CN112690804A - Medical bed function testing method - Google Patents

Abstract

The invention discloses a medical bed function test system and a test method thereof, wherein the test method comprises the following steps: step 1, integrating the vibration sensing system and the noise sensing system together, detachably installing the vibration sensing system and the noise sensing system at any fixable position of a medical bed through a locking mechanism, collecting vibration and noise information of the medical bed in a static or moving process in real time, and transmitting the information to a data analysis system; step 2, the medical bed tests the actual operation of the object or carries out on-site experience in the postures of sitting, lying and the like, and the object is used as behavior data to be transmitted to a data analysis system; step 3, performing depth experience on the experience object of the medical bed, acquiring event-related potentials of the experience object through an electroencephalogram acquisition system, and transmitting the potentials to a data analysis system in real time; and 4, the data analysis system stores the data, comprehensively analyzes the acquired data based on a pre-constructed deep network data model, and further outputs evaluation data of the function indexes of the medical bed.

Description

Medical bed function testing method

Technical Field

The invention relates to a medical bed function testing system and a testing method thereof, in particular to a testing and evaluating method for the control of a medical bed, the suitability of medical bed function switching and the like, and belongs to the field of mechanical equipment research.

Background

The general population survey report shows that the 60-year-old population of China is 2.22 hundred million and accounts for 16.1 percent of the total population of China, and the aging problem is increasingly serious. The impaired proportion of old person is higher, and the life that leads to because reasons such as apoplexy, accident in addition is also many because the life can not be taken care of oneself every year, and on the other hand, because the continuation of artifical nursing expense rises, nursing cost is also at greatly increased, and multi-functional humanized nursing bed can replace artifically with the machine to a certain extent, reduces nursing intensity to furthest realizes independently nursing, improves quality of life, and reduces the nursing cost. In recent years, a humanized multifunctional medical bed has appeared, the use performance is better and better, the multifunctional medical bed can realize actions of turning over a patient left and right, standing up, sitting up, relieving the bowels and the like which need special nursing by a person in the past through remote control or even non-contact control, and compared with a common medical bed, the multifunctional medical bed has remarkable advantages, thereby greatly lightening the nursing burden of nursing staff in hospitals and families of patients, and being popular with medical institutions and families of patients.

When various medical beds fill the visual angles of markets and users, functions are more and more abundant, the operation is more and more portable, even the complete automatic operation is realized, however, the functions and experience of the novel products do not have a unified evaluation standard at present, the quality is uneven, and partial products are not good.

The invention content is as follows:

aiming at the problems in the prior art, the invention provides a system and a method for testing the suitability of a medical bed, which can realize the implementation and detection of parameters such as vibration and noise of the medical bed and can experience subjective behavior feeling, electroencephalogram related potential and the like of an object.

In order to achieve the purpose, the technical scheme of the invention is that the medical bed suitability testing method comprises a medical bed to be tested, a medical bed testing object and a medical bed testing platform;

the test method comprises the following steps:

step 1, integrating the vibration sensing system and the noise sensing system together, detachably installing the vibration sensing system and the noise sensing system at any fixable position of a medical bed through a locking mechanism, collecting vibration and noise information of the medical bed in a static or moving process in real time, and transmitting the information to a data analysis system;

step 2, the medical bed body tests actual operation of the object or carries out on-site experience in sitting, lying and other postures, and gives evaluation grades to the operation convenience performance, the proper rising and lying performance, the proper turning performance and the proper leg crouching performance of the medical bed, and the evaluation grades are transmitted to a data analysis system as behavior data;

step 3, further fixing the test conditions, performing depth experience on the medical bed test object, collecting event-related potentials of the test object through an electroencephalogram acquisition system, and transmitting the potentials to a data analysis system in real time;

and 4, the data analysis system stores the data, comprehensively analyzes the acquired data based on a pre-constructed deep network data model, and further outputs index data of the suitability of the medical bed.

As an improvement of the invention, the test platform comprises a vibration sensing system, a noise sensing system, an electroencephalogram acquisition system and a data analysis system.

The vibration sensing system and the noise sensing system are integrated together and are detachably mounted to any fixable position of the medical bed through a locking mechanism.

As an improvement of the invention, the medical bed test object refers to a person who has a healthy audio-visual touch feeling and can make a reasonable judgment, can carry out actual operation on the medical bed or carry out on-site experience in sitting, lying and other postures, and can reasonably express self feeling by words.

As an improvement of the invention, the electroencephalogram acquisition system can acquire electroencephalogram signals of the medical bed examination object in the medical bed experience process in real time and transmit the electroencephalogram signals to the data analysis system.

As an improvement of the invention, the data analysis system constructs a deep network mathematical model, and performs data fusion and data analysis on vibration, noise, experience object behavior and electroencephalogram data acquired online or offline, so as to output suitability index parameters.

As an improvement of the invention, the deep network mathematical model comprises 12 input nodes, 1 output node and 3 hidden layers.

The 12 input nodes respectively represent vibration frequency, vibration intensity, noise frequency, noise intensity, operation convenience level, proper rising and lying level, proper turning over level, proper leg crouching level, Alpha rhythm potential, Beta rhythm potential and Gamma rhythm potential;

the 1 output node represents a hospital bed fitness level;

the node numbers and parameters of the 4 hidden layers can be finally determined through repeated adjustment of learning of samples.

Compared with the prior art, the test device has the greatest advantage that the test device is a test system for comprehensively testing vibration, noise, behavior data of the experience object and event-related potential data of the experience object, and the suitability of the medical bed can be comprehensively evaluated from two aspects of subjectivity and objectivity.

Drawings

FIG. 1 is a flow chart of a method of testing a hospital bed fitness test system of the present invention;

FIG. 2 is a functional block diagram of a hospital bed fitness testing system of the present invention;

fig. 3 is a data analysis model diagram of the hospital bed suitability testing system of the present invention.

The specific implementation mode is as follows:

the method of the present invention is further described below with reference to the accompanying drawings.

Example 1: the flow of a suitability testing method of the invention is shown in fig. 1.

The test method comprises the following steps:

step 1, integrating the vibration sensing system and the noise sensing system together, detachably installing the vibration sensing system and the noise sensing system at any fixable position of a medical bed through a locking mechanism, collecting vibration and noise information of the medical bed in a static or moving process in real time, and transmitting the information to a data analysis system;

step 2, the medical bed body tests actual operation of the object or carries out on-site experience in sitting, lying and other postures, and gives evaluation grades to the operation convenience performance, the proper rising and lying performance, the proper turning performance and the proper leg crouching performance of the medical bed, and the evaluation grades are transmitted to a data analysis system as behavior data;

step 3, further fixing the test conditions, performing depth experience on the medical bed test object, collecting event-related potentials of the test object through an electroencephalogram acquisition system, and transmitting the potentials to a data analysis system in real time;

and 4, the data analysis system stores the data, comprehensively analyzes the acquired data based on a pre-constructed deep network data model, and further outputs index data of the suitability of the medical bed.

Example 2: the principle of the hospital bed suitability testing system of the invention is shown in fig. 2.

The test platform comprises a vibration sensing system, a noise sensing system, an electroencephalogram acquisition system and a data analysis system;

the vibration sensing system and the noise sensing system are integrated on a board card and are detachably arranged at any fixable position on the medical bed through a locking mechanism;

the board card is integrated with a single chip microcomputer, a filtering module, a wireless transmission module and the like, and can transmit the data such as the sensed vibration frequency, the sensed vibration intensity, the sensed noise frequency, the sensed noise intensity and the like to a data analysis system after basic filtering and format conversion;

the locking mechanism is a rigid connecting piece;

the medical bed test object refers to a person who has a healthy audio-visual touch feeling and can make a reasonable judgment, can carry out actual operation on the medical bed or carry out on-site experience in sitting, lying and other postures, and can reasonably express self feeling by language;

the electroencephalogram acquisition system can acquire electroencephalogram signals of the medical bed examination object in the medical bed experience process in real time and transmit the electroencephalogram signals to the data analysis system;

the data analysis system constructs a deep network mathematical model, performs data fusion and data analysis on vibration, noise, experience object behaviors and electroencephalogram data acquired online or offline, and further outputs suitability index parameters.

Example 3: the data analysis model of the medical bed suitability testing system is shown in figure 3.

The deep network mathematical model comprises 12 input nodes, 1 output node and 3 hidden layers;

the 12 input nodes respectively represent vibration frequency, vibration intensity, noise frequency, noise intensity, operation convenience level, proper rising and lying level, proper turning over level, proper leg crouching level, Alpha rhythm potential, Beta rhythm potential and Gamma rhythm potential;

the 1 output node represents a hospital bed fitness level;

the node numbers and parameters of the 3 hidden layers can be finally determined through repeated adjustment of learning of samples.

It should be noted that the above-mentioned embodiments are not intended to limit the scope of the present invention, and all equivalent modifications and substitutions based on the above-mentioned technical solutions are within the scope of the present invention as defined in the claims.

Claims (5)

1. A medical bed function test method is characterized in that a medical bed function test system comprises a medical bed to be tested, a medical bed test object and a medical bed test platform;

the test method comprises the following specific steps:

step 1, integrating a vibration sensing system and a noise sensing system together, detachably installing the vibration sensing system and the noise sensing system at any fixable position of a tested medical bed through a locking mechanism, collecting vibration and noise information of the medical bed in a static or moving process in real time, and transmitting the vibration and noise information to a data analysis system;

step 2, the medical bed body tests actual operation of the object or carries out on-site experience in sitting, lying and other postures, and gives evaluation grades to the operation convenience performance, the proper rising and lying performance, the proper turning performance and the proper leg crouching performance of the medical bed, and the evaluation grades are transmitted to a data analysis system as behavior data;

step 3, further fixing the test conditions, performing depth experience on the medical bed test object, collecting event-related potentials of the test object through an electroencephalogram acquisition system, and transmitting the potentials to a data analysis system in real time;

and 4, the data analysis system stores the data, comprehensively analyzes the acquired data based on a pre-constructed deep network data model, and further outputs index data of the suitability of the medical bed.

2. The method for testing the functionality of a hospital bed according to claim 1,

the medical bed test platform comprises a vibration sensing system, a noise sensing system, an electroencephalogram acquisition system and a data analysis system;

the vibration sensing system and the noise sensing system are integrated together and are detachably mounted to any fixable position of the medical bed through a locking mechanism.

3. The method for testing the function of a hospital bed as claimed in claim 2, wherein said electroencephalogram acquisition system can acquire electroencephalogram signals of the test subject of the hospital bed during the process of experiencing the hospital bed in real time and transmit the electroencephalogram signals to the data analysis system.

4. The method for testing the function of a medical bed as claimed in claim 2, wherein the data analysis system constructs a deep network mathematical model, and performs data fusion and data analysis on vibration, noise, experience object behavior and electroencephalogram data collected online or offline, thereby outputting suitability index parameters.

5. The hospital bed functional test method of claim 4, wherein the depth network mathematical model includes 12 input nodes, 1 output node, and 4 hidden layers;

the 12 input nodes respectively represent vibration frequency, vibration intensity, noise frequency, noise intensity, operation convenience level, proper rising and lying level, proper turning over level, proper leg crouching level, Alpha rhythm potential, Beta rhythm potential and Gamma rhythm potential;

the 1 output node represents a hospital bed fitness level;

the node numbers and parameters of the 3 hidden layers can be finally determined through repeated adjustment of learning of samples.

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