JP2006285425A - Health care service system using robot - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a health care service system using a robot, capable of preventing a user from neglecting or forgetting, in use of a biological data measuring device including a data measuring device to be voluntarily worn by the user for measurement, the measuring device or from inadequately wearing the measuring device, and determining cardiac disease, hypertension, diabetes, obesity or the like to prevent or find lifestyle-related diseases. <P>SOLUTION: The robot is provided with functions of making the user's life pattern into a database; urging measurement to the user by conversations with the user at time when the user wears a biological sensor to perform measurement; wirelessly receiving a signal from the biological sensor; determining abnormality of measured biological data; determining abnormality of the user by image data of the user taken by an imaging device and conversations with the data; and contacting, upon determination of abnormality, a health care service center and/or a medical institution from a network communication part provided on the robot through a network. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a healthcare service system using a robot, and in particular, is configured to be autonomously movable and has a substantially human shape, while managing user physical condition and heart disease, high blood pressure, diabetes, obesity, etc. while talking to the user The present invention relates to a healthcare service system using a robot that prevents lifestyle-related diseases, arranges medical institutions and ambulances in an emergency, and contacts remote family members.

  Industrial robots such as articulated arm robots and transfer robots have been known for a long time and are often used in factories and the like. However, these industrial robots are limited in their purpose of use such as welding, painting, transportation, etc., and are fixed in one place such as an arm robot or a route determined like a transport robot. Most of them moved in a predetermined order.

  However, in recent years, an autonomous mobile robot configured to move freely within a predetermined space has been announced. For example, it is installed in a home of an elderly person living alone, cleaning a room or managing the physical condition of a resident. In addition, a robot that supports daily life, such as checking indoor safety when a resident is away from home, has been announced. Such life-supporting robots are positioned as robots that can be applied to general households.

  Such a life-supporting autonomous mobile robot is a humanoid with a head, chest, torso, arms, etc., because of its friendliness to humans. Rotation of the head around the center of the head), as well as changing the facial expression and enabling simple conversation as shown in Patent Document 1 filed by the applicant of the present application, and on the arm It is desired to provide a plurality of joints and to perform the same operation as a person to some extent.

  In addition, heart disease, high blood pressure, diabetes, obesity and other lifestyle-related diseases, which are the major causes of mortality in Japan, are particularly apparent in middle-aged and elderly people, including those with potential illness ( It often develops suddenly without clear subjective symptoms until it includes a recurrence.

  In particular, the number of elderly people living alone has increased due to the recent declining birthrate and aging population, and in combination with the introduction of a long-term care insurance system and the spread of long-term care services including the dispatch of home helpers, there are increasing cases of home-visit nursing and home-visit treatment. However, if an emergency call is made after an abnormality occurs in the body while the patient is at home or going out, the prognosis is poor, and it is often impossible to live a life equivalent to that before the occurrence of the abnormality. Therefore, the emergency call system in this case is only a coping therapy measure.

  In addition, in the case of such lifestyle-related diseases, it is difficult to perform an accurate diagnosis only by a medical examination and examination only at the site in the hospital, and there is an increasing need for medical treatment as compared with the daily state of the individual patient. Specifically, potentially affected persons or patients with middle-aged and elderly people often have attribute data on their daily health status through medical examinations in advance. It is also possible to monitor the patient's individual biological data (especially electrocardiogram, blood pressure, mental stress, etc.) by constantly measuring from a sensor attached to the abdominal wall, etc. By collecting and accumulating for a certain period of time, it is possible to construct a biological database for each patient. Furthermore, it has been chronologically revealed that there is a time zone during which a disease is likely to occur in the onset of a disease such as heart disease or stroke. By analyzing daily biological data, it is possible to accurately predict the onset of disease from an anti-medical point of view.

  In order to deal with these problems, for example, Patent Document 2 discloses that the risk of developing a cardiovascular disease is predicted, the user is aware of the risk of developing the disease, and receives appropriate behavior and medical care. In order to provide a disease occurrence prediction and notification system that can promote and lead a healthy social life, the biometric data measured by the data measurement unit worn by the user is transmitted from the data communication unit to the healthcare service center, The service center analyzes the transmitted biological data, calculates score data, and the disease determined by comparing with the user's determination score data stored in the determination scoring table stored in advance in the biological database 5 A system and method for reporting a prediction level to a data measurement unit of a user are shown.

JP 2004-34274 A JP 2002-143007 A

  However, the robot shown in Patent Document 1 is made for the purpose of having a conversation with a human being and has nothing to do with healthcare. In the technique shown in Patent Document 2, a user can For example, it is incorporated into a hat, a bathtub, a toilet seat, etc., blood pressure related data is measured twice a day in the morning and evening, and is measured by a data measuring unit that is worn on the upper arm, etc. Although it is supposed to send to the healthcare information service center with a communication terminal, in the data measurement device that the user voluntarily wears and measures, the user may neglect or forget to wear the measurement device. There may be a situation in which measurement is not possible due to a lack of attachment or abandonment without knowing how to install the measurement device.

  However, lack of measurement means that data is not accumulated, and the original purpose of such a healthcare system cannot be achieved.

  Therefore, in the present invention, while using a biological data measuring device including a data measuring device that is voluntarily worn and measured by the user, the user neglects or forgets to wear the measuring device, or causes the mounting failure of the measuring device. The challenge is to provide a health care service system using a robot that can prevent and detect lifestyle-related diseases by determining heart disease, high blood pressure, diabetes, obesity and the like.

A health care service system using a robot according to the present invention to achieve the above-described problem is
A health care service system using a robot having a traveling wheel, grasping the surrounding situation by an imaging device and a sensor and moving autonomously, and having a voice recognition device and capable of talking with a user,
The robot has a function of creating a database of the user's life pattern, a function of prompting the user to perform measurement in conversation with the user when it is time for the user to wear a biometric sensor according to the user's life pattern database, A function for receiving a signal from a biometric sensor wirelessly, a function for determining whether or not the measured biometric data of the user is abnormal, and a user's abnormality is determined based on a conversation between the user's image data captured by the imaging device and the user And a function of contacting a health care service center and / or a medical institution via a network from a network communication unit provided in the robot when it is determined that there is an abnormality from the biometric data and the image data and conversation of the user And
It is characterized in that the user's life pattern is made into a database and the user is encouraged to ensure measurement and to find hidden diseases.

  In this way, using a self-supporting mobile robot, the user's abnormality is determined based on the function that prompts measurement when the time for the user to measure with the biological sensor, the function that determines whether the measured biological data is abnormal, the image data or the conversation By using a biometric data measurement device that includes a data measurement device that the user voluntarily wears and measures, the robot measures even if the measurement device is neglected or forgotten. If the measured biometric data is abnormal or if the user's abnormality is found from the conversation between the image data and the user, the health care service center and / or medical care is provided via the network. Healthcare using robots that can contact institutions and reliably prevent and detect user biometric data and lifestyle-related diseases It is possible to provide a service system.

  The robot has an image display device. When the user does not know the mounting method of the measuring device when measuring data by the user's biosensor, the user can wear the measuring device by guiding the mounting method with sound and video. It is also possible to prevent giving up the measurement because the method is unknown.

  In addition, the robot has a function of confirming the wearing state of the biosensor when the biosensor is worn by the user, so that it can be pointed out and worn normally even if the user has caused a deficiency in wearing, Accurate biometric data can always be obtained.

  Furthermore, since the robot has a unique symptom related to hypertension, diabetes, and obesity and a keyword related to each as a database, the robot can easily perform a user's abnormality determination from image data or conversation.

  As described above, according to the present invention, the user neglects or forgets to wear the measuring device while using the biological data measuring device including the data measuring device that the user voluntarily wears and measures. It is possible to provide a health care service system using a robot that can prevent and detect lifestyle-related diseases by determining heart disease, high blood pressure, diabetes, obesity, and the like.

  Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings. However, the dimensions, materials, shapes, relative arrangements, and the like of the components described in this embodiment are not intended to limit the scope of the present invention unless otherwise specified, but are merely illustrative examples. Not too much.

  FIG. 1 is a front view of an example of a robot used in a healthcare service system using a robot according to the present invention, FIG. 2 is a control block diagram of the robot shown in FIG. 1 and a block diagram of a healthcare service system, and FIG. Fig. 4 is a flowchart of a sudden heart disease death prevention service, Fig. 5 is a flowchart of a hypertension countermeasure support service, and Fig. 6 is a flowchart of a diabetes countermeasure support service. FIG. 7 is a flowchart of the obesity improvement support service. In the figure, the same components are given the same numbers.

  FIG. 1 is a front view of an example of a robot used in a health care service system using a robot according to the present invention, wherein 1 is a robot body used in the present invention, 2 is its head, 3 is a fisheye lens or an ultra-wide angle lens. A first imaging device that can capture images in all directions, 4 is a microphone for picking up human voice, 5 is equipped with an imaging device, and can capture a field of view of about 60 degrees in front of the robot, for example. Eyes equipped with a second imaging device, 6 is a chest, 7 is a human detection sensor provided on the chest 6, 8 is a speaker, 9 is an image display, 10 is an arm, 11 is an obstacle in front of the robot, Ultrasonic obstacle sensor for detecting a person, 12 is a torso, 13 is an infrared distance / obstacle sensor for detecting an obstacle or a person in front, 14 is provided in the torso 12 Left and right running Is a use wheel.

  This robot 1 is a substantially humanoid robot having a head 2, a chest 6, a torso (cart) 12, and left and right arms 10, and a neck joint between the head 2 and the chest 6 and a chest 6. The shoulder joint between the arm portion 10 and the arm portion 10, the elbow joint in the arm portion 10, the wrist joint and the like can be rotated by a driving mechanism (not shown), and the traveling wheel 14 can be steered and driven by a driving mechanism (not shown). It is configured to move autonomously in the work space by battery driving, recognizes its own position coordinates by the first imaging device 3 provided in the head 2, and is provided in the second eye 5. It is possible to recognize an object in front with the imaging apparatus 2 and to detect an obstacle or a person in front with the ultrasonic obstacle sensor 11 and the infrared distance / obstacle sensor 13.

  The health care service system using the robot 1 according to the present invention, as shown in FIG. 2, connects the robot 1 to the health care service center 16 and medical treatment for emergency treatment via the network 15 such as the Internet or an intranet. It is possible to connect to an institution 17, a fire station 18 for calling an ambulance, a family 19 in a remote place, etc., and send the data to the health care center 16 while checking the health status of the user. If necessary, it is possible to contact a fire station 18 for calling an ambulance, a family in a remote area, and the like.

  Therefore, the robot 1 includes a control CPU 20, a control program storage memory 22, a data memory 23, a service program storage memory 24, a travel motor 40 that drives the travel wheels 14, in the control device 20. Axis motors 41 and 42 for driving the respective shafts provided on the right arm and the left arm, a neck motor 43 for tilting the head back and forth, right and left, and performing a turning operation (rotation of the head around the neck axis), etc. Actuator drive circuit 25 for driving the motor, ultrasonic obstacle sensor 11 for detecting obstacles or people in front of the robot, infrared distance / obstacle sensor 13, first imaging device 3, second A control circuit 26 for controlling a sensor such as the imaging device (eye) 5, a display control circuit 27 for a status display LED 47, and an audio interface for the microphone 4 and the speaker 8. 28, a biosensor input circuit that receives data from a wireless receiver 48 that has received data sent wirelessly from a biosensor 49 such as an electrocardiograph or a blood pressure monitor. 30 and a network communication unit 31 for performing communication with the network 15.

  The robot 1 has a function of recognizing a user's voice by using various built-in sensors and having a conversation, as described in detail in, for example, the above-mentioned Patent Document 1. Have the functions of watching the behavior of the user, assisting the user's behavior with the arm 10, and acting with the user. That is, the driving motor 40 of the driving wheel 14 is driven by the actuator driving circuit 25, and the torso 12 is moved to the front of the user (robot owner, user, etc.) or the front of the body. If the head 2 and the eyes (second imaging device) 5 are directed to the user's eyes and the user's eyes can be used for conversation, the robot 1 stands in front of the user, Furthermore, since the conversation is carried out while looking at one's own eyes, a more friendly conversation can be established compared to the conventional case.

  In addition, the robot 1 used in the health care system according to the present invention takes in the time that the user should perform the measurement as a life pattern database in advance, and when that time comes, it goes to the user side and says “It is time to perform the measurement”. In addition, if the user does not know how to attach the sensor, he / she has a function to suggest a mounting method using the image display 9 or sound. is doing.

  Furthermore, for lifestyle-related diseases such as hypertension, diabetes, and obesity, daily conversations and actions of users are observed with images obtained from the imaging device 5. For example, high blood pressure is a symptom of mild hypertension, stiff shoulders, headaches, If you have a conversation or an action that you have a heavy head, dizziness, etc., if you are diabetic, you may feel tired, thirsty, heavy drinking (night drinking), polyuria (night drinking), strong hunger, heavy eating When there is a conversation or behavior such as weight gain, or when you are concerned about body shape or weight due to a conversation with a robot user for obesity, you should take appropriate treatment and attention. The user is advised to receive a diagnosis or a doctor's diagnosis.

  When biometric data is obtained, the data is periodically sent from the network communication unit 31 to the healthcare service center 16 via the network 15, and when there is a change in the condition of the user, the medical institution 17 is called an ambulance. It is possible to contact the fire department 18 and the family 19 in a remote area.

  By configuring the healthcare service system in this manner, the user neglects or forgets to wear the measuring device while using the biological data measuring device including the data measuring device that the user voluntarily wears and measures. It is possible to prevent or detect lifestyle-related diseases by determining heart disease, high blood pressure, diabetes, obesity and the like.

  Next, the health care service system of the present invention will be described with reference to the flowcharts of FIGS. First, FIG. 3 is a main flow of the health care service system of the present invention. When the process is started in step S1, any service by a user such as heart disease, hypertension, diabetes, obesity, etc., is executed in step S2. Choose what you want.

  In the next step S3, a program related to the selected healthcare service is downloaded via the network 15, and loaded into the service program storage memory 24 of the robot 1 in FIG. In step S4, the service program is activated. This service program is continued until a service end instruction is issued by the user. In step S5, it is determined whether or not there is a service end instruction by the user. If there is no end instruction, the determination is repeated and the determination is repeated. If there is, the process goes to step S6 to instruct the end of the service program, and the process ends in step S7.

  This program has different flows as shown in FIGS. 4 to 7 for each of heart disease, hypertension, diabetes, and obesity. First, the health care service for heart disease will be described with reference to FIG. In the following explanation, each flow will be explained individually, but these may be performed in parallel at the same time, of course, so that only necessary services can be selected or all services can be performed at all times. It is also possible to make it possible for the user to cope with any disease.

  Now, when processing is started in step S20, the CPU 21 calls a heart disease healthcare program from the service program storage memory 24, and initial setting is made in step S21. In step S22, the life pattern database constructed in advance is referred to, a time zone in which heart disease is likely to occur is selected, and a measurement time zone is set. When the measurement time zone is reached in step S23, the CPU 21 instructs the actuator drive circuit 25 to control the traveling motor 40, drives the traveling wheel 14 and moves to the user, and the CPU 21 uses the voice interface 28. The speaker 8 is controlled so as to wear an electrocardiograph and measure the electrocardiogram.

  In step S24, it is confirmed whether or not the user has accepted. If not, the process returns to step S22 again to refer to the life pattern database again to select another time zone in which heart disease is likely to occur and to measure time zone. Set. Similarly, when the measurement time zone is reached in step S23, the CPU 21 instructs the actuator drive circuit 25 to control the traveling motor 40, drives the traveling wheel 14 and moves to the user, and the CPU 21 performs voice. The interface 28 is controlled and the speaker 8 is used to put on an electrocardiograph and ask to measure the electrocardiogram. If the user approves in step S24, then in step S25, the CPU 21 controls the voice interface 28, and the speaker 8 prompts the user to wear the sensor (electrocardiograph). On the imaging screen of 5).

  In step S26, it is confirmed whether or not it is attached. If not, the CPU 21 controls the audio interface 28 and the video output control circuit 29, and the speaker 8 and the video output device 9 are used to attach a sensor (electrocardiograph). Is guided by audio and video. Then, if the wear is completed, the process proceeds to step S28, in which the electrocardiograph data is acquired on a trial basis to test whether the wear is correct.

  In step S29, it is confirmed whether or not the data has been acquired correctly. If the data acquisition has not been performed correctly, it is determined that the measurement device has not been correctly mounted, and the process proceeds to step S30, where the CPU 21 performs the audio interface 28 and the video output control circuit 29. Then, the speaker 8 and the video output device 9 guide the sensor (electrocardiograph) mounting method again by voice and video. Then, in step S29, it is confirmed whether or not it is correctly mounted, and this is repeated until it is correctly mounted.

  When it is properly attached, the CPU 21 proceeds to step S31, acquires data from the electrocardiograph (biological sensor 49) via the wireless receiver 48 and the biosensor input circuit 30, and the acquired data is stored in the data memory 23. The data is analyzed in comparison with the existing data, and it is determined whether there is a problem and determination processing for determining whether it is necessary to contact a medical institution is started.

  In step S32, it is determined whether or not it is necessary to notify the medical institution. If necessary, the process proceeds to step S35, where the notification level is determined, and whether or not the emergency level is determined in step S36. If the emergency is not required, the health care service center 16 is notified in step S39, and if the emergency level is accompanied by cardiac arrest, the medical institution 17 for emergency treatment, the fire station 18 for calling an ambulance, and the remote place in step S37. Contact a family member 19 etc. Then, the process goes to step S38 and data acquisition is continued until the end condition for ending the measurement time period is satisfied. If the end condition is satisfied, the process goes to step S34.

  On the other hand, if it is determined in step S32 that there is no need for notification, the process proceeds to step S34, and the measurement data is stored in the database in the healthcare service center 16 in step S34. And it returns to step S23 and repeats what was demonstrated above when it comes to the next measurement time slot | zone.

  The above is the heart disease prevention service flow. Next, referring to FIG. 5, the health care service flow for hypertension countermeasures will be described. In the following description, the main flow in FIG. 3 is not mentioned, but the processing in the main flow is the same as described above.

  Now, when processing is started in step S41, the CPU 21 calls a hypertension countermeasure healthcare program from the service program storage memory 24, and initialization is performed in step S42. After that, step S43, step S45, step S48, and step S54 and thereafter are processed in a multitasking manner.

  Among these, in step S43, the user is observed, and for example, when a slight high blood pressure symptom, such as stiff shoulder, headache, heavy head, dizziness symptom or the like is detected, it is registered in the lifestyle pattern database. In the next step S44, a conversation is made with the user, and if the keyword related to high blood pressure is found, it is also registered in the life pattern database.

  In step S45, the life pattern database is periodically searched to check whether there are frequent symptoms of hypertension and related keywords. If the keyword appears frequently in step S46, the level 1 flag, which is the level of caution for hypertension (there is no sign of onset yet) is turned on in step S47, and if it does not occur frequently, step S47 is bypassed.

  In step S48, it is checked whether or not the level 1 flag is on. If it is on, in step S49, the CPU 21 instructs the actuator drive circuit 25 to control the running motor 40 and drives the running wheel 14 to drive the user. The voice interface 28 is controlled by moving to the position, and the speaker 8 is asked to measure the blood pressure, and the user is prompted to wear the sphygmomanometer for measurement. Then hear the measurement results and register them in the lifestyle pattern database.

  In step S50, the lifestyle pattern database is periodically searched, blood pressure measurement values are analyzed, and it is checked in step S51 whether there is a suspicion of high blood pressure. If there is a suspicion, the level 2 flag that is the hypertension onset level is turned on in step S52, and if there is no suspicion, the level 1 & 2 flag is turned off in step S53.

  Further, in step S54, it is checked whether or not the level 2 flag is on. If it is off, nothing is done. If it is on, the CPU 21 controls the audio interface 28 and the video output control circuit 29 in step S55. The output device 9 presents a blood pressure reduction countermeasure menu in a timely manner.

  In step S56, the lifestyle pattern database is periodically searched to check whether or not the blood pressure value is improved in step S57. If no improvement is observed, it is proposed to receive a doctor's diagnosis in step S58. If improvement is seen, go to step S59 to turn off the level 2 flag. Then, the process returns to step S42 and the same thing is repeated.

  Next, a health care service flow for diabetes countermeasures will be described with reference to FIG. Now, when the process is started in step S60, the CPU 21 calls a diabetes health care program from the service program storage memory 24, and an initial setting is made in step S61. After that, step S62, step S63, step S66, and step S72 and subsequent steps are processed in a multitasking manner.

  Among these, in step S62, the user is observed, for example, fatigue, thirst, heavy drinking (night drinking), heavy urine (night drinking), strong hunger, eating, When a conversation or action such as weight gain is detected, it is registered in the lifestyle pattern database. In the next step S63, the lifestyle pattern database is periodically searched to check whether symptoms in early diabetes and related keywords are frequently appearing. If the keyword frequently appears in step S64, the level 1 flag, which is a level requiring attention for diabetes (there is a sign but has not yet developed symptoms) is turned on in step S65, and if it does not occur frequently, step S65 is bypassed.

  In step S66, it is checked whether or not the level 1 flag is on. If it is off, nothing is done. If it is on, in step S67, the CPU 21 instructs the actuator drive circuit 25 to control the travel motor 40, and travels. The driving wheel 14 is driven and moved to the user to control the voice interface 28, and the speaker 8 is urged to take a blood test periodically. Then hear the measurement results and register them in the lifestyle pattern database.

  In step S68, the life pattern database is periodically searched, blood test results are checked, and in step S64, it is checked whether there is a suspicion of initial diabetes. If there is any doubt, the level 2 flag, which is the initial diabetes onset level, is turned on in step S70, and if there is no doubt, the level 1 & 2 flag is turned off in step S71.

  Further, in step S72, it is checked whether or not the level 2 flag is on. If it is off, nothing is done. If it is on, the CPU 21 controls the audio interface 28 and the video output control circuit 29 in step S55. A countermeasure menu is presented by the output device 9 in a timely manner.

  In step S74, the life pattern database is periodically searched to check whether or not symptoms are improved in step S74. If no improvement is observed, it is proposed to receive a doctor's diagnosis in step S76. If improvement is seen, go to step S77 and turn off the level 2 flag. Then, the process returns to step S61 and repeats the same thing.

  Next, a health care service flow for improving obesity will be described with reference to FIG. Now, when processing is started in step S80, the CPU 21 calls the obesity-improving health care program from the service program storage memory 24, and initialization is performed in step S81. After that, step S82, step S84, step S87, and step S93 and thereafter are processed in a multitasking manner.

  Among these, in step S82, the user is observed and behaviors that affect obesity are registered in the lifestyle pattern database. Also, for example, if it is found that the user is concerned about the body type, weight, height, and body fat percentage through a weight scale or a conversation with the user, those keywords are registered in the life pattern database. In the next step S84, the life pattern database is periodically searched to check whether there are frequent actions and keywords that affect obesity. If the keyword frequently appears in step S85, the level 1 flag, which is the level of attention required for obesity (there is a sign but has not yet developed symptoms) is turned on in step S86, and if not frequently, step S86 is bypassed.

  In step S87, it is checked whether the level 1 flag is on. If it is off, nothing is done. If it is on, in step S88, the CPU 21 instructs the actuator drive circuit 25 to control the travel motor 40, and travels. The wheel 14 is driven and moved to the user to control the voice interface 28, and the speaker 8 prompts the user to regularly measure the weight and body fat percentage. Then hear the measurement results and register them in the lifestyle pattern database.

  In step S89, the life pattern database is periodically searched, the measurement result is checked, and it is checked in step S90 whether the patient is obese. If the patient is obese, the level 2 flag that is the obesity recognition level is turned on in step S91, and if not obese, the level 1 & 2 flag is turned off in step S92.

  Further, in step S93, it is checked whether or not the level 2 flag is on. If it is off, nothing is done. If it is on, the CPU 21 controls the audio interface 28 and the video output control circuit 29 in step S94. The output device 9 points out problems in lifestyle at the appropriate time and presents a countermeasure menu.

  In step S95, the life pattern database is periodically searched to check whether improvement is observed in obesity in step S96. If no improvement is observed, it is proposed to receive a doctor's diagnosis in step S97. If improvement is observed, the process goes to step S98 to turn off the level 2 flag. Then, the process returns to step S81 and repeats the same thing.

  As described above, according to the present invention, the user neglects or forgets to wear the measuring device while using the biological data measuring device including the data measuring device that the user voluntarily wears and measures. Providing a healthcare service system that uses a robot to prevent and detect lifestyle-related diseases by detecting heart disease, high blood pressure, diabetes, obesity, etc. Can do.

  According to the present invention, a user using a health care service can surely perform data measurement, and can also prevent or detect lifestyle-related diseases by determining hypertension, diabetes, obesity, and the like. It can be used to prevent lifestyle-related diseases.

It is a front view of an example of the robot used for the healthcare service system using the robot which becomes this invention. FIG. 2 is a control block diagram of the robot shown in FIG. 1 and a block diagram of a health care service system. It is a main flowchart of the healthcare service system using the robot according to the present invention. It is a flowchart of the heart disease sudden death prevention service. It is a flowchart of a hypertension countermeasure support service. It is a flowchart of a diabetes countermeasure support service. It is a flowchart of an obesity improvement support service.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Robot main body 3 1st imaging device 4 Microphone 5 Eye provided with the 2nd imaging device 8 Speaker 9 Image display 11 Ultrasonic obstacle sensor 13 Infrared distance, obstacle sensor 15 Network 16 Healthcare service center 17 Medical Engine 18 Fire station 19 Family 20 in remote area Control device 21 CPU
22 control program storage memory 23 data memory 24 service program storage memory 25 actuator drive circuit 26 sensor control circuit 27 display control circuit 28 audio interface 29 video output control circuit 30 biosensor input circuit 31 network communication unit 40 travel motor 41 Right arm 42 Left arm axis motor 43 Neck motor 47 Status LED
48 Wireless receiver 49 Biosensor

Claims (4)

A health care service system using a robot having a traveling wheel, grasping the surrounding situation by an imaging device and a sensor and moving autonomously, and having a voice recognition device and capable of talking with a user,
The robot has a function of creating a database of the user's life pattern, a function of prompting the user to measure in conversation with the user when it is time for the user to wear a biometric sensor and measure the life pattern database of the user, A function for receiving a signal from a biometric sensor wirelessly, a function for determining whether or not the measured biometric data of the user is abnormal, and determining a user's abnormality based on a conversation between the user's image data captured by the imaging device and the user And a function of contacting a health care service center and / or a medical institution via a network from a network communication unit provided in the robot when it is determined that there is an abnormality from the biometric data and the image data and conversation of the user And
A healthcare service system using a robot that features a database of user life patterns and encourages users to ensure measurement and find hidden illnesses.   2. The robot according to claim 1, wherein the robot has an image display device, and guides the mounting method by voice and video when the user does not know the mounting method of the measuring device when measuring data by the user's biosensor. A healthcare service system using robots.   The health care service system using the robot according to claim 1 or 2, wherein the robot has a function of confirming a wearing state of the biosensor when the user wears the biosensor.   The health care service system using a robot according to any one of claims 1 to 3, wherein the robot has a database of unique symptoms related to high blood pressure, diabetes, and obesity and keywords related to each.

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