows an example of the 1st page of the 2nd report output by the process of FIG. It is a figure which shows an example of the 2nd page of the 2nd report output by the process of FIG. It is a figure for demonstrating the outline of the 2nd report output processing executed in the walking training apparatus which concerns on Embodiment 3. It is a figure for demonstrating the outline of the 2nd report output processing executed in the walking training apparatus which concerns on Embodiment 4. FIG. It is a figure which shows an example of the 2nd report output by the walking training apparatus which concerns on Embodiment 4. It is a flow diagram for demonstrating an example of the 2nd report output processing executed in the walking training apparatus which concerns on Embodiment 5. It is a figure which shows an example of the conversion table used in the process of FIG. It is an overall conceptual diagram of the walking training system which concerns on Embodiment 6.

Hereinafter, the present invention will be described through embodiments of the invention, but the invention according to the claims is not limited to the following embodiments. Moreover, not all of the configurations described in the embodiments are indispensable as means for solving the problem.

(Embodiment 1)
The report output device according to the first embodiment will be described with reference to FIG. FIG. 1 is a schematic diagram showing a configuration example of a report output device according to the first embodiment. The report output device shown in FIG. 1 includes a data collection unit 1, a database (DB) 2, a report generation unit 3 for doctors, an evaluation unit 4, and a report generation unit 5 for patients, and also includes an output unit (not shown). This report output device can be configured to include an MPU (Micro-processing unit). In this case, the data collection unit 1, the report generation unit 3 for doctors, the evaluation unit 4, and the report generation unit 5 for patients can be realized by an application program executed by the MPU.

The data collection unit 1 is included in the training device or is connected to the training device, and collects training data (training log data) indicating the result of the training performed by the patient P using the training device. This training device can be a rehabilitation device for performing rehabilitation, or can be a functional training device for performing functional training for the purpose of preventing attenuation. Examples of the training device include a walking training device described later in the second embodiment and a training device for expanding the range of motion of the hand.

DB2 is a database stored in a storage unit (not shown). The data collection unit 1 registers the collected training data in the database so that the information can be easily referred to for each patient and each evaluation item. The evaluation items are items (parameters) for evaluating the training, although specific examples will be described later, and will differ depending on the content of the training. In the following, although it will be described as having DB2, it is not essential to create a database of such training data.

The report generation unit 3 for doctors inputs the training data registered in DB2, and generates the first report Rd according to a plurality of predetermined evaluation items based on the training data. Here, the first report Rd refers to a training report (explanatory material for medical employees) for medical employees. Hereinafter, not limited to this embodiment, a doctor will be described as an example of a medical employee. The output unit outputs the generated first report Rd. Examples of the output destination in the output unit include a display unit (not shown), a printing device, an information processing device, and the like. The report generation unit 3 for doctors generates the first report Rd for each patient, but it is not necessary to generate all the patients at the same time. For example, the first report Rd may be generated only for the patients specified by the doctor D. ..

The evaluation unit 4 evaluates the training data stored in the DB 2 for each of the plurality of evaluation items. The evaluation unit 4 performs this evaluation for each patient, and may evaluate the patients for which the first report Rd and the second report Rp are to be generated.

Based on the evaluation results evaluated by the evaluation unit 4, the patient report generation unit 5 reduces the amount of information in the exclusion process for excluding the evaluation items or the information amount of the evaluation items for at least one of the above-mentioned plurality of evaluation items. The reduction process is executed and the second report Rp is generated.

The above exclusion process is a process for not using it for generating the second report Rp. For example, the second report Rp can be generated based on the generated first report Rd, and when such a generation method is adopted, the above exclusion process sets the target evaluation item from the first report Rd. It corresponds to the deletion process to be deleted. The second report Rp can be generated independently of the first report Rd by inputting training data, and when such a generation method is adopted, the above exclusion process sets the target evaluation item. It is a process of excluding so as not to be included in the second report Rp. The patient report generation unit 5 generates the second report Rp for each patient, but similarly to the first report Pd, for example, the second report Rp may be generated only for the patient designated by the doctor D.

Here, the second report Rp refers to a training report (explanatory material for patients) for patient P. The second report Rp is generated according to the remaining evaluation items after the exclusion process, or is generated from the remaining information after the reduction by the reduction process. Therefore, the second report Rp is a training report in which the number of evaluation items or the amount of information on the evaluation items is smaller than that of the first report Rd. In addition, the second report Rp can be a report in which the evaluation items with the highest evaluation are ordered. In addition, the output unit outputs the second report Rp. The output destination of the second report Rp is the same as that of the first report Rd. The contents described in the first report Rd and the second report Rp will be illustrated in the second embodiment and the like described later.

The report generation unit 3 for doctors and the report generation unit 5 for patients can be integrally configured as a generation unit for generating the first report Rd and the second report Rp. Further, the output unit may be composed of a report output unit for doctors that outputs the first report Rd and a report output unit for patients that outputs the second report Rp.

In the report output device according to the present embodiment, the number of evaluation items or the amount of information of the evaluation items is smaller than that of the first report Rd, not the patient training report in which the supplementary information for the patient is added to the first report Rd. Output Rp. Therefore, according to this report output device, information indicating the training status of the patient P can be presented so that the patient P can easily understand his / her own training status (with an amount of information that the patient P can understand). .. In addition, according to this report output device, even in the training report in which many parameters (evaluation items) for explaining the patient's symptoms are used, the report that meets the needs of both doctor D and patient P (No. 1). 1 report Rd, 2nd report Rp) can be provided.

Further, when the patient report generation unit 5 adopts the above exclusion process, the patient report generation unit 5 reduces the amount of information about the evaluation items that were not excluded by the above exclusion process. It is preferable to carry out the reduction process. The second report Rp generated by this makes it easier for the patient P to understand his / her training situation.

Further, the evaluation unit 4 can evaluate the training data by calculating the degree of deviation from a predetermined reference value (a reference value different for each evaluation item) for each of the plurality of evaluation items. The degree of deviation from the reference time for an evaluation item indicates the degree of abnormality for that evaluation item.

When such an evaluation is performed, the above-mentioned exclusion process or reduction process can target the first predetermined number of evaluation items having a low degree of divergence (deviation rate) among the plurality of evaluation items. .. As a result, the report output device can include the evaluation items indicating abnormal values in the second report Rp as they are and output them, and fix the number of evaluation items to be output by including them in the second report Rp as they are. be able to. The predetermined number may be set to a number that does not interfere with the understanding of patient P, and may be changed depending on, for example, the age, gender, etc. of patient P. In this example, when the second report Rp is a report in which the evaluation items with the highest evaluation are ordered, the one with the largest degree of divergence is ranked in the higher order.

In addition, when either this example or the two alternative examples described below is adopted, if the patient report generation unit 5 adopts the exclusion process, the patient report generation unit 5 is described above. It is preferable to perform reduction processing that reduces the amount of information for evaluation items that were not excluded in the exclusion processing.

In this way, in the above exclusion process or reduction process, the evaluation item that does not show an abnormal value, that is, the evaluation item that has a low priority (not severe) for the patient is targeted for processing, so that the patient P becomes more self-sufficient. It is possible to output the second report Rp, which makes it easy to understand the training situation of.

As an alternative example when such an evaluation is performed, in the above exclusion processing or reduction processing, an evaluation item having a degree of deviation lower than a predetermined value among the plurality of evaluation items can be processed. As a result, the report output device does not limit the number of evaluation items to be included in the second report Rp as they are and outputs them, and the evaluation items judged to have a large degree of divergence are included in the second report Rp as they are and output. Can be done. The predetermined value may be set to a value such that it is assumed that a number of evaluation items that do not interfere with the understanding of patient P are not subject to the above exclusion treatment or reduction treatment. For example, of patient P. It may be changed according to age, gender, etc.

Further, as an alternative example of the evaluation method in the evaluation unit 4, the following can be mentioned. That is, the evaluation unit 4 can evaluate the training data by determining whether or not each of the plurality of evaluation items satisfies a predetermined reference value. When such an evaluation is performed, the above-mentioned exclusion processing or reduction processing can target the evaluation items satisfying the above-mentioned predetermined reference values among the above-mentioned plurality of evaluation items. As a result, the report output device can directly include the evaluation items that do not satisfy the reference value in the second report Rp and output them without limiting the number of evaluation items to be included in the second report Rp and output. For example, if there is an evaluation item related to the achievement rate as an evaluation item, only the evaluation item whose achievement rate does not satisfy the reference value (in this case, exceeds the upper limit value) can be left in the second report Rp.

(Embodiment 2)
The report output device according to the second embodiment will be described with reference to FIGS. 2 to 8B with reference to an example in which the report output device is provided in the walking training device. In the second embodiment, the points different from the first embodiment will be mainly described, but various examples described in the first embodiment can be applied.

FIG. 2 is a schematic perspective view showing a configuration example of a walking training device provided with a report output device according to the present embodiment. The walking training device 100 shown in FIG. 2 is a device for a trainer 900, who is a hemiplegic patient suffering from paralysis in one leg, to perform walking training in accordance with the guidance of a doctor who is a training instructor (training assistant). is there. The walking training device 100 mainly covers the control panel 133 attached to the frame 130 forming the entire skeleton, the treadmill 131 on which the trainee 900 walks, and the affected leg which is the leg on the paralyzed side of the trainee 900. A walking assist device 120 to be worn is provided.

The frame 130 is erected on a treadmill 131 installed on the floor. The treadmill 131 rotates the ring-shaped belt 132 by a motor (not shown). The treadmill 131 is a device that encourages the trainee 900 to walk. The trainee 900 who performs walking training rides on the belt 132 and attempts a walking motion in accordance with the movement of the belt 132.

The frame 130 supports a control panel 133 that houses an overall control unit 210 that controls motors and sensors, and a training monitor 138 that is a liquid crystal panel, for example, that presents the progress of training to the trainee 900. .. Further, the frame 130 supports the front tension portion 135 near the front of the upper part of the head of the trainee 900, the harness tension portion 112 near the upper part of the head, and the posterior tension portion 137 near the rear of the upper part of the head. The frame 130 also includes a handrail 130a for the trainee 900 to grab.

The camera 140 functions as an imaging unit for observing the whole body of the trainee 900. The camera 140 is installed in the vicinity of the training monitor 138 so as to face the trainer. The camera 140 includes a set of a lens and an image sensor so that the angle of view is such that the whole body of the trainee 900 can be captured. The image pickup device is, for example, an image sensor, and converts an optical image formed on the image plane into an image signal.

One end of the front wire 134 is connected to the winding mechanism of the front tension portion 135, and the other end is connected to the walking assist device 120. The winding mechanism of the front tension portion 135 winds and unwinds the front wire 134 according to the movement of the affected leg by turning on / off a motor (not shown). Similarly, one end of the rear wire 136 is connected to the winding mechanism of the rear tension portion 137, and the other end is connected to the walking assist device 120. The winding mechanism of the rear tension portion 137 winds and unwinds the rear wire 136 according to the movement of the affected leg by turning on / off a motor (not shown). By such a coordinated operation of the anterior tension portion 135 and the posterior tension portion 137, the load of the walking assist device 120 is offset so as not to be a burden on the affected leg, and further, the patient is affected according to the degree of setting. Assists the swinging motion of the legs.

For example, an operator who is a training assistant sets a large level of assistance for a trainee who has severe paralysis. When the assist level is set to a large value, the front tension portion 135 winds the front wire 134 with a relatively large force in accordance with the swing timing of the affected leg. As the training progresses and assistance is no longer needed, the operator sets the level of assistance to a minimum. When the assist level is set to the minimum, the front tension portion 135 winds up the front wire 134 with a force sufficient to cancel the own weight of the walking assist device 120 in accordance with the swing timing of the affected leg.

The walking training device 100 includes a fall prevention harness device as a safety device whose main components are a brace 110, a harness wire 111, and a harness tension portion 112. The brace 110 is a belt wrapped around the abdomen of the trainee 900 and is fixed to the lumbar region by, for example, a hook-and-loop fastener. The brace 110 includes a connecting hook 110a that connects one end of a harness wire 111 that is a hanger. The trainee 900 wears the brace 110 so that the connecting hook 110a is located on the back.

One end of the harness wire 111 is connected to the connecting hook 110a of the orthosis 110, and the other end is connected to the winding mechanism of the harness tension portion 112. The winding mechanism of the harness tension portion 112 winds and unwinds the harness wire 111 by turning on / off a motor (not shown). With such a configuration, when the trainee 900 is about to fall, the fall prevention harness device winds up the harness wire 111 according to the instruction of the overall control unit 210 that detects the movement, and the trainee 900 uses the equipment 110 to wind the harness wire 111. Supports the upper body and prevents the trainer 900 from falling.

The brace 110 includes a posture sensor 217 for detecting the posture of the trainee 900. The posture sensor 217 is, for example, a combination of a gyro sensor and an acceleration sensor, and outputs an inclination angle of the abdomen on which the brace 110 is attached in the direction of gravity.

The management monitor 139 is attached to the frame 130 and is a display input device mainly for the operator to monitor and operate. The management monitor 139 is, for example, a liquid crystal panel, and a touch panel is provided on the surface thereof. The management monitor 139 displays various menu items related to training settings, various parameter values at the time of training, training results, and the like.

Next, a configuration example of the walking assist device 120 will be described with reference to FIG. FIG. 3 is a schematic perspective view showing a configuration example of the walking assist device 120. The walking assist device 120 is attached to the affected leg of the trainee 900 and assists the trainer 900 in walking by reducing the load of extension and flexion at the knee joint of the affected leg. The walking assist device 120 mainly includes a control unit 121, a plurality of frames that support each part of the affected leg, and a load sensor 222 for detecting a load applied to the sole of the foot.

The control unit 121 includes an auxiliary control unit 220 that controls the walking assist device 120, and also includes a motor (not shown) that generates a driving force for assisting the extension movement and the flexion movement of the knee joint. The frame that supports each part of the affected leg includes an upper leg frame 122 and a lower leg frame 123 that is rotatably connected to the upper leg frame 122. Further, this frame includes a foot flat frame 124 rotatably connected to a lower leg frame 123, a front connecting frame 127 for connecting the front wire 134, and a rear connecting frame for connecting the rear wire 136. 128 and.

Upper leg frame 122 and the lower leg frame 123 rotate relatively to the hinge axis _{H a} surrounding shown. Motor control unit 121 is rotated in accordance with an instruction of the auxiliary controller 220, upper leg frame 122 and the lower leg frame 123 or helping to open relatively around the hinge axis H _a, or Kase closed so .. Angle sensor 223 housed in the control unit 121 is, for example, a rotary encoder, for detecting the angle formed by the upper leg frame 122 and the lower leg frame 123 around the hinge axis H _a. The lower leg frame 123 and the foot flat frame 124 rotate relative to each other around _{the hinge axis Hb shown in the figure.} The relative rotating angle range is pre-adjusted by the adjusting mechanism 126.

The front side connecting frame 127 is provided so as to extend the front side of the upper thigh in the left-right direction and connect to the upper thigh frame 122 at both ends. Further, the front connecting frame 127 is provided with a connecting hook 127a for connecting the front wires 134 near the center in the left-right direction. The rear connecting frame 128 is provided so as to connect to the lower leg frame 123 which extends the rear side of the lower leg in the left-right direction and extends vertically at both ends. Further, the rear connecting frame 128 is provided with a connecting hook 128a for connecting the rear wires 136 near the center in the left-right direction.

The upper leg frame 122 includes an upper leg belt 129. The upper thigh belt 129 is a belt integrally provided on the upper thigh frame, and is wrapped around the upper thigh of the affected leg to fix the upper thigh frame 122 to the upper thigh. This prevents the entire walking assist device 120 from shifting with respect to the legs of the trainee 900.

The load sensor 222 is a load sensor embedded in the foot flat frame 124. The load sensor 222 detects the magnitude and distribution of the vertical load received on the sole of the trainer 900. The load sensor 222 is, for example, a resistance change detection type load detection sheet in which electrodes are arranged in a matrix.

Next, a system configuration example of the walking training device 100 will be described with reference to FIG. FIG. 4 is a block diagram showing a system configuration example of the walking training device 100. The overall control unit 210 is, for example, an MPU, and executes control of the entire device by executing a control program read from the system memory. The treadmill drive unit 211 includes a motor for rotating the belt 132 and a drive circuit thereof. The overall control unit 210 executes rotation control of the belt 132 by sending a drive signal to the treadmill drive unit 211. The overall control unit 210 adjusts the rotation speed of the belt 132 according to, for example, the walking speed set by the operator.

The operation reception unit 212 receives input operations from the trainee 900 and the operator, and transmits an operation signal to the overall control unit 210. The trainee 900 and the operator operate the operation buttons provided on the device, the touch panel superimposed on the management monitor 139, the attached remote controller, and the like, which constitute the operation reception unit 212. By this operation, it is possible to give an instruction to turn on / off the power and start training, input a numerical value related to the setting, and select a menu item.

The display control unit 213 receives the display signal from the overall control unit 210, generates a display image, and displays it on the training monitor 138 or the management monitor 139. The display control unit 213 generates an image showing the progress of the training and a real-time image taken by the camera 140 according to the display signal.

The tension drive unit 214 includes a motor for pulling the front wire 134 and a drive circuit thereof, which constitutes the front tension portion 135, and a motor for pulling the rear wire 136, which constitutes the rear tension portion 137, and the motor thereof. Including the drive circuit. The overall control unit 210 controls the winding of the front wire 134 and the winding of the rear wire 136 by sending a drive signal to the tension drive unit 214, respectively. Further, not limited to the winding operation, the tensile force of each wire is controlled by controlling the driving torque of the motor. For example, the overall control unit 210 identifies the timing at which the affected leg switches from the stance state to the swing state from the detection result of the load sensor 222, and increases or decreases the tensile force of each wire in synchronization with the timing, thereby increasing or decreasing the tensile force of the affected leg. Assists the swinging motion of.

The harness drive unit 215 includes a motor for pulling the harness wire 111 and a drive circuit thereof, which constitute the harness tension unit 112. The overall control unit 210 controls the winding of the harness wire 111 and the tensile force of the harness wire 111 by sending a drive signal to the harness drive unit 215. For example, when the trainer 900 is predicted to fall, the overall control unit 210 winds a certain amount of the harness wire 111 to prevent the trainer from falling.

The image processing unit 216 is connected to the camera 140 and can receive an image signal from the camera 140. The image processing unit 216 receives an image signal from the camera 140 according to an instruction from the overall control unit 210, and performs image processing on the received image signal to generate image data. Further, the image processing unit 216 can also perform image processing on the image signal received from the camera 140 in accordance with the instruction from the overall control unit 210 to execute a specific image analysis. For example, the image processing unit 216 detects the position of the foot (standing position) of the affected leg in contact with the treadmill 131 by image analysis. Specifically, for example, the stance position is calculated by extracting an image region near the tip of the foot flat frame 124 and analyzing an identification marker drawn on the belt 132 that overlaps the tip.

As described above, the posture sensor 217 detects the inclination angle of the abdomen of the trainee 900 with respect to the gravity direction, and transmits the detection signal to the auxiliary control unit 220. The overall control unit 210 calculates the posture of the trainee 900, specifically, the inclination angle of the trunk, using the detection signal from the posture sensor 217. The overall control unit 210 and the attitude sensor 217 may be connected by wire or by short-range wireless communication.

As described above, the walking assist device 120 is attached to the affected leg of the trainee 900, but the walking training device 100 is an overall control unit for giving a command to the walking assist device 120 and receiving sensor information. A communication connection IF (interface) 219 connected to 210 is provided. The walking assist device 120 is also provided with a communication connection IF 229 that is connected to the communication connection IF 219 by wire or wirelessly. The communication connection IF229 is connected to the auxiliary control unit 220 of the walking assist device 120. The communication connection IFs 219 and 229 are communication interfaces such as a wireless LAN (Local Area Network) that conform to the communication standard.

The auxiliary control unit 220 is, for example, an MPU, and controls the walking assist device 120 by executing the control program given by the overall control unit 210. Further, the state of the walking assist device 120 is notified to the overall control unit 210 via the communication connection IFs 219 and 229. In addition, the walking assist device 120 is started / stopped in response to a command from the overall control unit 210.

The joint drive unit 221 includes a motor of the control unit 121 and a drive circuit thereof. Auxiliary controller 220, by sending a driving signal to the articulation drive 221, or Kase as the upper leg frame 122 and the lower leg frame 123 is opened relatively around the hinge axis H _a, or Kase closed so .. Such movements assist the knee extension and flexion movements and prevent knee breakage.

As described above, the load sensor 222 detects the magnitude and distribution of the vertical load received by the sole of the trainer 900 and transmits the detection signal to the auxiliary control unit 220. The auxiliary control unit 220 receives the detection signal and analyzes it to determine the state of the swing leg / stance and estimate the switching.

Angle sensor 223 detects the angle formed by the upper leg frame 122 and the lower leg frame 123 around the street hinge axis H _a described above, and transmits a detection signal to the auxiliary controller 220. The auxiliary control unit 220 receives the detection signal and calculates the opening angle of the knee joint.

Next, the main features of the present embodiment will be described with reference to FIGS. 5 and 6. 5 and 6 are flow charts for explaining an example of the first report output process and the second report output process executed in the walking training device 100, respectively.

The overall control unit 210 also plays a role as a function execution unit that executes various calculations and controls related to control. The overall control unit 210 can include an evaluation unit 210a, a report generation unit 210b for doctors, and a report generation unit 210c for patients. In addition, the walking training device 100 has a storage unit that stores DB 218 corresponding to DB 2 in FIG.

The evaluation unit 210a generates training data in a predetermined format from various sensor information acquired for the walking motion of the current trainer 900, and registers the training data in the DB 218. At the time of registration in DB218, the training data is registered so that the trainee 900 can be distinguished. Further, the evaluation unit 210a can also register various sensor information as training data in the DB 218 as it is.

First, the output of the first report (training report for doctors) will be described. The operation reception unit 212 can receive an instruction to generate a report for a doctor who specifies a patient name or a patient ID. The report generation unit 210b for doctors is a part corresponding to the report generation unit 3 for doctors in FIG.

The first report is output in the following procedure. First, the report generation unit 210b for doctors extracts a plurality of predetermined evaluation items of training data from the DB 218 according to the above instructions received by the operation reception unit 212 (step S1 in FIG. 5). Next, the report generation unit 210b for doctors generates a first report according to those evaluation items (step S2). In steps S1 and S2, for example, the first report can be updated by performing processing for each evaluation item, and the first report can be completed when all the processing of the plurality of evaluation items is completed. The format and generation method of the first report does not matter.

Next, the overall control unit 210 outputs the first report by controlling the display control unit 213 and displaying the first report on the management monitor 139 (step S3). As described above, the display control unit 213 and the management monitor 139 can function as an example of the output unit described in the first embodiment. A specific example of the output first report will be described later with reference to FIG. 7A and the like.

Next, the output of the second report (training report for patients) will be described. The operation reception unit 212 can receive an instruction to generate a report for a patient in which a patient name or a patient ID is specified. It is preferable that this instruction can be received at the same time as the instruction for generating the report for doctors.

The evaluation unit 210a includes the evaluation unit 4 of FIG. 1 and evaluates the training data registered (stored) in the DB 218 for each of a plurality of predetermined evaluation items. In this example, the evaluation unit 210a evaluates the training data by calculating the degree of deviation from a predetermined reference value (a reference value different for each evaluation item) for each of the plurality of evaluation items, and evaluates each evaluation item. The result shall be registered in DB218. The patient report generation unit 210c is a part corresponding to the patient report generation unit 5 in FIG.

The second report is output in the following procedure. First, the patient report generation unit 210c extracts the first evaluation item from the plurality of predetermined evaluation items of the training data from the DB 218 according to the above instruction received by the operation reception unit 212 (step of FIG. 6). S11). Next, the patient report generation unit 210c reads out the evaluation result for the training data of the first evaluation item. Then, the patient report generation unit 210c determines whether or not the evaluation item does not correspond to (whether it corresponds to) the first predetermined number of evaluation items having a low degree of deviation from the reference value, and thus for the patient. It is determined whether or not it is necessary as a training report for (step S12).

If YES in step S12, the patient report generation unit 210c temporarily stores the training data of the evaluation item as a necessary item (step S13). An example of the storage destination is an internal memory provided in the patient report generation unit 210c. Next, the patient report generation unit 210c determines whether or not the processing for all the evaluation items (the above-mentioned plurality of evaluation items) has been completed (step S14), and if NO, the next evaluation item in step S11. Perform processing. Further, even if NO in step S12, the process returns to step S11 and the next evaluation item is processed.

If YES in step S14, the patient report generation unit 210c generates a second report from the temporarily stored data (data after the exclusion process in step S12) (step S15). Here, the patient report generation unit 210c processes the temporary storage data, for example, graph drawing, illustration drawing (for example, icon drawing), table drawing, word change, color change that appeals to color vision, addition of ruby to characters, and the like. To generate a second report. However, the format and generation method of the second report do not matter. It is preferable that the second report allows the patient to grasp his / her own training situation at a glance, but it may be a supplementary material for the doctor's explanation to facilitate the explanation.

Next, the overall control unit 210 outputs the second report by controlling the display control unit 213 and displaying the second report on the training monitor 138 (step S16). In this way, the display control unit 213 and the training monitor 138 can function as an example of the output unit. A specific example of the output second report will be described later with reference to FIG. 8A and the like.

By outputting the second report to the training monitor 138 in this way, the patient can know his / her own training status in real time. However, other output methods such as printing with the printing apparatus described in the first embodiment can also provide the second report to the patient in near real time.

Next, an example of the first report generated by the walking training device 100 will be given. 7A-7F and 7H-7J are all diagrams showing an example of a graph group included in the first report output by the process of FIG. 5, and FIG. 7G is an example of a table included in the first report. It is a figure which shows. The first report does not have to include all of the graphs and tables shown in FIGS. 7A to 7G, and may describe training data of designated patients for a plurality of predetermined evaluation items. In the following, the method of calculating the training data, such as the method of detecting a specific symptom and the method of calculating the set value, does not matter.

The graph group shown in FIG. 7A describes the appearance transition (%) of the onset symptom (standing) over 8 weeks. In FIG. 7A, "A" is "excessive backward movement of the trunk", "B" is "excessive forward tilt of the trunk", "C" is "excessive movement of the affected side of the trunk", and "D" is "Pelvic retraction", "E" is "excessive lower limb forward tilt", "F" is "excessive knee flexion", "G" is "rapid knee extension", "H" is "constant knee joint" "Bending position". These eight items are symptoms detected during training, and all of them are evaluation items.

FIG. 7A includes a graph showing training data for each of these eight endpoints. In FIG. 7A and FIGS. 7B and 7C described later, the hatching with diagonal lines represents a graph showing the symptomatism most desired to be cured, and the other hatchings represent a graph showing the symptomatism occurring. In FIG. 7A, it is shown that "pelvic retraction" corresponded to the most desired symptom to be cured from the second week to the sixth week among the eight evaluation items.

The graph group shown in FIGS. 7B and 7C describes the appearance transition (%) of the onset symptom (swing leg) over 8 weeks. In FIG. 7B, "I" is "difficult to take off the toes", "J" is "difficult to hold the swing leg", "K" is "excessive swing", "L" is "backward tilt of the trunk", and "M". Is "excessive movement of the trunk to the healthy side", and "N" is "extension of the healthy side". In FIG. 7C, "O" is "above the pelvic fist", "P" is "excessive hip external rotation", "Q" is "spinning", and "R" is "medial whip". These 10 items are symptoms detected during training, and all of them are evaluation items. 7B and 7C include graphs showing training data for each of these 10 endpoints. In addition, the evaluation items of "excessive movement of the trunk to the healthy side", "pelvic fist", "turning around", "backward tilting of the trunk", and "stretching of the healthy side" also include compensatory exercises corresponding to each. It is the data including.

In FIGS. 7B and 7C, of the 10 evaluation items, "difficulty in toe takeoff" corresponds to the most desired symptom to be cured from the 0th week to the 3rd week, and "bumbling" corresponds to the 1st to 4th week. It shows that it corresponded to the most desired symptom to be cured from the 5th week to the 7th week. In FIGS. 7A to 7C, the graphs are described using the alphabets "A" to "R" due to space limitations, but in the actual first report, the above-mentioned evaluation items corresponding to each are described. The name is described.

The graph group shown in FIG. 7D describes the frequent symptoms (three most desired symptoms in FIGS. 7A to 7C) and the transition of the set value over 8 weeks. This group of graphs includes graphs showing training data for each of the following 14 endpoints. That is, "weight unloading amount (%)", "knee extension assist (level)", "swinging assist (level)", "walking rate (step / minute)", "overlapping walking distance (cm)", "average" Speed (km / h), "maximum distance (m)", "maximum time (seconds)", "height (cm)", "extraction value (%)", "dorsiflexion limit (°)", " Plantar flexion limit (°) ”,“ knee flexion / extension time (seconds) ”, and“ knee flexion angle (°) ”. Since these training data are the data of the set values at the time of training, they are evaluation items. In FIG. 7D, the hatching in the background of the graph shows which of the three most desired symptoms is the cause of the change in the set value.

The graph group shown in FIG. 7E describes the frequent symptoms for 8 weeks (three most desired symptoms in FIGS. 7A to 7C) and the number of setting changes. In FIG. 7E, "a" is "average speed", "b" is "swing assist (level)", "c" is "knee extension assist (level)", and "d" is "swing before / after ratio", "e". Is "extraction value", "f" is "knee flexion angle", "g" is "height", and "h" is "knee flexion / extension time". In addition, "i" is "handrail height", "j" is "load value", "k" is "handrail width", "l" is "dorsiflexion limit", and "m" is "harness". “N” is “hip joint”, “o” is “weight unloading amount”, and “p” is “plantar flexion limit”. These items are items whose settings have been changed due to any of the three most desired symptoms during training, and all of them are evaluation items. Further, in FIG. 7E, each evaluation item is arranged in descending order of the number of setting changes. Further, FIG. 7E also shows whether each evaluation item is an item described in the practice guide of the walking training device 100 or an item not described. In FIG. 7E, the graphs are described using the alphabets "a" to "p" due to space limitations, but in the actual first report, the names of the above-mentioned evaluation items corresponding to each are described. Has been done.

The graph group shown in FIG. 7F describes the transition of the level of walking ability at the time of occurrence of frequent symptoms (three most desired symptoms in FIGS. 7A to 7C) over 9 weeks. This graph group is the training data of each of the five evaluation items of "robot", "long leg", "short leg", "maximum minimum value", and "center 50% (value of 50% of the center part)". Includes a graph showing. The "robot" refers to a walking training device 100 including a walking assist device 120. In FIG. 7F, the walking ability level of the walking training device 100 (the level indicating how much the patient's walking is assisted) is graphed, and the walking ability of the patient's long and short legs obtained corresponding to the level is graphed. The levels are also graphed. However, the week (pre) of the preparation stage shows the data when the walking training device 100 is not used. Since these training data are data on the walking ability level at the time of training, they are evaluation items. In addition, items such as "maximum / minimum value" and "center 50%", in which training data can be calculated from training data of other evaluation items, can also be evaluated items. In FIG. 7F, which of the three most desired symptoms is the cause is shown by hatching in the background of the graph.

The table shown in FIG. 7G describes the transition of the patient's physical function over 9 weeks, and the patient's Br. The evaluation level of each item of the stage and SIAS (Stroke Impairment Assessment Set) in the stage is described. Each item shown in FIG. 7G is also an evaluation item because the stage and the evaluation degree can be calculated from the training data.

The graph group shown in FIG. 7H describes the selectivity (%) of the onset symptom (standing) and the selectivity (%) of the onset symptom (swing). Here, too, it is assumed that the total is calculated in 9 weeks. In FIG. 7H, the graphs are described using the alphabets “A” to “R” as in FIGS. 7A to 7C, but in the actual first report, the names of the above-mentioned evaluation items corresponding to each are described. Is described. Here, the selection refers to the selection of items made by the doctor for training the patient, and the walking training device 100 will set various parameters according to this selection. Therefore, these items shown in FIG. 7H are also evaluation items.

The graph group shown in FIG. 7I describes the FB value and the achievement rate (%) for the load sound feedback (FB) and the knee angle FB. Here, too, it is assumed that the total is calculated in 9 weeks. In the graph of the load sound FB shown in FIG. 7I, the load sound FB is generated from the third week to the seventh week. In the graph of the load sound FB, the case where the toe FB is generated is also shown by the hatching in the background, but here, an example in which the toe FB is not generated is given. Since the walking training device 100 is controlled using various FB values including these, it can be said that the FB value is also a kind of training data. Therefore, these items shown in FIG. 7I are also evaluation items.

The graph group shown in FIG. 7J describes the comparison result with walking on level ground. Here, too, it is assumed that the total is calculated in 9 weeks. In FIG. 7J, training data for the robot (walking training device 100), long lower limbs, and short lower limbs are obtained for three items of walking rate (%), overlapping walking distance (cm), and walking speed (km / h). It is graphed. The training data of these robots can be calculated in consideration of, for example, the assist level by the robot. The training data for the long and short leg, which is the training data for walking on level ground, can be calculated as measurement data when the robot does not assist. These items shown in FIG. 7J are also evaluation items.

Next, an example of the second report generated by the walking training device 100 will be given. FIG. 8A is a diagram showing an example of the first page of the second report output by the process of FIG. 6, and FIG. 8B is a diagram showing an example of the second page. Here, an example is given in which the second report is a report with a total of two pages, but the number of pages is not limited to this.

The graph group included in FIG. 8A shows the walking ability (level) at the time of frequent symptom occurrence shown in FIG. 7F, and the total walking distance (m), speed (km / h), stride (cm), and walking shown in FIG. 7D. Training data is described for the evaluation items of pitch (step / minute), knee assist (level), and swing assist (level). In FIG. 8A, training data over 8 or 9 weeks is graphed. The graph group shown in FIG. 8A is roughly generated for some evaluation items of the graph group of FIGS. 7D and 7F, and the number of evaluation items in the second report is smaller than that in the first report. You can see that there is. Further, as can be seen from the comparison between FIG. 8A and FIGS. 7D and 7F, it is preferable that the name of the evaluation item in the second report is different from the name of the evaluation item in the first report so that the patient can easily understand it.

The graph group included in FIG. 8B is an extraction of graphs for three evaluation items from the graph groups shown in FIGS. 7A to 7C, which have a high incidence rate this week (referred to as the 7th week). Therefore, also in FIG. 8B, the number of evaluation items in the second report is smaller than that in the first report. As evaluation items that are not included in the second report, those that are difficult for the patient to understand such as flexion angle and flexion / extension speed are desirable, and those that are easy for the patient to understand such as walking speed and assist level should be included in the second report.

As described above, according to the present embodiment, since the report output device according to the first embodiment is applied to the walking training device, the information indicating the walking training status of the patient can be easily understood by the patient. Can be presented (with an amount of information that the patient can understand). Further, in the present embodiment, since the report output device is integrated with the training device, the report can be output on the spot during the training. In addition, when generating the second report, the patient report generation unit 210c may have an algorithm for generating (that is, recalculating) training data for new evaluation items using training data for a plurality of evaluation items. it can. By adopting such a configuration, the effect of training can be presented more clearly, and the patient can confirm the effect at a glance.

(Embodiment 3)
The report output device according to the third embodiment will be described with reference to FIG. 9 with reference to an example in which the report output device is provided in the walking training device 100 in the same manner as in the second embodiment. In the third embodiment, the points different from the second embodiment will be mainly described, but various examples described in the first and second embodiments can be applied. FIG. 9 is a diagram for explaining the outline of the second report output process executed in the walking training device 100 according to the third embodiment.

The progress of training such as walking training is important, and patients can be motivated if they can grasp the progress. In other words, the evaluation items with a high degree of deviation from the past values, that is, the evaluation items with large changes over time, are the evaluation items with high importance for increasing the motivation of the patient. In particular, it can be said that the evaluation items related to the achievement rate and the evaluation items related to the onset symptom are highly valuable to be viewed in chronological order in order to understand the results of training such as rehabilitation training. For example, among the evaluation items whose achievement rate has greatly increased compared to the past values and the evaluation items related to the onset symptoms, the evaluation items with a large degree of recovery (change in the positive direction) should be highly evaluated and included in the second report. desirable. On the other hand, it is still better to inform the patients of the evaluation items whose achievement rate has dropped significantly and the evaluation items with a large degree of deterioration (change in the worse direction), so it should be included in the second report. desirable.

Therefore, the evaluation unit 210a in the present embodiment evaluates the training data by calculating the degree of deviation from the past values for each of the plurality of predetermined evaluation items. Here, the past value is preferably the value when the second report was output last time, but is not limited to this.

Then, the patient report generation unit 210c in the present embodiment processes a second predetermined number of evaluation items having a low degree of deviation from the past values among the plurality of evaluation items in the exclusion process or reduction process. set to target.

That is, the patient report generation unit 210c is in line with the evaluation items of a predetermined number (the number obtained by subtracting the second predetermined number from the number of items of the plurality of evaluation items) having a high degree of deviation from the past value. 2 Generate a report. In the example shown in FIG. 9, the evaluation items of the 1st to 3rd place having a large deviation from the past value (for example, the value of last week) are included in the 2nd report, and the evaluation items of the 4th place and after are excluded from the 2nd report. Further, in this case, it is preferable that the second report is a report in order from the evaluation item having the highest evaluation.

According to this embodiment, the evaluation items with high importance can be included in the second report as they are, and the evaluation items with low importance in chronological order are excluded from the first report viewed by doctors. Alternatively, since the amount of information can be reduced, the patient can easily understand the progress of his / her training.

Further, the same concept as the first alternative example described in the first embodiment can be applied to the present embodiment. Briefly, the above-mentioned exclusion process or reduction process can target an evaluation item whose degree of deviation from the past value is lower than a predetermined value among the plurality of evaluation items. As a result, the patient report generation unit 210c does not limit the number of evaluation items to be output as they are in the second report, and the evaluation items judged to have a large degree of deviation from the past values are used as they are in the second report. Can be included in and output. The predetermined value here is usually different from the predetermined value in the alternative example in the first embodiment, but may be changed depending on the age of the patient or the like as in the first embodiment.

(Embodiment 4)
The report output device according to the fourth embodiment will be described with reference to FIGS. 10 to 11 with reference to an example in which the report output device is provided in the walking training device 100 in the same manner as in the second embodiment. In the fourth embodiment, the points different from the third embodiment will be mainly described, but various examples described in the first to third embodiments can be applied. FIG. 10 is a diagram for explaining the outline of the second report output process executed by the walking training device 100 according to the present embodiment, and FIG. 11 shows an example of the second report output by the walking training device 100. It is a figure.

The second report generated by the patient report generation unit 210c in the third embodiment does not include past values. Therefore, for example, even an evaluation item ranked high in the previous second report may not be included in the current second report. For example, as illustrated in FIG. 10, if the evaluation item "rapid knee extension" that was ranked first last time (last week) was ranked fourth when this report was generated, the patient was trained for "rapid knee extension". I can't tell how the data has changed this time. Patients may also forget what they have done so far. As described above, in the third embodiment, it is assumed that the training data of the evaluation items ranked high in the previous second report is important data in the metaphorical time series (in terms of the data of the same evaluation items). However, it may be buried without notifying the patient. Here, the important data includes, for example, data indicating that the symptomatology that has occurred has improved or disappeared a little. On the other hand, if the previous content is included in the second report as it is, the amount of information will be doubled, which may hinder the patient's understanding.

Therefore, in the present embodiment, the above exclusion process or reduction process in the patient report generation unit 210c has a high degree of deviation from the past value at the time of the previous second report generation among the plurality of predetermined evaluation items. Except for the third predetermined number of evaluation items, the fourth predetermined number of evaluation items having a low degree of deviation from the past values are subject to processing. The fourth predetermined number is synonymous with the second predetermined number in the third embodiment, but is defined separately from the second predetermined number for convenience. Further, the evaluation unit 210a in the present embodiment evaluates the training data by calculating the degree of deviation from the past values for each evaluation item as in the third embodiment. Further, in the present embodiment, the patient report generation unit 210c has a storage unit for storing the previously generated second report, or is configured to have access to the storage unit.

Explaining with the example of FIG. 10, when the evaluation item "rapid knee joint extension" which was the first place last week is ranked as the fourth place, not only the evaluation items of the first to third places are included in the second report, but also the implementation. In Form 3, this evaluation item “rapid knee joint extension”, which is not included in the 1st to 3rd positions and is not reported, is also included. For example, as in the example of the second report shown in FIG. 11, in addition to the training data of the evaluation items of the 1st to 3rd places of this week, the evaluation item “rapid knee joint extension” is included as the information of last week. In addition, information indicating how much this evaluation item was this week can be included in the second report.

According to this embodiment, not only the evaluation items that are highly important in terms of changes from the past can be included in the second report as they are, but also the evaluation items that are highly important in terms of the large changes in the previous time can be included as they are. 2 Can be included in the report, making it easier for patients to understand the progress of their training.

(Embodiment 5)
The report output device according to the fifth embodiment will be described with reference to FIGS. 12 and 13 with reference to an example in which the report output device is provided in the walking training device 100 in the same manner as in the second embodiment. In the fifth embodiment, the points different from the second embodiment will be mainly described, but various examples described in the first to fourth embodiments can be applied. FIG. 12 is a flow chart for explaining an example of the second report output process executed in the walking training device 100 according to the present embodiment, and FIG. 13 shows an example of the conversion table used in the process of FIG. It is a figure.

In the present embodiment, each of the plurality of predetermined evaluation items shall be represented by an item name including medical terms. The report generation unit 210b for doctors and the report generation unit 210c for patients both have a conversion unit that converts medical terms into an illustration or a photographed image (photograph). This conversion unit makes the conversion rate to the illustration or the photographed image when generating the second report larger than the conversion rate when generating the first report.

Such a second report output process can be performed by a process example as shown in FIG. Steps S21 to 23 and S26 to S28 in FIG. 12 are the same as steps S11 to S16 in FIG. After step S13 of FIG. 6 (step S23 of FIG. 12), the patient report generation unit 210c determines whether or not the illustration conversion is necessary for the evaluation item name (and the training data itself) stored in step S23. Determine (step S24). This determination can be made by referring to a conversion list as illustrated in the conversion table 210d of FIG. 13 stored in the patient report generation unit 210c and checking whether or not a word or the like included in the conversion list exists. .. After step S24, the patient report generation unit 210c executes conversion, saves the evaluation item name and training data (step S25), and proceeds to step S26.

Further, the first report output process is basically the same, but is different from the second report output process in that the determination in step S22 is not required and the conversion list to be used is different. The conversion list for doctors has fewer medical terms registered than the conversion list for patients. In this way, by having a conversion list for doctors and a conversion list for patients with a higher conversion rate, it is possible to output a second report that is easier for the patient to understand.

(Embodiment 6)
In the second to fifth embodiments, an example in which the report output device is mainly provided in the training device such as the walking training device 100 has been given, but as the sixth embodiment, an example in which the report output device is provided outside the training device, etc. An example of the acquisition route of training data and the output destination of the first and second reports will be explained. In the sixth embodiment, the points different from the second embodiment will be mainly described, but various examples described in the first to fifth embodiments can be applied.

A walking training system as an example of the report output system according to the present embodiment will be described with reference to FIG. FIG. 14 is an overall conceptual diagram of the walking training system. The report output system according to this embodiment can also be referred to as a training support system or a medical information system.

The walking training system shown in FIG. 14 includes a walking training device 100a as an example of a training device and a server 500 as an example of a report output device, and the walking training device 100a collects training data during training of a patient and finally. The training data is managed by the server 500. The walking training device 100a is a device that does not include the management monitor 139 in the walking training device 100 of FIG. However, the walking training device 100 can also be applied to this walking training system.

In addition to the walking training device 100a and the server 500, this walking training system includes an external communication device 300, a terminal (information processing device) 600 such as a personal computer (PC), and a wireless communication device 410. The external communication device 300 has a function of receiving and storing training data output by the walking training device 100a. The external communication device 300 is communicated and connected to the control panel 133 of the walking training device 100a by, for example, a USB cable, and is also connected to the Internet network 400 as an example of the external network via, for example, a wireless communication device 410 which is a wireless LAN unit. Has been done.

The server 500 is connected to the Internet network 400 and has a function of accumulating training data received from the external communication device 300. It also has a function of outputting first and second reports in response to a request from a terminal 600 such as a PC connected to the Internet network 400. For example, the server 500 has a storage unit that stores the DB 218 in FIG. 4, an evaluation unit 210a, a report generation unit 210b for doctors, and a report generation unit 210c for patients. The evaluation unit 210a, the report generation unit 210b for doctors, and the report generation unit 210c for patients can be mounted on the server 500 as a server program. In that case, the functions of each part can be fulfilled by causing a processor such as the MPU of the server 500 to execute the server program.

Therefore, the data viewer can view the first and second reports from the training data stored in the server 500 by operating the terminal 600, or a printing device connected to the terminal 600 (not shown). ) Can be printed. In this case, the report generation unit 210b for doctors and the report generation unit 210c for patients generate the first and second reports in accordance with the request from the terminal 600, and as a response to the request via the communication unit of the server 500. , The first and second reports may be output to the terminal 600.

The training data accumulated by the server 500 is not limited to the training data output from one walking training device 100a, and the training data output by a plurality of walking training devices may be comprehensively managed. Thereby, the training data of the result of training the same patient with a plurality of different walking training devices can be managed in an integrated manner, and the first and second reports can be output based on such training data. As described above, in the walking training system of FIG. 14, the report output device can be configured separately from the walking training device, and can correspond to a plurality of walking training devices, resulting in a highly versatile system.

In this walking training system, the walking training device 100a is connected to the Internet network 400 via the external communication device 300 as described above, and does not have a communication function for directly connecting to the Internet network 400. That is, the walking training device 100a does not directly output the training data to the external network. By interposing the external communication device 300 between the Internet network 400 and the walking training device 100 in this way, it is possible to prevent the training data from leaking from the walking training device 100a. The connection between the walking training device 100a and the external communication device 300 is not limited to the USB cable as long as it is a communication path that does not go through the external network, and various communication standards can be adopted.

Further, although it is premised that the security of the network is high, the walking training device 100a and the server 500 are connected via a network such as an intranet, and the training data is transmitted from the walking training device 100a to the server 500 via the network. You can also do it.

Further, in the walking training system, the external communication device 300 and the wireless communication device 410 are not provided, and for example, a portable recording medium such as a USB memory is attached to the walking training device 100a to store training data, and the portable recording medium thereof. Can be transported and the training data can be stored in the server 500. As described above, in the present embodiment, the first and second reports can be output in various system configurations.

(Other)
Further, as described in the above-described first to sixth embodiments, the report output process (report output method) for outputting the first and second reports causes a processor such as an MPU to execute a program that executes the process. It is also possible to realize by. This program can be stored and supplied to a computer using various types of non-transitory computer readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-temporary computer-readable media include magnetic recording media (eg, flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (eg, magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs. CD-R / W, semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (random access memory)) are included.

The program may be supplied to the computer by various types of transient computer readable media. Examples of temporary computer-readable media include electrical, optical, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.

In each of the above-described embodiments, the report output device is a training report for medical workers according to a plurality of predetermined evaluation items based on training data showing the results of training performed by the patient. It includes a generation unit that generates a report, an output unit that outputs a first report, and an evaluation unit that evaluates the training data for each of the plurality of evaluation items. Then, the generation unit reduces the amount of information in the exclusion process for excluding the evaluation items or the information amount of the evaluation items for at least one of the plurality of evaluation items based on the evaluation results evaluated by the evaluation unit. The process is executed to generate a second report, which is a training report for patients, in which the number of evaluation items or the amount of information on the evaluation items is smaller than that of the first report, and the output unit outputs the second report. In this way, the report output device generates a second report for the patient, which has less information than the first report for the doctor. Therefore, the patient can obtain information indicating the training status of the patient and the patient's own training status. It will be possible to present it in an easy-to-understand manner.

1 Data collection unit, 2,218 DB, 3, 210b Report generation unit for doctors, 4, 210a Evaluation unit, 5, 210c Report generation unit for patients, 100, 100a Walking training device, 110 equipment, 110a connecting hook, 111 harness Wire, 112 harness tension part, 120 walking assist device, 121 control unit, 122 upper leg frame, 123 lower leg frame, 124 foot flat frame, 126 adjustment mechanism, 127 front connecting frame, 128 rear connecting frame, 127a connecting hook, 129 Upper leg belt, 130 frame, 130a handrail, 131 treadmill, 132 belt, 133 control panel, 134 front wire, 135 front tension part, 136 rear wire, 137 rear tension part, 138 training monitor, 139 management Monitor, 140 camera, 210 overall control unit, 210d conversion table, 211 treadmill drive unit, 212 operation reception unit, 213 display control unit, 214 tension drive unit, 215 harness drive unit, 216 image processing unit, 217 attitude sensor, 219 , 229 communication connection IF, 220 auxiliary control unit, 221 joint drive unit, 222 load sensor, 223 angle sensor, 300 external communication device, 400 Internet network, 410 wireless communication equipment, 500 server, 600 terminal, 900 trainee

Claims (10)

A generator that generates the first report, which is a training report for medical staff, according to a plurality of predetermined evaluation items based on training data showing the results of training performed by the patient.
The output unit that outputs the first report and
An evaluation unit that evaluates the training data for each of the plurality of evaluation items,
With
Based on the evaluation results evaluated by the evaluation unit, the generation unit performs exclusion processing for excluding evaluation items or reduction processing for reducing the amount of information on the evaluation items for at least one evaluation item among the plurality of evaluation items. Execute and generate a second report, which is a training report for patients, with less number of evaluation items or less information on evaluation items than the first report.
The output unit outputs the second report,
Each of the plurality of evaluation items is represented by an item name including medical terms.
The generation unit has a conversion unit that converts the medical term into an illustration or a photographed image showing the medical term.
The conversion unit makes the conversion rate to the illustration or the photographed image when generating the second report larger than the conversion rate when generating the first report.
Report output device. The evaluation unit evaluates the training data by calculating the degree of deviation from a predetermined reference value for each of the plurality of evaluation items.
The exclusion process or the reduction process targets a first predetermined number of evaluation items having a low degree of deviation from the reference value among the plurality of evaluation items.
The report output device according to claim 1. The evaluation unit evaluates the training data by calculating the degree of deviation from the past values for each of the plurality of evaluation items.
The exclusion process or the reduction process targets a second predetermined number of evaluation items having a low degree of deviation from the past values among the plurality of evaluation items.
The report output device according to claim 1. The evaluation unit evaluates the training data by calculating the degree of deviation from the past values for each of the plurality of evaluation items.
The exclusion process or the reduction process is the past value excluding the third predetermined number of evaluation items having a high degree of deviation from the past value at the time of generating the previous second report among the plurality of evaluation items. The fourth predetermined number of evaluation items with a low degree of deviation from
The report output device according to claim 1. The medical term includes the name of the symptom.
The conversion unit converts the symptomatology name into an illustration or a photographed image showing the symptomatology name.
The report output device according to any one of claims 1 to 4. The generation unit generates the first report and the second report in accordance with a request from the information processing device connected to the report output device via the network.
The output unit outputs the first report and the second report to the information processing apparatus in response to the request.
The report output device according to any one of claims 1 to 5. A training device for patients to train
The report output device according to any one of claims 1 to 6 is provided.
Collecting the training data during the training of the patient,
Training equipment. Training equipment for patients to train,
The report output device according to any one of claims 1 to 6.
With
The training device collects the training data during the training of the patient.
Report output system. A generation step in which training data indicating the results of training performed by a patient is input, and based on the training data, a first report, which is a training report for medical professionals, is generated according to a plurality of predetermined evaluation items. When,
The output step that outputs the first report and
An evaluation step for evaluating the training data for each of the plurality of evaluation items, and
Have,
In the generation step, based on the evaluation result evaluated in the evaluation step, for at least one evaluation item among the plurality of evaluation items, an exclusion process for excluding the evaluation item or a reduction process for reducing the amount of information of the evaluation item is performed. It has a step of performing and generating a second report, which is a training report for patients, with fewer evaluation items or less information on the evaluation items than the first report.
The output step may have a step of outputting the second report,
Each of the plurality of evaluation items is represented by an item name including medical terms.
The generation step has a conversion step of converting the medical term into an illustration or a photographed image showing the medical term.
In the conversion step, the conversion rate to the illustration or the photographed image when generating the second report is made larger than the conversion rate when generating the first report.
Report output method. A program that allows a computer to execute report output processing.
The report output process is
A generation step that generates a first report, which is a training report for medical professionals, according to a plurality of predetermined evaluation items based on training data showing the results of training performed by the patient.
The output step that outputs the first report and
An evaluation step for evaluating the training data for each of the plurality of evaluation items, and
Have,
In the generation step, based on the evaluation result evaluated in the evaluation step, for at least one evaluation item among the plurality of evaluation items, an exclusion process for excluding the evaluation item or a reduction process for reducing the amount of information of the evaluation item is performed. It has a step of performing and generating a second report, which is a training report for patients, with fewer evaluation items or less information on the evaluation items than the first report.
The output step may have a step of outputting the second report,
Each of the plurality of evaluation items is represented by an item name including medical terms.
The generation step has a conversion step of converting the medical term into an illustration or a photographed image showing the medical term.
In the conversion step, the conversion rate to the illustration or the photographed image when generating the second report is made larger than the conversion rate when generating the first report.
program.

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