KR102207984B1 - Bedsore prevention mattress performance evaluation device - Google Patents

Abstract

The present invention relates to a device for evaluating performance of a bedsore prevention mattress, objectively quantifying a press degree of a bedsore prevention mattress available in markets on a user to evaluate performance of the bedsore prevention mattress. According to an embodiment of the present invention, the device for evaluating performance of a bedsore prevention mattress comprises: a body pressure measurement unit disposed on the bedsore prevention mattress and formed by a matrix of a plurality of body pressure measurement sensors; and a performance evaluation unit storing multiple body pressure data measured by the body pressure measurement sensors, calculating each of the maximum value, the minimum value, and an average value of the stored body pressure data, and evaluating performance of the bedsore prevention mattress by using the calculated maximum value, the minimum value, and the average value.

Description

Bedsore prevention mattress performance evaluation device}

The present invention relates to a bed sore prevention mattress performance evaluation apparatus capable of evaluating the performance of the bed sore prevention mattress by objectively quantifying the degree to which pressure is applied to a user by a commercially available bed sore prevention mattress.

A pressure sore is a disease that occurs when continuous pressure is applied to the protruding part of the human body (tail bone, heel, sacrum, etc.) and blood circulation is not performed smoothly. Hospitals mainly use'bedsore prevention mattresses' as measures to prevent bedsores from occurring. Anti-bed sore mattresses distribute pressure on areas of the body where strong pressure is applied and prevent constant pressure on one area.

Although there are various products in price, function, and material for bedsore prevention mattresses that are currently sold and distributed on the market, only features, components, and usage are explained, and there is an index or standard for the “level of pressure on users” of bedsore mattresses. It is difficult to compare performance by product.

Accordingly, there is a need to develop a bed sore prevention mattress performance evaluation device capable of evaluating the performance of the bed sore prevention mattress by objectively quantifying the degree of pressure on the user by the commercially available bedsore prevention mattress.

Korean Patent Registration No. 10-1975473

An object of the present invention is to provide an apparatus for evaluating the performance of an anti-bedsore mattress capable of evaluating the performance of an anti-bedsore mattress by objectively quantifying the degree to which pressure is applied to a user by a commercially available anti-bedsore mattress.

The apparatus for evaluating bedsore prevention mattress performance according to an embodiment of the present invention,

A body pressure measurement unit disposed on the bed sore prevention mattress, wherein a plurality of body pressure measurement sensors form a matrix in a matrix form; Stores a plurality of body pressure data measured by the plurality of body pressure measurement sensors, calculates a maximum value, a minimum value, and an average value for the plurality of stored body pressure data, respectively, and prevents the bathing by using the calculated maximum value, minimum value, and average value. It includes; a performance evaluation unit that evaluates the performance of the mattress.

In the performance evaluation apparatus for preventing bedsores according to an embodiment of the present invention, the performance evaluation unit comprises: a storage module for storing a plurality of body pressure data measured by the plurality of body pressure measurement sensors; A first calculation unit that performs a maximum value calculation on a plurality of body pressure data stored in the storage module, a second calculation unit that performs a minimum value calculation on the plurality of body pressure data, and an average value calculation on the plurality of body pressure data An arithmetic module including a third arithmetic unit that performs the operation; It may include; an evaluation module for evaluating the performance of the anti-bath mattress using the calculated maximum value, minimum value, and average value.

In the bed sore prevention mattress performance evaluation apparatus according to an embodiment of the present invention, the storage module frames (I ¹ , I ² , I ^{3) the} body pressure data set measured in each stimulus cycle when performing alternate levitation in the bed ulcer prevention mattress. , ..., I ⁿ ), and the calculation module stores the ROI ¹ , ROI ² , ROI to be used for calculation in each frame (I ¹ , I ² , I ³ , ..., I ⁿ ) ³ , ... ROI ⁿ ) is set, and the body pressure data in the region of interest can be coordinated.

In the apparatus for evaluating the performance of a mattress for preventing bedsores according to an embodiment of the present invention, the first operation unit extracts the largest body pressure data from among body pressure data corresponding to the same coordinate pair (x, y) in the region of interest of each frame. After that, the maximum evaluation index is extracted by dividing it by the number of coordinate pairs in the frame. The second calculation unit extracts the smallest body pressure data from the body pressure data corresponding to the same coordinate pair (x, y) in the region of interest of each frame, and then divides it by the number of coordinate pairs in the frame to extract the minimum evaluation index. do. The third operation unit adds all body pressure data corresponding to the same coordinate pair (x, y) in the region of interest of each frame, divides by the number of frames to extract an average value, and then calculates the number of coordinate pairs in the region of interest. Divide it to extract the average evaluation index.

In the performance evaluation apparatus for preventing bedsores according to an embodiment of the present invention, the evaluation module includes an evaluation table for quantifying performance evaluation, and the evaluation table evaluates the maximum value evaluation index, the minimum value evaluation index, and the average value evaluation. The index may be classified into preset intervals and an evaluation score corresponding to each interval may be included.

In the apparatus for evaluating bedsore prevention mattress performance according to an embodiment of the present invention, the evaluation table includes the maximum value evaluation index and the minimum value evaluation index when the value of the body pressure data measured by the body pressure measurement sensor is maintained for a predetermined time or longer. It may include an additional deduction item for subtracting the evaluation score by the average value evaluation index.

In the apparatus for evaluating bedsore prevention mattress performance according to an embodiment of the present invention, the evaluation module may include a rating table for calculating an overall score by summing the evaluation scores, and calculating an evaluation grade using the calculated total score. have.

Other specific details of embodiments according to various aspects of the present invention are included in the detailed description below.

According to the apparatus for evaluating the performance of a bed sore prevention mattress according to an embodiment of the present invention, the performance of the bed sore prevention mattress can be evaluated by objectively quantifying the degree to which the commercially available bed sore prevention mattress exerts pressure on the user.

1 is a perspective view showing a bed sore prevention mattress performance evaluation apparatus according to an embodiment of the present invention.
2 is an exemplary diagram illustrating an example in which a body pressure measurement process of a body pressure measuring unit according to an embodiment of the present invention is illustrated through a display.
3 is a block diagram illustrating a performance evaluation unit according to an embodiment of the present invention.
4 is an exemplary view illustrating body pressure data measured by a body pressure measuring unit according to an embodiment of the present invention.
5 is an exemplary view illustrating body pressure data of several frames measured by a body pressure measurement unit when performing alternate levitation in a bed sore prevention mattress.
6 is an exemplary view illustrating setting an ROI in the body pressure data of FIG. 5.
7 is an exemplary diagram illustrating coordinates of body pressure data in the region of interest of FIG. 6.
8 to 10 are exemplary diagrams for visualizing and showing an operation result in an operation module according to an embodiment of the present invention. FIG. 8 is a maximum value operation result, FIG. 9 is a minimum value operation result, and FIG. 10 is an average value operation result. It is an exemplary diagram showing by visualizing.
11 and 12 are views showing a bed sore prevention mattress distributed on the market.

The present invention is intended to illustrate specific embodiments and to be described in detail in the detailed description, since various transformations can be applied and various embodiments can be provided. However, this is not intended to limit the present invention to a specific embodiment, it is to be understood to include all conversions, equivalents, and substitutes included in the spirit and scope of the present invention.

The terms used in the present invention are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present invention, terms such as'comprise' or'have' are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance. Hereinafter, an apparatus for evaluating bedsore prevention mattress performance according to an embodiment of the present invention will be described with reference to the drawings.

1 is a perspective view showing a bed sore prevention mattress performance evaluation apparatus according to an embodiment of the present invention.

As shown in Figure 1, the bed sore prevention mattress performance evaluation device according to an embodiment of the present invention (hereinafter referred to as "performance evaluation device") includes a body pressure measurement unit 100 and a performance evaluation unit 200 do.

The body pressure measurement unit 100 is disposed between a human body or a virtual human body M2 (for example, a mannequin) and a bed sore prevention mattress M1, and a plurality of body pressure measurement sensors S form a matrix in the form of a matrix. Is formed. The body pressure measurement sensor S may be an FSR sensor, and a plurality of force sensitive resistor (FSR) sensors are arranged in a matrix form to constitute the body pressure measurement unit 100.

Although not shown, the body pressure measurement unit 100 includes a cover surrounding the plurality of body pressure measurement sensors S. The material of the cover is not subject to any restrictions, but it is preferable to be a flexible material so that the human body does not feel uncomfortable when lying on the body pressure measurement unit 100.

The bed sore prevention mattress M1 may be an alternate floating mattress. The alternate floating mattress may include a plurality of mutually partitioned air pads, and may include a floating channel that is an independent air flow path to independently supply or discharge air to each air pad. The alternating flotation mattress has n flotation channels that can be alternately supported. An air pump for supplying air to each of the floating channels of the alternate floating mattress may be provided. Of course, in addition to air, other materials such as water may be supplied, which is obvious to those skilled in the art. Each air pad of the alternating float mattress can be lifted or submerged at regular intervals of time, and this cycle is called a flotation cycle.

FIG. 2 is an exemplary diagram illustrating an example in which a body pressure measurement process of the body pressure measurement unit 100 according to an embodiment of the present invention is illustrated through a display 240 to be described later. The display 240 is a component of the performance evaluation unit 200 to be described later, and displays a series of processes performed by the performance evaluation unit 200. The display 240 displays the start and end of the body pressure measurement process of the body pressure measurement unit 100, visualizes the measured body pressure data, and informs the user by displaying information related to the body pressure data.

3 is a block diagram illustrating a performance evaluation unit according to an embodiment of the present invention.

The performance evaluation unit 200 evaluates the performance of the anti-bath mattress M1 by using a plurality of body pressure data measured by a plurality of body pressure measurement sensors S. More specifically, the performance evaluation unit 200 stores a plurality of body pressure data measured by a plurality of body pressure measurement sensors S, calculates a maximum value, a minimum value, and an average value for the stored plurality of body pressure data, respectively, and the calculated The performance of the anti-bath mattress (M1) is evaluated using the maximum, minimum, and average values.

To this end, as shown in FIG. 3, the performance evaluation unit 200 includes a storage module 210, an operation module 220, an evaluation module 230, and a display 240.

The display 240 displays the start and end of the body pressure measurement process of the body pressure measurement unit 100, visualizes the measured body pressure data, and informs the user by displaying information related to the body pressure data. In addition, the display 240 visualizes the evaluation process and the evaluation result of the performance evaluation unit 200 to inform the user.

The storage module 210 stores a plurality of body pressure data measured by a plurality of body pressure measurement sensors S. The body pressure of each body part changes according to the support cycle in the alternate floating mattress. The storage module 210 stores body pressure data for each body part that changes according to the care cycle measured by the plurality of body pressure measurement sensors S.

The storage module 210 processes and stores the body pressure data set measured in the nth support cycle as the nth frame, and processes the body pressure data set measured in the (n+1)th support cycle as the (n+1)th frame. And save it. That is, the body pressure data set measured in each support cycle is stored for each frame.

4 is an exemplary diagram illustrating body pressure data measured by the body pressure measurement unit 100, and FIG. 5 is a body pressure data of several frames measured by the body pressure measurement unit 100 when performing alternate stimulus in a bed sore prevention mattress. It is an illustrated example diagram. Storage module 210 is a 4 n storage processes the body pressure data set measured at the second floating period to the n-th frame as shown, the body pressure data set measured at each stimulus cycle frame (I ^1, as shown in Figure 5, and I ² , I ³ , ..., I ⁿ ).

The calculation module 220 performs a maximum value, a minimum value, and an average value calculation on a plurality of body pressure data stored as frames (I ¹ , I ² , I ³ , ..., I ⁿ ) in the storage module 210 to evaluate performance. Provides figures for The calculation module 220 sets a region of interest (ROI) to be used for calculation in each frame (I ¹ , I ² , I ³ , ..., I ⁿ ). The region of interest (ROI) is an area in which the user's body mainly contacts the plurality of body pressure measurement sensors S constituting the body pressure measurement unit 100, and may be a part of the human body where a bone protrudes (tail bone, heel, sacrum, etc.) have. 6 is an exemplary view illustrating setting an ROI in the body pressure data of FIG. 5. In FIG. 6, it is illustrated that the head of the human body is set as an ROI ¹ , ROI ² , ROI ³ , ... ROI ⁿ .

The calculation module 220 coordinates the body pressure data in the ROI ¹ , ROI ² , ROI ³ , ... ROI ⁿ .

7 is an exemplary diagram illustrating coordinates of body pressure data in the region of interest of FIG. 6. With the horizontal direction of the region of interest as the x-axis and the vertical direction as the y-axis, elements are expressed for each of the body pressure data and quantified. In the element expression ROI ⁿ _(x,y) , the superscript n is the frame number, and the subscript (x, y) is the coordinate information in the frame. The calculation module 220 performs calculation of a maximum value, a minimum value, and an average value using a numerical element expression (hereinafter, also referred to as numerical data). The calculation module 220 includes a first calculation unit 221, a second calculation unit 222, and a third calculation unit 223, and each of the calculation units 221 to 223 uses numerical data. Calculate the maximum, minimum, and average values.

The first calculation unit 221 performs a maximum value calculation using numerical data for each frame (I ¹ , I ² , I ³ , ..., I ⁿ ). The first calculation unit 221 extracts only the maximum value from the numerical data in the ROI ¹ , ROI ² , ROI ³ , ... ROI ⁿ , and averages it to perform a maximum value operation. It is shown in Equation 1 below, which mathematically represents.

Equation 1:

Here, the superscript n is the number of frames, and the subscripts (x, y) mean body pressure data at the corresponding coordinates in the frame.

)하여 하나의 결과값(최대값 평가지수)을 추출한다. 상기의 예에서, 100개의 결과값을 합한 후, 100으로 나누어 하나의 최대값 평가지수를 추출한다. _max ROI ⁿ _(x,y) refers to the largest body pressure data among body pressure data corresponding to the same (x, y) coordinate pair among several frames. Therefore, the result value of _max ROI ⁿ _(x,y) is equal to the number of (x, y) in the frame. For example, if there are 100 coordinate pairs (x, y) in the region of interest _, the resulting value of _max ROI ⁿ _{(x, y)} is 100. That is, one value is extracted for each coordinate pair. Next, the average according to Equation 1 is performed on the result of _max ROI ⁿ _(x,y) extracted for performance evaluation (

) To extract one result value (maximum value evaluation index). In the above example, after summing 100 results, dividing by 100 to extract one maximum value evaluation index.

8 is a visual representation of the result of performing the maximum value operation _max ROI ⁿ _(x,y) and is displayed through the display 240. In the figure, max_I ⁿ at the far right is visualized by selecting only the largest body pressure data among n frames, and then superimposing them.

In a similar manner, the second operation unit 222 performs a minimum value operation using numerical data for each frame (I ¹ , I ² , I ³ , ..., I ⁿ ). The second calculation unit 222 extracts only the minimum value from the numerical data in the ROI ¹ , ROI ² , ROI ³ , ... ROI ⁿ , and averages it to perform a maximum value operation. It is shown in Equation 2 below, which is expressed mathematically.

Equation 2:

)하여 하나의 결과값(최소값 평가지수)을 추출한다. 상기의 예에서, 100개의 결과값을 합한 후, 100으로 나누어 하나의 최소값 평가지수를 추출한다. _min ROI ⁿ _(x,y) refers to the smallest body pressure data among body pressure data corresponding to the same (x, y) coordinate pair among several frames. Therefore, the result value of _min ROI ⁿ _(x,y) is equal to the number of (x, y) in the frame. For example, if there are 100 coordinate pairs (x, y) in the region of interest _, the resulting value of _min ROI ⁿ _{(x, y)} is 100. That is, one value is extracted for each coordinate pair. Next, the average according to Equation 2 is performed on the result of _min ROI ⁿ _(x,y) extracted for performance evaluation (

) To extract one result value (minimum evaluation index). In the above example, after summing 100 result values, dividing by 100 to extract one minimum evaluation index.

9 is a visual representation of the result of performing a minimum value operation ( _min ROI ⁿ _(x,y) ) and is displayed through the display 240. In the drawing, min_I ⁿ at the far right is visualized by selecting only the smallest body pressure data among n frames, and overlapping them.

In a similar manner, the third operation unit 223 performs an average value operation using numerical data for each frame (I ¹ , I ² , I ³ , ..., I ⁿ ). The third operation unit 223 sums all the numerical data of the same coordinate pair (x, y) in the region of interest (ROI ¹ , ROI ² , ROI ³ , ... ROI ⁿ ) and divides it by the number of frames to obtain the average value. Extract. It is shown in Equation 3 below, which mathematically represents.

Equation 3:

)하여 하나의 결과값(평균값 평가지수)을 추출한다. 상기의 예에서, 100개의 결과값을 합한 후, 100으로 나누어 하나의 평균값 평가지수를 추출한다. _mean ROI ⁿ _(x,y) refers to the average value extracted by summing all numerical data of the same coordinate pair (x, y) among several frames and dividing by the number of frames. Therefore, the result value of _mean ROI ⁿ _(x,y) is equal to the number of (x, y) in the frame. For example, if there are 100 coordinate pairs (x, y) in the ROI _, the resulting value of _mean ROI ⁿ _{(x, y)} is 100. That is, one value is extracted for each coordinate pair. Next, the average according to Equation 3 is performed on the extracted _mean ROI ⁿ _(x,y) for performance evaluation (

) To extract one result value (average value evaluation index). In the above example, after summing 100 result values, dividing by 100 to extract one average value evaluation index.

FIG. 10 is a visual representation of a result of performing an average value operation ( _mean ROI ⁿ _(x,y) ) and is displayed through the display 240. In the figure, mean_I ⁿ at the far right is a visualization of body pressure data calculated by averaging n frames.

As a result of the calculation of the calculation module 220, a total of three result values (maximum value evaluation index, minimum value evaluation index, average value evaluation index) are extracted, and the evaluation module 230 uses these evaluation indices. Evaluate performance.

The evaluation module 230 has an evaluation table for quantifying the performance evaluation. The evaluation table classifies three result values (evaluation index: maximum value, minimum value, and average value) into preset intervals, and includes evaluation scores corresponding to each classification. The evaluation table may be prepared by repeatedly testing various types of bedsore prevention mattresses on the market and quantifying it based on the user's satisfaction, or by virtually simulating and quantifying it with a computing means. For example, the evaluation table may be provided as shown in Table 1 below. Of course, [Table 1] is an example and the evaluation table is not necessarily limited thereto.

Evaluation Index (Unit: N/cm ² ) Additional penalty Evaluation score (additional deductions) 0 to less than 0.1 -10 100 (90) 0.1 to less than 0.15 -20 90 (70) 0.15 ~ less than 0.3 -30 80 (50) 0.3 to less than 0.4 -40 70 (30) 0.4 or more -50 60 (10)

In addition to converting the evaluation index extracted by the calculation module 220 into an evaluation score, the evaluation table may further include an “additional deduction” item. If the value of the body pressure data measured by the body pressure measurement sensor S is maintained for more than a preset time, the evaluation score by the corresponding evaluation index is deducted. This is to reflect that the body pressure data in the same region of interest should fluctuate with the elapse of the support cycle (air circulation cycle), and if the body pressure data does not change for a certain period of time, the performance of the bed sore prevention mattress does not comply. For example, the support period may be 3 minutes and 30 seconds, and the preset time may be 30 minutes.

The evaluation table may be provided to have different numerical values for each of the calculation units 221 to 223. For convenience of explanation, the present specification exemplifies that the evaluation table of [Table 1] is applied to all evaluation indices (maximum evaluation index, minimum evaluation index, average evaluation index).

The evaluation module 230 calculates a composite score by summing the evaluation scores derived using the evaluation table of [Table 1] for all evaluation indices (maximum evaluation index, minimum evaluation index, average evaluation index).

In addition, the evaluation module 230 includes a grade table for calculating an evaluation grade using the calculated total score. The grade table may be prepared as shown in [Table 2] below. Of course, [Table 2] is an example and the rating table is not necessarily limited thereto.

Composite score rank 250 to 300 A 220 to less than 250 B 200 to less than 220 C 150 to less than 200 D Less than 150 F

Next, an example of evaluating the performance of a bed sore prevention mattress distributed on the market will be described with an apparatus for evaluating the performance of a bed sore prevention mattress according to an embodiment of the present invention.

11 is a bed sore prevention mattress distributed in the market, the product name is "AD-3 TPU BEAM". The body pressure measurement unit 100 is placed on the product, and a body of a certain weight or a mannequin corresponding thereto is laid on the body pressure measurement unit 100 to measure body pressure data, and then the calculation module ( 220), the following evaluation index was extracted.

Maximum evaluation index: 0.39

Minimum evaluation index: 0.06

Average value evaluation index: 0.22

The evaluation module 230 derives the following evaluation scores by applying the evaluation table of [Table 1].

Evaluation score 1 (maximum evaluation index): 70

Evaluation score 2 (minimum evaluation index): 100

Evaluation score 3 (average evaluation index): 80

The evaluation module 230 calculated the evaluation grade “A” by applying the grade table in [Table 2].

12 is a commercially distributed mattress for preventing bedsores, and the product name is “YB-1104A”. The body pressure measurement unit 100 is placed on the product, and a body of a certain weight or a mannequin corresponding thereto is laid on the body pressure measurement unit 100 to measure body pressure data, and then the calculation module ( 220), the following evaluation index was extracted.

Maximum evaluation index: 0.37

Minimum evaluation index: 0.1

Average evaluation index: 0.27

The evaluation module 230 derives the following evaluation scores by applying the evaluation table of [Table 1].

Evaluation score 1 (maximum evaluation index): 70

Evaluation score 2 (minimum evaluation index): 90

Evaluation score 3 (average evaluation index): 80

The evaluation module 230 calculated the evaluation grade “B” by applying the grade table in [Table 2].

According to the apparatus for evaluating the performance of the bedsore preventing mattress according to the embodiment of the present invention as described above, the performance of the bedsore preventing mattress can be evaluated by objectively quantifying the degree to which pressure is applied to the user by the bedsore preventing mattress distributed on the market.

As described above, one embodiment of the present invention has been described, but those of ordinary skill in the relevant technical field add, change, delete or add components within the scope not departing from the spirit of the present invention described in the claims. Various modifications and changes can be made to the present invention by means of the like, and it will be said that this is also included within the scope of the present invention.

100: body pressure measurement unit 200: performance evaluation unit
210: storage module 220: calculation module
230: evaluation module 240: display
M1: Anti-bath mattress M2: Human body or mannequin
S: Body pressure measurement sensor

Claims (7)

A body pressure measurement unit disposed on the bed sore prevention mattress, wherein a plurality of body pressure measurement sensors form a matrix in a matrix form;
Stores a plurality of body pressure data measured by the plurality of body pressure measurement sensors, calculates a maximum value, a minimum value, and an average value for the plurality of stored body pressure data, respectively, and prevents the bedsores by using the calculated maximum value, minimum value, and average value. Includes; a performance evaluation unit for evaluating the performance of the mattress,
The performance evaluation unit,
A storage module for storing a plurality of body pressure data measured by the plurality of body pressure measurement sensors;
A first calculation unit that performs a maximum value calculation on a plurality of body pressure data stored in the storage module, a second calculation unit that performs a minimum value calculation on the plurality of body pressure data, and an average value calculation on the plurality of body pressure data An arithmetic module including a third arithmetic unit that performs the operation;
Including; an evaluation module for evaluating the performance of the bedsore preventing mattress using the calculated maximum value, minimum value, and average value,
The storage module stores body pressure data sets measured in each support cycle for each frame (I1, I2, I3, ..., In) when performing alternate support in the bedsore prevention mattress,
The calculation module sets the region of interest (ROI1, ROI2, ROI3, ... ROIn) to be used for calculation in each frame (I1, I2, I3, ..., In), and coordinates body pressure data within the region of interest. Make up,
The first calculation unit extracts the largest body pressure data from the body pressure data corresponding to the same coordinate pair (x, y) in the region of interest of each frame, and then divides it by the number of coordinate pairs in the frame to obtain a maximum evaluation index. Extract,
The second calculation unit extracts the smallest body pressure data from the body pressure data corresponding to the same coordinate pair (x, y) in the region of interest of each frame, and then divides it by the number of coordinate pairs in the frame to extract the minimum evaluation index. and,
The third operation unit adds all body pressure data corresponding to the same coordinate pair (x, y) in the region of interest of each frame, divides by the number of frames to extract an average value, and then calculates the number of coordinate pairs in the region of interest. Divide to extract the average value evaluation index,
The evaluation module includes an evaluation table for quantifying performance evaluation, and the evaluation table classifies the maximum value evaluation index, the minimum value evaluation index, and the average value evaluation index into preset intervals, and an evaluation score corresponding to each interval. Include
Bed sore prevention mattress performance evaluation device, characterized in that.
delete delete delete delete The method according to claim 1,
The evaluation table includes an additional deduction item for subtracting an evaluation score based on the maximum value evaluation index, the minimum value evaluation index, and the average value evaluation index when the value of the body pressure data measured by the body pressure measurement sensor is maintained for more than a preset time. Bed sore prevention mattress performance evaluation device, characterized in that.
The method according to claim 1,
The evaluation module includes a grade table for calculating an overall score by summing the evaluation scores, and calculating an evaluation grade using the calculated total score.

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