KR20220127981A - Fall prediction system using radar sensor and infrared sensor, and method of the same - Google Patents

Abstract

Disclosed is a fall prediction system comprising: a radar sensor installed on the top of a medical bed and configured to measure the patient's heart rate and respiration and to obtain heart rate data and respiration data; a patient state analysis unit configured to compare the heart rate data and the respiration data with a set first reference heart rate intensity and a set first reference respiration intensity, determine that the patient is in a measurement standby state in which the patient is stationary on the medical bed if the heart rate data is greater than or equal to the first reference heart rate intensity and the respiration data is greater than or equal to the first reference respiratory intensity, and determine that the patient is in a moving state in which the patient moves on the medical bed if the heart rate data is less than the first reference heart rate intensity or the respiration data is less than the first reference respiratory intensity; an infrared sensor installed on the top of the medical bed and configured to sense an object in a measurement area including the medical bed by using infrared rays; and a fall prediction unit configured to predict a fall of the patient by analyzing the position and movement direction of the object measured by the infrared sensor according to the patient state determined based on the measurement value of the radar sensor. A patient's fall can be predicted in advance.

Description

FALL PREDICTION SYSTEM USING RADAR SENSOR AND INFRARED SENSOR, AND METHOD OF THE SAME

The present invention relates to a fall prediction system and a fall prediction method, and more particularly, a radar sensor and an infrared sensor that can predict a fall symptom before a patient falls from a medical bed using a radar sensor and an infrared sensor It relates to a fall prediction system based on the fall prediction method and a fall prediction method thereby.

In recent years, as we enter an aging society, the number of elderly patients is also increasing rapidly. As a result, the number of accidents in which elderly patients fall from medical beds in hospitals is increasing. Although technology to detect a patient's fall is being researched, most of them are limited to detecting that a fall accident is occurring or detecting the fact that an accident has occurred after the fall has occurred. The existing technology is lacking.

An object of the present invention is to provide a fall prediction system based on a radar sensor and an infrared sensor capable of predicting a fall symptom in advance before a patient falls from a medical bed, and a fall prediction method using the same.

In addition, the present invention can predict a patient's fall symptoms early and accurately by using a radar sensor and an infrared sensor in combination, and a radar sensor and an infrared sensor that can prevent a patient's behavior without a fall risk from being mistakenly recognized as a fall An object of the present invention is to provide a fall prediction system and a fall prediction method using the same.

A fall prediction system according to an embodiment of the present invention includes: a radar sensor installed on the upper part of the medical bed, configured to obtain heart rate data and respiration data by measuring a patient's heart rate and respiration; Comparing the heart rate data and the respiration data with a set first reference heart rate intensity and a set first reference respiratory intensity, when the heart rate data is equal to or greater than the first reference heart rate intensity and the respiration data is equal to or greater than the first reference respiratory intensity, the It is determined that the patient is stationary on the medical bed, and when the heart rate data is less than the first reference heart rate strength or the respiration data is less than the first reference breathing strength, the patient is moving on the medical bed a patient state analysis unit configured to determine the movement state; an infrared sensor installed on the medical bed and configured to detect an object for a measurement area including the medical bed using infrared rays; and a fall prediction unit configured to predict the patient's fall by analyzing the position and movement direction of the object measured by the infrared sensor according to the patient's condition determined based on the measurement value of the radar sensor.

The fall prediction system according to an embodiment of the present invention may further include: a controller configured to control the operation of the infrared sensor according to the operation state of the patient. The controller is configured to: stop the operation of the infrared sensor when the patient is in a measurement standby state; When the patient is in a state of movement, the operation of the infrared sensor may be initiated.

A fall prediction method according to an embodiment of the present invention includes: obtaining heart rate data and respiration data by measuring a patient's heart rate and respiration by a radar sensor installed on an upper portion of a medical bed; By comparing the heart rate data and the respiration data with a set first reference heart rate intensity and a set first reference respiratory intensity by the patient state analyzer, the heart rate data is greater than or equal to the first reference heart rate intensity, and the respiration data is the first If it is greater than or equal to the reference respiratory intensity, it is determined that the patient is stationary on the medical bed to be measured, and when the heart rate data is less than the first reference heartbeat intensity or the respiration data is less than the first reference respiratory intensity, the patient Determining the state of movement that is moving on the medical bed; detecting an object with respect to a measurement area including the medical bed using infrared rays by an infrared sensor installed on the medical bed; predicting the patient's fall by analyzing the position and movement direction of the object measured by the infrared sensor according to the patient's condition determined based on the measurement value of the radar sensor by the fall prediction unit have.

The method for predicting a fall according to an embodiment of the present invention may further include: by the controller, controlling the operation of the infrared sensor according to the operation state of the patient. The controlling of the operation of the infrared sensor may include: when the patient is in a measurement standby state, stopping the operation of the infrared sensor; and when the patient is in a moving state, starting the operation of the infrared sensor.

According to an embodiment of the present invention, a fall prediction system and a fall prediction method based on a radar sensor and an infrared sensor capable of predicting a fall symptom in advance before a situation in which a patient falls from a medical bed occurs.

In addition, according to an embodiment of the present invention, it is possible to predict the symptoms of a patient's fall early by using a radar sensor and an infrared sensor in combination, and it is possible to prevent a patient's behavior without a fall risk from being mistakenly recognized as a fall.

1 is a diagram schematically showing a fall prediction system based on a radar sensor and an infrared sensor according to an embodiment of the present invention.
2 is a conceptual diagram for explaining a fall prediction method using a radar sensor and an infrared sensor according to an embodiment of the present invention.
3 is an exemplary view for explaining a fall prediction method using a radar sensor and an infrared sensor according to an embodiment of the present invention.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention pertains It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout.

In the present specification, when a part "includes" a certain component, this means that other components may be further included rather than excluding other components unless otherwise stated. As used herein, '~ unit' is a unit for processing at least one function or operation, and may refer to, for example, software, FPGA, or hardware component. A function provided by '~ unit' may be performed separately by a plurality of components, or may be integrated with other additional components. The term '~' in the present specification is not necessarily limited to software or hardware, and may be configured to reside in an addressable storage medium, or may be configured to reproduce one or more processors. Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.

1 is a diagram schematically showing a fall prediction system according to an embodiment of the present invention. 2 is a conceptual diagram for explaining a fall prediction method according to an embodiment of the present invention. 3 is an exemplary diagram of a fall prediction method according to an embodiment of the present invention.

1 to 3 , a fall prediction system according to an embodiment of the present invention may include a radar sensor, an infrared sensor, a patient condition analysis unit, a fall prediction unit, and a control unit. The radar sensor is installed on the upper part of the medical bed, detects whether the patient is in the medical bed, and measures the patient's heart rate and respiration to obtain heart rate data and respiration data.

The patient state analyzer may compare the heartbeat data and respiration data acquired by the radar sensor with a set first reference heartbeat intensity and a set first reference respiration intensity. When the heart rate data is greater than or equal to the first reference heart rate and the respiration data is equal to or greater than the first reference respiratory strength, the patient state analyzer may determine that the patient is in a measurement standby state in which the patient is stationary on the medical bed. The patient state analyzer may determine that the patient is moving on the medical bed when the heartbeat data is less than the first reference heartbeat intensity or the respiration data is less than the first reference respiratory intensity.

The infrared sensor may be installed on the upper part of the medical bed, and may detect an object with respect to a measurement area including the medical bed using infrared rays. The fall prediction unit may predict the patient's fall by analyzing the position and movement direction of the object measured by the infrared sensor according to the patient's condition determined based on the measurement value of the radar sensor. The controller may control the operation of the infrared sensor according to the operation state of the patient. The controller may stop the operation of the infrared sensor when the patient is in a measurement standby state, and start the operation of the infrared sensor when the patient is in a moving state.

As such, when the radar sensor and/or the infrared sensor detects that the patient is lying down, the operation of the infrared sensor is stopped, and when the patient is switched from the lying state to the waking state, the operation of the infrared sensor can be started, , the operation of the infrared sensor may be stopped again when the patient is converted to a lying state again.

At this time, the patient's transition from waking up (sitting) to lying down on the medical bed is when the patient moves from the center of the medical bed to the upper position of the medical bed by the infrared sensor (moving state by the radar sensor) ), it can be determined from the change of the radar sensor to the measurement standby state (the patient is still in a stationary state).

The radar sensor may be provided as a respiration/heart rate detection radar sensor (eg, UWB radar sensor, etc.) capable of detecting the patient's position and micro-biological movements such as the patient's respiration/heart rate, but is limited thereto. not. The radar sensor may measure a heart rate and a breathing rate of a patient present in a medical bed.

The radar sensor may be installed in the upper region of the medical bed, and may be detachably installed in the medical bed through coupling means such as bolts/nuts, clamps, and the like. The radar sensor may be installed on the medical bed, on a wall adjacent to the medical bed, or installed on a separate support member (stand) adjacent to the medical bed. In order to accurately determine whether the patient is positioned on the bed and accurately measure the patient's respiration rate and heart rate, the radar sensor is preferably installed at a height of about 1.0 to 1.5 m from the upper surface of the mattress of the medical bed.

In order to increase fall prediction accuracy, an infrared sensor together with a radar sensor may be installed on the top of the medical bed. The infrared sensor may be configured to detect an object for an area corresponding to the medical bed using infrared rays. Like the radar sensor, the infrared sensor may be installed on a medical bed, on a wall adjacent to the medical bed, or on a separate support adjacent to the medical bed. For object detection for the entire area of the medical bed, the infrared sensor may be installed at a height of about 1.0 to 1.5 m from the upper surface of the mattress of the medical bed.

The fall prediction unit may predict the patient's fall by analyzing the position and movement direction of the object measured by the infrared sensor according to the patient's condition determined based on the measurement value of the radar sensor. The controller may control the operation of the infrared sensor according to the operation state of the patient. The controller may stop the operation of the infrared sensor when the patient is in a measurement standby state, and may start the operation of the infrared sensor when the patient is in a moving state.

The fall prediction unit may recognize a region corresponding to a maximum value among measurement values of the infrared sensor as an object corresponding to the patient's face. The position of the object may be calculated from the coordinates of the region corresponding to the maximum value among the measurement values of the infrared sensor. The moving direction of the object may be calculated by changing the coordinates of the area corresponding to the maximum value among the measurement values of the infrared sensor.

By using the infrared sensor, the position and movement direction of the object can be accurately calculated through the coordinates of the position corresponding to the maximum value, without calculating the overall average value of the entire area of the medical bed or the measurement target area. Therefore, even if the patient wakes up after lying down for a long time, the direction of movement of the patient can be accurately calculated, and the problem of a method using a non-contact temperature sensor can be overcome.

The fall prediction unit determines in real time whether the measurement standby state is maintained by the radar sensor in the initial state (Status_Normal) when the patient is lying on the medical bed. If the patient's respiration/heartbeat is not detected by the radar sensor, the patient is in a moving state, so it is converted from the measurement standby state to the moving state.

The fall prediction unit analyzes the position and movement direction of the object measured by the infrared sensor while the motion state is determined by the radar sensor, and the patient sits in the center of the bed (center position of the upper/middle/lower area of the medical bed) If it is determined that there is a state, it can be determined as a fall caution state (Status_Caution).

The fall prediction unit analyzes the position and movement direction of the object measured by the infrared sensor while it is determined as the movement state by the radar sensor, so that the patient is placed on the left side of the bed (the left boundary of the upper/middle/lower area of the medical bed) or If it is determined that it has moved to the right (the right boundary of the upper/middle/lower region of the medical bed), it may be determined as a fall risk state (Status_Warning).

According to the above-described embodiment of the present invention, a fall symptom of a patient can be predicted early based on a radar sensor and an infrared sensor, and a fall risk level can be predicted with high accuracy step by step. In addition, it is possible to prevent the patient from being mistakenly recognized as a fall in the case where there is no risk of falling. The fall prediction system according to an embodiment of the present invention can be suitably used to predict in advance the fall symptoms of an elderly patient who has a particularly high risk of a fall accident and has a high risk of injury when a fall accident occurs.

When it is sensed that the patient is stationary by the radar sensor (when the movement level is lower than the reference movement level, or when the respiratory rate / heart rate measurement level of the radar sensor is less than a preset second reference respiratory strength / second reference heart rate case, etc.), it may be configured to stop the operation of the infrared sensor.

When it is determined by the radar sensor that the patient has switched to a moving state (when the movement level is higher than the reference movement level, or the respiration rate/heart rate measurement level of the radar sensor is greater than or equal to a preset second reference respiratory intensity/second reference heartbeat intensity) case, etc.), the infrared sensor can be activated.

According to this embodiment, since it is not necessary to always operate the infrared sensor, it is possible to minimize power consumption and reduce the overall operating cost of the fall prediction system. The fall prediction system may include a memory (not shown) for storing a program for predicting a fall symptom of a patient, measurement data of a radar sensor and an infrared sensor, a position/motion/fall risk of a patient, and the like. The patient's position, movement, and fall information may be transmitted to the patient's protection terminal or the medical staff terminal, and may generate a warning when predicting the risk of a fall.

At least some of the configurations of the above-described embodiments may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, the apparatus, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). Array), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers.

The processing device may run an operating system and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, the processing device is sometimes described as being used, but one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It will be understood that this may include

For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a Parallel Processor. The software may include a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device.

The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CDROMs and DVDs, and ROM, RAM, and flash memory. Hardware devices specifically configured to store and execute program instructions, such as, etc. are included. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible by those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result. Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (4)

a radar sensor installed on the upper part of the medical bed and configured to obtain heart rate data and respiration data by measuring a patient's heart rate and respiration;
Comparing the heart rate data and the respiration data with a set first reference heart rate intensity and a set first reference respiratory intensity, when the heart rate data is equal to or greater than the first reference heart rate intensity and the respiration data is equal to or greater than the first reference respiratory intensity, the It is determined that the patient is stationary on the medical bed, and when the heart rate data is less than the first reference heart rate strength or the respiration data is less than the first reference breathing strength, the patient is moving on the medical bed a patient state analysis unit configured to determine the movement state;
an infrared sensor installed on the medical bed and configured to detect an object for a measurement area including the medical bed using infrared rays;
A fall prediction system comprising a; a fall prediction unit configured to predict a fall of the patient by analyzing the position and movement direction of the object measured by the infrared sensor according to the patient's condition determined based on the measurement value of the radar sensor . According to claim 1,
Further comprising; a control unit configured to control the operation of the infrared sensor according to the operating state of the patient,
The control unit is:
stopping the operation of the infrared sensor when the patient is in a measurement standby state; and initiate operation of the infrared sensor when the patient is in a motion state. Acquiring heartbeat data and respiration data by measuring a patient's heartbeat and respiration by a radar sensor installed on the upper part of the medical bed;
By comparing the heart rate data and the respiration data with a set first reference heart rate intensity and a set first reference respiratory intensity by the patient state analyzer, the heart rate data is greater than or equal to the first reference heart rate intensity, and the respiration data is the first If it is greater than or equal to the reference respiratory intensity, it is determined that the patient is stationary on the medical bed to be measured, and when the heart rate data is less than the first reference heartbeat intensity or the respiration data is less than the first reference respiratory intensity, the patient Determining the state of movement that is moving on the medical bed;
detecting an object with respect to a measurement area including the medical bed using infrared rays by an infrared sensor installed on the medical bed;
Predicting the patient's fall by analyzing the position and movement direction of the object measured by the infrared sensor according to the patient's condition determined based on the measurement value of the radar sensor by the fall prediction unit Prediction method. 4. The method of claim 3,
Controlling, by the control unit, the operation of the infrared sensor according to the operation state of the patient; further comprising,
Controlling the operation of the infrared sensor comprises:
stopping the operation of the infrared sensor when the patient is in a measurement standby state; and
When the patient is in a motion state, starting the operation of the infrared sensor; Fall prediction method comprising a.

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