KR102597006B1 - Physical therapy management system - Google Patents

Abstract

The present invention relates to a physical therapy management system, and specifically, to physical therapy that can selectively switch a physical therapy device to any one treatment mode based on pre-registered patient information according to a bed identification code relayed from the physical therapy device. It's about the management system. To this end, the physical therapy management system uses an NFC tag that is linked by measuring cardiac ballistics-based bio-signals through an acceleration sensor provided inside one of a plurality of mattress units, and generates a bed identification code. A smart bed that issues a physical therapy device that recognizes the bed identification code through an NFC reader that communicates in close range with the NFC tag, and whether each bed identification code relayed through the network from the physical therapy device and the smart bed is the same. , including an integrated management device that integrates and identifies the smart bed and the physical therapy device as remote management objects, and the integrated management device, based on patient information pre-registered according to the bed identification code, identifies the physical therapy device as a plurality of physical therapy devices. Selectively switches to one of the treatment modes.

Description

PHYSICAL THERAPY MANAGEMENT SYSTEM}

The present invention relates to a physical therapy management system, and specifically, identifies a remote management target based on whether each bed identification code relayed from a physical therapy device and a smart bed is the same, and multiple physical therapy devices based on pre-registered patient information. It relates to a physical therapy management system that can selectively switch to any one of the treatment modes.

Recently, as urbanization and industrialization have progressed at a rapid pace, society has become more complex and diversified, and members of society are also suffering from a lot of stress and fatigue due to commercialization and urbanization.

Because of this, in recent years, various types of health aids have emerged to treat diseases that accompany people's stress and fatigue, such as muscle pain, neuralgia, stiffness, and disc problems.

Among these, the most widely used therapeutic devices are those that use massage or heat. And in hospitals and oriental medicine clinics that mainly provide physical therapy, the use of physical therapy devices using heat is more common.

However, since physical therapy devices and beds are managed separately by administrators, there is a need for a physical therapy management system that can integrate them and manage them remotely.

The present invention is to solve the above problems, and the purpose of the present invention is to identify remote management targets based on whether each bed identification code relayed from the physical therapy device and the smart bed is the same, and to identify remote management targets based on pre-registered patient information. The purpose is to provide a physical therapy management system that can selectively switch a physical therapy device to any one of a plurality of treatment modes.

The above and other objects and advantages of the present invention will become apparent from the following description of preferred embodiments.

In order to achieve the above object, the physical therapy management system according to an embodiment of the present invention uses an NFC tag that is linked by measuring cardiac ballistic-based bio-signals through an acceleration sensor provided inside any one of a plurality of mattress units. Using a smart bed that issues a bed identification code, a physical therapy device that recognizes the bed identification code through an NFC reader that communicates at close range with the NFC tag, and each bed identification that is relayed through a network from the physical therapy device and the smart bed Based on whether the codes are the same, it includes an integrated management device that integrates and identifies the smart bed and the physical therapy device as remote management objects, and the integrated management device is based on patient information pre-registered according to the bed identification code. , the physical therapy device is selectively switched to any one of a plurality of treatment modes.

In an embodiment, the integrated management device gradually adjusts the intensity of treatment stimulation for any of the treatment modes based on a cumulative average of the bio-signals transmitted over a certain period of time from the smart bed through a network.

In an embodiment, when the cumulative average is a heart rate of 120 or more, the integrated management device gradually adjusts the treatment stimulation intensity for any of the treatment modes to the lowest level, and when the cumulative average is less than a heart rate of 50, the The intensity of treatment stimulation for one treatment mode is gradually adjusted to the highest intensity, and if the biosignal corresponds to a critical value, any of the treatment modes is deactivated and the biosignal and the above are transmitted to the administrator terminal through the network. Send the bed identification code.

In an embodiment, the integrated management device provides a question-and-answer service through the physical therapy device in a heart rate zone where the cumulative average is stable, based on preset specific keywords and onomatopoeia received from the patient to stimulate the treatment. Adjust the intensity in fine adjustment units.

In an embodiment, the integrated management device includes a body pressure receiver that receives body pressure information for each region measured through a plurality of piezoelectric sensors linked according to the biological signals, a body pressure distribution map drawn according to the body pressure information for each region, and a standard for each posture. A posture change guide unit that guides posture change through a speaker module of the physical therapy device based on the color area difference for each region between body pressure distribution diagrams, and a color area for each region between the body pressure distribution diagram and the reference body pressure distribution diagram obtained by guiding the posture change. A posture selection unit that selects a customized posture based on whether or not it corresponds, and a treatment device that selectively deactivates and activates the physical therapy device based on the posture deviation area and allowable area classified according to the customized posture from the plurality of piezoelectric sensors. Includes a control unit.

In an embodiment, the treatment device control unit sets a supplementary treatment time for one of the treatment modes based on the deactivation time for the physical therapy device, the supplementary treatment time is more than a preset time, and the number of deactivations is When the number is more than a preset number, control is performed to re-guide the posture change through the posture change guide unit.

In an embodiment, the integrated management device includes an initialization unit that initializes the lifting height for each part of the plurality of mattress units as the biological signals are measured, and a posture correction part target based on the color area difference for each part. An identification unit that identifies the posture correction part target, a unit control unit that adjusts the height of the plurality of mattress units to a preset lifting height for each part according to the posture correction part target, and corrective exercise content searched through the web using the posture correction part target as a search keyword. It includes a service management department that provides services to patient terminals through physical therapy management services.

In an embodiment, the service management unit is derived by applying a request unit to request a probe image attached to the body from the patient terminal through the physical therapy management service and an attached diagnosis model for each treatment mode based on artificial intelligence. Based on the output value, it includes a diagnostic unit that diagnoses abnormal attachment and a management notification unit that guides the administrator terminal to reattach the probe connected to the physical therapy machine based on the abnormal attachment, and the artificial intelligence-based attachment. The diagnostic model is an artificial neural network algorithm derived by learning through machine learning multiple learning images of abnormal probes attached to the body.

According to an embodiment of the present invention, by selectively switching a physical therapy device to one of a plurality of treatment modes, nurses or managers other than doctors can operate and manage the physical therapy device more easily and efficiently. You can.

Figure 1 is a diagram schematically showing the physical therapy management system 1000 of the present invention.
FIG. 2A is an embodiment of the smart bed 100 of FIG. 1, and FIG. 2B is an embodiment of the physical therapy device 200 of FIG. 1.
FIG. 3 is a block diagram specifically showing an embodiment of the integrated management device 300 of FIG. 1, and FIG. 4 is an embodiment of a body pressure distribution diagram.
FIG. 5 is a block diagram specifically showing another embodiment of the integrated management device 300_1 of FIG. 4.
FIG. 6 is a block diagram showing an embodiment of the service management unit 380 of FIG. 5.

Hereinafter, the present invention will be described in detail with reference to embodiments of the present invention and drawings. These examples are merely presented as examples to explain the present invention in more detail, and it will be apparent to those skilled in the art that the scope of the present invention is not limited by these examples. .

Additionally, unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by a person skilled in the art to which the present invention pertains, and in case of conflict, this specification including definitions The description will take precedence.

In order to clearly explain the proposed invention in the drawings, parts unrelated to the description have been omitted, and similar reference numerals have been assigned to similar parts throughout the specification. And, when it is said that a part "includes" a certain component, this means that it does not exclude other components, but may further include other components, unless specifically stated to the contrary. Additionally, “unit” as used in the specification refers to a unit or block that performs a specific function.

Collection codes (1st, 2nd, etc.) for each step are used for convenience of explanation. The collection codes do not explain the order of each step, and each step does not clearly state a specific order in context. It may be carried out differently from the order specified above. That is, each step may be performed in the same order as specified, may be performed substantially simultaneously, or may be performed in the opposite order.

Figure 1 is a diagram schematically showing the physical therapy management system 1000 of the present invention, Figure 2a is an embodiment of the smart bed 100 of Figure 1, and Figure 2b is an example of the physical therapy device 200 of Figure 1. This is an example.

When described with reference to FIGS. 1 to 2B, the physical therapy management system 1000 may include a smart bed 100, a physical therapy device 200, and an integrated management device 300.

First, the smart bed 100 can measure cardiac ballistics-based biosignals through the acceleration sensor 101 provided inside one (e.g., 120) of a plurality of mattress units (e.g., 110 to 150). .

Here, biosignals based on cardiac ballistics may include heart rate and respiration data.

As shown in FIG. 2A, a plurality of mattress units (eg, 110 to 150) may be formed to individually support main parts of the body.

Specifically, each mattress unit (eg, 110 to 150) may include a mattress 111 to support the body and a hydraulic cylinder 112 connected to the matrix 111 to adjust the height of the mattress.

For example, the main parts of the body may mean the head, cervical spine, thoracic spine, lumbar spine, pelvis, and legs.

This smart bed 100 can issue a bed identification code using an NFC tag 102 that is linked as biosignals are measured through the acceleration sensor 101 and output through short-distance communication.

Here, the bed identification code may include location information of the smart bed 100.

Next, the physical therapy device 200 recognizes the bed identification code through the NFC tag 102 provided in each smart bed 100 and the NFC reader 201 in short-distance communication, and sends it to the integrated management device 300 through the network. Can be transmitted.

For example, as shown in Figure 2b, the physical therapy device 200 is formed to be movable toward the smart bed 100, and has an NFC reader 201 for short-distance communication inside and a probe 202 extended to the outside. ) can be included.

Next, the integrated management device 300 manages the smart bed 100 and the physical therapy device 200 based on whether each bed identification code relayed through the network from the smart bed 100 and the physical therapy device 200 is the same. It can be integrated and identified as a remote management target.

For example, the integrated management device 300 is a device capable of communication, such as a smart phone, laptop computer, digital broadcasting terminal device, personal digital assistants (PDA), portable multimedia player (PMP), It can also be implemented as a navigation, slate PC, or tablet PC.

At this time, the integrated management device 300 selectively switches the physical therapy device 200 to any one of a plurality of treatment modes based on patient information pre-registered according to the bed identification code, thereby allowing nurses other than doctors to I can support the administrator to operate and manage the physical therapy machine 200 more easily and efficiently.

Here, the pre-registered patient information may include personal information, location information of the smart bed 100, treatment target area, and treatment mode type.

At this time, the plurality of treatment modes may include at least one mode among heat therapy, cold therapy, electrotherapy, light therapy, mechanical therapy, and massage therapy.

According to one embodiment, the integrated management device 300 can gradually adjust the intensity of treatment stimulation for any one treatment mode based on the cumulative average of bio-signals transmitted over a certain period of time from the smart bed 100. .

Specifically, when the cumulative average of bio-signals transmitted from the smart bed 100 is heart rate 120 or higher, the integrated management device 300 can gradually adjust the intensity of treatment stimulation for any one treatment mode to the lowest level.

In addition, when the cumulative average of bio-signals transmitted from the smart bed 100 is less than heart rate 50, the integrated management device 300 can gradually adjust the intensity of treatment stimulation for any one treatment mode to the highest intensity.

According to another embodiment, the integrated management device 300 deactivates any treatment mode when the biosignal transmitted through the network from the smart bed 100 corresponds to a risk value and simultaneously displays the administrator terminal (not shown) through the network. Biometric signals and bed identification code can be transmitted to the city).

According to another embodiment, the integrated management device 300 provides a question-and-answer service through the physical therapy device 200 in a heart rate range where bio-signals are stable, for example, heart rate 50 to 120, and receives a preset response from the patient by providing a question-and-answer service. Based on specific keywords and onomatopoeia, the therapeutic stimulation intensity can be adjusted in fine adjustment units.

According to another embodiment, the integrated management device 300 provides the difference between the subject's heart rate signal measured through a laser sensor (not shown) provided in the patient terminal (not shown) and the biometric signal transmitted from the smart bed 100. Based on the presence or absence, a malfunction check for the physical therapy device 200 may be requested from an administrator terminal (not shown).

According to another embodiment, the integrated management device 300 provides the difference between the subject's heart rate signal measured through a laser sensor (not shown) provided in the patient terminal (not shown) and the biometric signal transmitted from the smart bed 100. Based on the presence or absence, a malfunction check for the physical therapy device 200 may be requested from an administrator terminal (not shown).

According to another embodiment, the integrated management device 300 is a physical therapy device 200 based on a flame object detected through a thermal imaging camera (not shown) disposed at a certain distance from the smart bed 100. You can warn of a fire outbreak through .

According to another embodiment, the integrated management device 300 warns of the occurrence of an earthquake for a certain period of time through the physical therapy device 200, based on the preset earthquake frequency detected by the acceleration sensor 101 of the smart bed 100. Next, the power supply to the physical therapy device 200 can be cut off.

Hereinafter, the configuration of the present invention and its effects will be described in more detail through specific examples and comparative examples. However, these examples are for illustrating the present invention in more detail, and the scope of the present invention is not limited to these examples.

FIG. 3 is a block diagram specifically showing an embodiment of the integrated management device 300 of FIG. 1, and FIG. 4 is an embodiment of a body pressure distribution diagram.

When described with reference to FIGS. 1 to 4 , the integrated management device 300 may include a body pressure receiver 310, a posture change guide unit 320, a posture selection unit 330, and a treatment device control unit 340.

First, the body pressure receiver 310 can receive body pressure information for each region measured through a plurality of piezoelectric sensors (50_1 to 50_N) linked according to biological signals through a network.

Here, the plurality of piezoelectric sensors (50_1 to 50_N) may be spaced apart at a certain distance inside each mattress unit (110 to 150) in order to measure body pressure information for each part.

Next, the posture change guide unit 320 uses the speaker module 203 of the physical therapy device 200 based on the color area difference for each region between the body pressure distribution map drawn according to the body pressure information for each region and the reference body pressure distribution diagram for each posture. Can guide posture changes.

Here, the body pressure distribution chart may be an image in which colors corresponding to body pressure information for each region are displayed, as shown in FIG. 4 .

For example, when the color difference area between the body pressure distribution map and the reference body pressure distribution map for each posture exceeds a certain area, the posture change guide unit 320 guides the posture change through the speaker module 203 of the physical therapy device 200. You can.

Next, the posture selection unit 330 selects a customized posture based on whether the color area for each part corresponds between the body pressure distribution obtained by guiding the posture change through the posture change guide unit 320 and the reference body pressure distribution for each posture. You can select.

Here, the customized posture may refer to the patient's treatment posture in which the color area for each part between the body pressure distribution map and the reference body pressure distribution map for each posture is within a preset value.

Next, the treatment device control unit 340 selectively operates the physical therapy device 200 based on detection of the posture deviation area and the allowable area classified according to the customized posture measured from the plurality of piezoelectric sensors 50_1 to 50_N. It can be deactivated and activated.

According to one embodiment, the treatment device control unit 340 may automatically set the supplementary treatment time for one treatment mode based on the inactivation time for the physical therapy device 200.

According to another embodiment, the treatment device control unit 340 changes the posture through the posture change guide unit 320 when the supplementary treatment time is more than a preset time and the number of deactivations for the physical therapy device 200 is more than the preset number. It can be controlled to re-guide.

FIG. 5 is a block diagram specifically showing another embodiment of the integrated management device 300_1 of FIG. 4.

1 to 3 and 5, the integrated management device 300_1 includes a body pressure receiver 310, a posture change guide unit 320, a treatment device control unit 340, an initialization unit 350, and an identification unit ( 360), a unit control unit 370, and a service management unit 380. Hereinafter, duplicate descriptions of the body pressure receiver 310, posture change guide unit 320, posture selection unit 330, and treatment device control unit 340 of the same member number described in FIG. 3 will be omitted.

First, the initialization unit 350 may initialize the lifting height for each part of the plurality of mattress units (eg, 110 to 150) of the smart bed 100 as the biosignal is measured.

Next, the identification unit 360 may identify the posture correction part target based on the color area difference for each part between the body pressure distribution map and the reference body pressure distribution map for each posture.

Next, the unit control unit 370 can individually adjust the height of a plurality of mattress units (eg, 110 to 150) to a preset elevation height for each region according to the posture correction region target.

For example, in order to individually adjust the height of a plurality of mattress units (e.g., 110 to 150) with a preset elevation height for each region, the unit control unit 370 applies and discharges operating hydraulic pressure to each hydraulic cylinder 112. can be individually controlled to do so.

Depending on the embodiment, the unit control unit 370 may adjust the raising and lowering speed for adjusting the height of a plurality of mattress units (e.g., 110 to 150) based on body pressure distribution, body weight, and obesity of the user's body estimated based on height. You can.

For example, when the obesity degree is more than a preset value, the unit control unit 370 reduces the raising and lowering speed of a plurality of mattress units (e.g., 110 to 150), and when the obesity degree is less than a preset value, the unit control unit 370 Can increase the raising and lowering speed of a plurality of mattress units (eg, 110 to 150).

Next, the service management unit 380 can serve corrective exercise content searched through the web using the posture correction part target as a search keyword to the patient terminal 20 through the physical therapy management service. For example, the physical therapy management service may be an app program provided to the administrator terminal 10 and the patient terminal 20.

FIG. 6 is a block diagram showing an embodiment of the service management unit 380 of FIG. 5.

When described with reference to FIGS. 5 and 6 , the service management unit 380 may include a request unit 381, a diagnosis unit 382, and a management notification unit 383.

First, the request unit 381 may request an image of a probe attached to the body from the patient terminal 20 through the physical therapy management service.

Here, the probe may be a captured image of the probe 202, which is extended and connected from the physical therapy device 200 and attached to the patient's body to perform physical therapy.

Depending on the embodiment, the request unit 381 may correct the sharpness through a No-reference quality assessment (NRQA) evaluation method for the probe image.

Next, the diagnostic unit 382 can diagnose abnormal attachment based on the output value derived by applying the probe image to the artificial intelligence-based attachment diagnosis model for each treatment mode.

Here, the artificial intelligence-based attachment diagnosis model may be an artificial neural network (ANN) algorithm derived by learning a plurality of learning images of abnormally attached probes to the body through machine learning.

For example, artificial neural network algorithms are mainly used in deep learning, are statistical learning algorithms inspired by machine learning and biological neural networks, and can be convolutional neural networks that include feature extraction neural networks and classification neural networks. At this time, the convolutional neural network is a type of deep, feed-forward artificial neural network used to analyze visual images. It can be divided into the process of extracting image features and classifying classes, extracting and extracting features of a specific image, and Images can be recognized based on the features provided.

This artificial intelligence-based attachment diagnosis model may be one of the following algorithms: Artificial Neural Network, SVM (Support Vector Machine), Decision Tree, and Random Forest.

Next, the management notification unit 383 may guide the manager terminal 20 to reattach the probe 202 to the patient's body based on abnormal attachment diagnosed through the diagnosis unit 382.

In this specification, only a few examples of various embodiments performed by the present inventors are described, but the technical idea of the present invention is not limited or limited thereto, and of course, it can be modified and implemented in various ways by those skilled in the art.

10: Administrator terminal
20: Patient terminal
100: Smart bed
200: Physical therapy machine
300: Integrated management device
1000: Physical therapy management system

Claims (8)

A smart bed that issues a bed identification code using an NFC tag that is linked by measuring cardiac ballistic-based bio-signals through an acceleration sensor provided inside one of a plurality of mattress units;
A physical therapy device that recognizes the bed identification code through an NFC reader in short-distance communication with the NFC tag; and
It includes an integrated management device that integrates and identifies the smart bed and the physical therapy device as remote management targets based on whether each bed identification code relayed from the physical therapy device and the smart bed through a network is the same,
The integrated management device selectively switches the physical therapy device to one of a plurality of treatment modes based on patient information pre-registered according to the bed identification code,
The integrated management device includes a body pressure receiver that receives body pressure information for each area measured through a plurality of piezoelectric sensors linked according to the biological signals;
A posture change guide unit that guides posture change through a speaker module of the physical therapy machine based on the color area difference for each region between the body pressure distribution drawn according to the body pressure information for each region and the reference body pressure distribution for each posture;
a posture selection unit that selects a customized posture based on whether the color area of each part corresponds between the body pressure distribution obtained by guiding the posture change and the reference body pressure distribution; and
A treatment device control unit that selectively deactivates and activates a physical therapy device based on a posture deviation area and an allowable area classified according to the customized posture from the plurality of piezoelectric sensors,
The integrated management device includes an initialization unit that initializes the lifting height for each part of the plurality of mattress units as the biological signals are measured;
an identification unit that identifies a posture correction part target based on the color area difference for each part;
A unit control unit that adjusts the height of the plurality of mattress units to a preset elevation height for each region according to the posture correction region target; and
It includes a service management unit that serves corrective exercise content searched through the web using the posture correction area target as a search keyword to a patient terminal through a physical therapy management service,
The service management unit includes a request unit that requests an image of a probe attached to the body from a patient terminal through the physical therapy management service;
A diagnostic unit that diagnoses abnormal attachment based on an output value derived by applying the probe image to an artificial intelligence-based attachment diagnosis model for each treatment mode; and
A management notification unit that guides the administrator terminal to reattach the probe connected to the physical therapy machine based on whether the attachment is abnormal,
The artificial intelligence-based attachment diagnosis model is a physical therapy management system that is an artificial neural network algorithm derived by learning through machine learning a plurality of learning images of abnormal probes attached to the body. According to paragraph 1,
The integrated management device is a physical therapy management system that gradually adjusts the intensity of treatment stimulation for any of the treatment modes based on the cumulative average of the biological signals transmitted over a certain period of time from the smart bed through the network. According to paragraph 2,
When the cumulative average is more than 120 heart rate, the integrated management device gradually adjusts the treatment stimulation intensity for any of the treatment modes to the lowest level,
If the cumulative average is less than 50 heart rate, the intensity of treatment stimulation for any of the treatment modes is gradually adjusted to the highest intensity,
A physical therapy management system that deactivates any treatment mode and transmits the biosignal and the bed identification code to an administrator terminal through a network when the biosignal corresponds to a risk level. According to paragraph 2,
The integrated management device provides a question-and-answer service through the physical therapy device in the heart rate zone where the cumulative average is stable, and fine-adjusts the intensity of the treatment stimulus based on preset specific keywords and onomatopoeia received from the patient. Controlled by a physical therapy management system. delete According to paragraph 1,
The treatment device control unit sets a supplementary treatment time for one of the treatment modes based on the deactivation time for the physical therapy device,
A physical therapy management system that controls to re-guide a posture change through the posture change guide unit when the supplementary treatment time is more than a preset time and the number of deactivations is more than a preset number.

delete delete