CN114813183A - Mattress comfort evaluation system, evaluation method and mattress optimization method - Google Patents
Mattress comfort evaluation system, evaluation method and mattress optimization method Download PDFInfo
- Publication number
- CN114813183A CN114813183A CN202210370803.0A CN202210370803A CN114813183A CN 114813183 A CN114813183 A CN 114813183A CN 202210370803 A CN202210370803 A CN 202210370803A CN 114813183 A CN114813183 A CN 114813183A
- Authority
- CN
- China
- Prior art keywords
- comfort
- mattress
- change rate
- characteristic point
- point change
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/001—Testing of furniture, e.g. seats or mattresses
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Pulmonology (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention relates to the technical field of mattress design, in particular to a mattress comfort evaluation system, an evaluation method and a mattress optimization method. The comfort judgment of the mattress usually depends on the subjective feeling of a user or a simple physical index, and the comfort of the mattress cannot be objectively evaluated by the evaluation mode, so that the reliability is not high. According to the invention, a comfort standard curve is obtained by establishing a relation model of the change rate of a body curve at characteristic points and the sleep quality and fitting according to boundary conditions of the sleep quality, so that the comfort standard curve is used as a judgment standard for evaluating the comfort of the mattress, and the evaluation system and the evaluation method are formed by combining software and hardware, and meanwhile, the evaluation system can be used for recommending customized mattresses for customers. The method meets the complete coverage range, is representative, and has ideal evaluation effect.
Description
Technical Field
The invention relates to the technical field of mattress design and evaluation, in particular to a mattress comfort evaluation system, an evaluation method and a mattress optimization method.
Background
The mattress is a necessary article for sleeping, the comfort degree of the mattress greatly influences the rest quality of people, and the comfortable mattress can well relax the muscles of the waist, the back and the hip of people. Investigations have shown that a considerable part of the sleep problems is related to the comfort of the mattress.
Mattresses are available in the market in many types, including box spring mattresses, latex mattresses, palm mattresses and gel mattresses, some of which also have an adjustable function. However, the comfort judgment of the mattress usually depends on the subjective feeling of the user, and the comfort of the mattress cannot be objectively evaluated by the evaluation method, so that the reliability of the comfort evaluation of the mattress product is not high.
In the prior art, a method for evaluating the comfort of the mattress by using body pressure distribution indexes is also provided, and the calculation and selection modes of the body pressure distribution indexes are different, so that a published patent CN106092635A discloses a method for evaluating the pressure comfort of the mattress. The method includes that a testee lies on a tested mattress, a body pressure tester is used for testing body pressure distribution, obtained body pressure data are subjected to mathematical processing to obtain body pressure distribution indexes which may be different and comprise maximum pressure, average pressure, maximum pressure gradient, average pressure gradient and the like, comfort is evaluated through the indexes, and the method can help people to select a mattress more suitable for the testee, improve sleep quality and solve the problem of poor sleep quality caused by discomfort of the mattress. When the existing method is used for evaluating the comfort of the mattress by using body pressure distribution indexes, parameters such as pressure, pressure intensity and the like are collected in different areas for comparison, the consistency of an evaluation result and the actual feeling of a user is limited, and the reliability is not very high.
The changes in the body after sleep are the largest and the most studied are the changes of the brain electricity. In a state where a person is awake during the day, the most common brain waves from a normal electroencephalogram are alpha (α alpha) and beta (β beta) waves, and when a person is drowsy, theta (θ theta) waves occur. The general trend of changes in brain electricity after falling asleep is that the frequency becomes slow and the amplitude increases. The sleep process of a human is divided into different stages, which are mainly divided into an R & K staging standard and an AASM staging standard. The waveform characteristics of human physiological signals such as electroencephalogram, electrooculogram and myoelectricity collected by PSG are analyzed, and the staging standard is generally applied to sleep research. With scientific progress and rapid development of medical research, the american society for sleep (AASM) introduced the AASM standard in 2007, which divided the sleep process into five stages and uniformly divided the NREM iii and IV stages in the R & K standard into iii stages, wherein the NREM i stage and NREM ii stage belong to a light sleep stage and the NREM iii stage belongs to a deep sleep stage.
Disclosure of Invention
Aiming at the problems in the background art, the invention provides a mattress comfort evaluation system, an evaluation method and a mattress optimization method, wherein a relational model of the change rate of a body curve at characteristic points and the sleep quality is established, a comfort standard curve is obtained according to the boundary condition fitting of the sleep quality, and the comfort standard curve is used as a judgment standard for evaluating the mattress comfort.
Different mattresses cause different changes in lateral curvature of the spine in the lateral position, and the most ideal mattress should be able to maintain the natural shape of the spine. At the moment, the mattress is matched with the shape of a human body, so that each part of the human body can be well supported, the curve of the spine is kept to be close to a natural state, namely a horizontal linear state, and the muscle can be well relaxed.
The invention provides a mattress comfort evaluation method, which is applied to electronic equipment, wherein a comfort model is pre-established by the method, and the method comprises the following steps:
s1, measuring, calculating and drawing a characteristic point change rate curve
S1.1, measuring the coordinate system positions of characteristic points of a plurality of tested persons in a standing posture, wherein the characteristic points are distributed on a spine curve and one-side lower limb limbs;
s1.2, arranging the tested person to lie on the side on mattresses of different brands and different types according to the specified posture, and measuring the position of a feature point coordinate system under the same coordinate system;
s1.3, calculating the change rate of the characteristic points of each tested person along the direction vertical to the plane of the mattress;
s1.4, drawing a characteristic point change rate curve;
s2, analyzing the sleep physiological parameters
S2.1, adopting the mattress in the step S1.2 in a living environment, arranging the tested person to test sleep for a plurality of days, and monitoring physiological parameters of the tested person including sleep electroencephalogram;
s2.2, judging a deep sleep period and a light sleep period according to the signal characteristics of the sleep electroencephalogram, and recording the time length alpha of the deep sleep period and the time length beta of the light sleep period;
s2.3, calculating a time length proportion gamma:
γ＝α/β；
s3, fitting the characteristic point change rate curve to obtain a comfort model
S3.1, screening out a duration proportion gamma which is greater than or equal to the preset duration proportion theta based on the preset duration proportion theta;
s3.2, carrying out mathematical fitting on the characteristic point change rate curve associated with the screened duration proportion gamma to obtain a comfort standard curve;
the method is used for evaluating the comfort of a user using the mattress based on a comfort standard curve in a comfort model, and comprises the following steps:
s4, collecting and drawing a characteristic point change rate curve of the user on the tested mattress according to the process of the step S1;
and S5, if the characteristic point change rate curve is in the envelope range of the comfort standard curve, meeting the comfort requirement, otherwise, not meeting the requirement, and for the unsatisfied condition, the characteristic point change rate curve closest to the comfort standard curve has the highest relative comfort of the mattress corresponding to the characteristic point change rate curve.
Advantageously, in step S1.1, a human motion capture system is used to record the spatial position changes of different physiological parts of the human body in different states by setting marker points on the feature points.
Advantageously, the prescribed posture in step S1.2 requires the body to be on one side and the whole body to lie straight, with the eyes looking to the left, with the hands crossed directly in front of the body and the feet closed.
Advantageously, the origin of the coordinate system is set at the achilles tendon position.
Advantageously, the preset duration ratio θ in step S3.1 is determined from clinical experience and may be adjusted gracefully according to user feedback.
Advantageously, the monitored physiological parameters further comprise one or more of eye movement, muscle electricity, electrocardiogram, oronasal airflow, snore, CPAP or Bi-PAP pressure, chest movement, abdominal movement, leg movement, body position, blood oxygen, pulse rate, pulse waveform and blood oxygen status, and the deep sleep period and the light sleep period are judged by multiple indexes.
On the other hand, the invention also provides a mattress comfort evaluation system, which comprises a characteristic point change rate curve drawing module, a sleep physiological parameter analysis module, a comfort model establishing module and a comfort evaluation module, wherein the characteristic point change rate curve drawing module, the sleep physiological parameter analysis module, the comfort model establishing module and the comfort evaluation module are arranged in the mattress comfort evaluation system
The characteristic point change rate curve drawing module measures the positions of a characteristic point coordinate system of a plurality of tested persons in a standing posture, and the characteristic points are distributed on a spine curve and single-side lower limb limbs; the tested person lies on the side on mattresses of different brands and different types according to the specified posture, and the characteristic point change rate curve drawing module measures the position of the characteristic point coordinate system under the same coordinate system; calculating the change rate of the characteristic points of each tested person along the direction vertical to the plane of the mattress; drawing a characteristic point change rate curve based on the change rate value;
the sleep physiological parameter analysis module adopts the same batch of mattresses participating in the test in a living environment, and monitors the physiological parameters of the tested person including sleep electroencephalogram when the tested person sleeps in a test for multiple days; judging a deep sleep period and a light sleep period according to the signal characteristics of the sleep electroencephalogram, and recording the time length alpha of the deep sleep period and the time length beta of the light sleep period; calculating a time length proportion gamma:
γ＝α/β；
the comfort model building module screens out a time length proportion gamma which is greater than or equal to a preset time length proportion theta on the basis of the preset time length proportion theta; carrying out mathematical fitting on the characteristic point change rate curve associated with the screened duration proportion gamma to obtain a comfort standard curve;
the comfort evaluation module receives the characteristic point change rate curve obtained by the characteristic point change rate curve drawing module aiming at the user and the tested mattress, and judges whether the characteristic point change rate curve is in the envelope range of the comfort standard curve, if so, the comfort requirement is met, otherwise, the characteristic point change rate curve is not met, and for the situation of not meeting the requirement, the characteristic point change rate curve closest to the comfort standard curve has the highest relative comfort of the mattress corresponding to the characteristic point change rate curve.
Advantageously, the characteristic point change rate curve drawing module adopts a human body motion capture system, and records the spatial position changes of different physiological parts of the human body in different states in a mode of setting mark points on the characteristic points.
Advantageously, the prescribed posture requires the body to be on one side and the whole body to lie straight, with the eyes looking to the left, horizontal, and the hands crossed directly in front of the body; the feet are closed.
Advantageously, the origin of the coordinate system is arranged at the achilles tendon position.
Advantageously, the preset duration ratio θ is determined from clinical experience and may be gracefully adjusted according to user feedback.
Advantageously, the physiological parameters monitored by the sleep physiological parameter analysis module further comprise one or more of eye movement, myoelectricity, electrocardio, mouth and nose airflow, snore, CPAP or Bi-PAP pressure, chest movement, abdomen movement, leg movement, body position, blood oxygen, pulse rate, pulse waveform and blood oxygen state, and the deep sleep period and the light sleep period are judged through multiple indexes.
In another aspect, the invention further provides a mattress optimization method, which utilizes the mattress comfort evaluation system to draw and evaluate the characteristic point change rate curves of the user on various mattresses, and selects a mattress with the characteristic point change rate curve within the comfort standard curve envelope range as an optimized mattress.
Has the advantages that: the invention can scientifically evaluate the comfort of the mattress, samples the tested person reaching a certain scale, the range of the tested person relates to each age bracket, the weight span is large, no sleep disorder and limb diseases exist, the coordinate system positions of the characteristic points under the standing posture and the side lying posture are obtained, the characteristic point change rate curve is obtained through calculation and drawing, and each tested person can obtain one characteristic point change rate curve on each mattress, so that a large number of samples can be obtained through a series of orthogonal tests, the complete coverage range is met, and the characteristics are representative.
According to research, the sleep physiological parameters reflect the sleep state to a great extent, and the comfort of the mattress has great influence on the sleep quality, the invention innovatively associates the sleep physiological parameters with the characteristic point change rate curve, screens out the characteristic point change rate curve reflecting the relatively high sleep quality according to a reasonable set time length proportion, and fits to obtain a comfort standard curve in a comfort model, and a large number of experiments prove that the evaluation method has a relatively ideal evaluation effect.
Because the physical characteristics of each user are different and the characteristic point change rate curves reflected on different mattresses are different, the mattress most suitable for the user is screened out according to the comfort model of the evaluation system, the customized effect is achieved, the sleeping comfort of the user is improved, and after the user wakes up, the body is stretched, the body is relaxed, and the mental state is good.
Drawings
FIG. 1 is a schematic diagram of a feature point distribution;
FIG. 2 is a schematic diagram of the measurement of the feature point coordinate system in a standing state;
FIG. 3 is a schematic view of a lateral lying position during a test;
FIG. 4 is a characteristic curve of a test of lying of a tested person on different mattresses;
FIG. 5 is a functional diagram of a feature point rate of change curve rendering module;
FIG. 6 is a functional diagram of a sleep physiological parameter analysis module;
FIG. 7 is a functional diagram of a comfort model building module;
FIG. 8 is a functional diagram of a comfort evaluation module;
FIG. 9 is an overall flow chart of the evaluation method of the present invention;
FIG. 10 is a graph of test results for certain embodiments.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
The layout of the mark points for representing the curvature of the spine and the shape of the lower limb is shown in fig. 1, wherein the total number of the curvature of the spine feature points is 13, see the mark points with the numbers of 1 to 13, the number 1 is the occipital fossa feature point, the number 3 is the seventh cervical spinous process feature point, the number 6 is the scapula feature point, the number 11 is the navel feature point, the number 13 is the caudal vertebra feature point, and the other feature points are transition feature points.
13 lower limb shape mark points are shown as mark points with the numbers from 13 to 25, the number 13 is a caudal vertebra feature point, the number 15 is a hip feature point, the number 20 is a knee feature point, the number 25 is an achilles tendon feature point, and other feature points are transition feature points.
In one embodiment, in order to avoid the influence caused by errors and to more intuitively and quantitatively analyze the bearing effect of different mattresses on the lateral lying human spine and the change condition causing the lateral curvature of the spine, main spine morphological characteristic mark points (11 characteristic points from the seventh cervical vertebra spinous process characteristic point with the number 3 to the caudal vertebra characteristic point with the number 13) are selected as research objects.
The marking points are adhered to the characteristic points of the central lines of the trunk and the limbs, and the marking points are distributed at key characteristic parts according to the physiological bending characteristics of the spine and the appearance characteristics of the human body.
Fig. 2 shows the measurement state of the characteristic point coordinate system in the standing state, and before the test starts, the tested person wears the suit to determine that the tested person is healthy and does not have cervical spondylosis within half a year. In the standing state, Marker mark points are pasted at the characteristic point positions of the head, the neck, the back and the lower limbs of a tested person, in order to standardize the standing standard, the tested person stands for 5 seconds by taking the hip or the shoulder to lean on a human body measuring column as the standard, and after the stability is kept, the motion capture test is started.
In fig. 3, in an embodiment, when the tested person lies on the mattress in a specified posture, the plane of a certain mark point (where the achilles tendon point is selected) is used as a reference plane, and the evaluation result is subjected to comparative analysis. In fig. 4, the positions of the characteristic point coordinate systems of a certain tested person on different mattresses are connected, and different mattresses have certain difference in support for different regions of the human body. The difference means that indexes such as maximum pressure, average pressure, maximum pressure gradient, average pressure gradient and the like are different, and currently, no unified knowledge is provided for the indexes which have the greatest influence on sleep.
The sleep detection instrument evaluated in one example is a Conduidi mobile polysomnography (Commedetics Somt PSG) system that can monitor 44 channels of polysomnography, including: 8 lead brain electricity, 2 lead eye movement, 2 lead muscle electricity, 1 lead heart electricity, 2 lead mouth nose airflow (thermal sensitive and differential pressure type), 1 lead snore, 1 lead CPAP or Bi-PAP pressure, 1 lead chest movement, 1 lead abdomen movement, 2 lead leg movement, 1 lead body position, 1 lead blood oxygen, 1 lead pulse rate, 1 lead pulse wave shape and blood oxygen state. Meanwhile, the PSG software matched with the test data can collect original waveform data of the tested person in a sleep period, and the waveform data is analyzed to obtain sleep stage data, heart rate data, body movement data and blood oxygen data of the tested person. The characteristics of each sleep period are shown in table 1.
TABLE 1 sleep staging characteristics
As shown in fig. 5, the characteristic point change rate curve drawing module of the present invention includes a hardware portion and a software portion, and mainly includes a standing measurement unit, a lying measurement unit, a characteristic point change rate calculation unit, and a characteristic point change rate drawing unit according to functional division. The standing measurement unit is used for measuring the positions of the characteristic point coordinate systems of a plurality of tested persons in standing postures; the characteristic point coordinate system position of the tested person lying on the side on the mattresses of different brands and different types according to the specified posture is measured by the lying-on measuring unit; the characteristic point change rate calculation unit calculates the change rate of the characteristic point of each tested person along the direction vertical to the plane of the mattress; the characteristic point change rate drawing unit draws a characteristic point change rate curve based on the change rate value. The devices used for the measurement are not limited to those mentioned in the present invention, and all devices capable of performing the same function are within the scope of the present invention.
As shown in fig. 6, the sleep physiological parameter analysis module of the present invention includes a hardware portion and a software portion, and mainly includes a physiological parameter acquisition unit, a sleep state determination unit, a sleep duration recording unit, and a duration ratio calculation unit according to functional division. The physiological parameter acquisition unit adopts the same batch of mattresses participating in the test in a living environment, and monitors the physiological parameters of the tested person including sleep electroencephalogram when the tested person sleeps in a test for multiple days; the sleep state judging unit judges a deep sleep period and a light sleep period according to the signal characteristics of the sleep electroencephalogram; the sleep duration recording unit records the duration alpha of a deep sleep period and the duration beta of a light sleep period; the duration proportion calculation unit calculates a duration proportion γ.
As shown in fig. 7, the comfort model building module mainly includes a duration proportion screening unit, a feature point change rate curve screening unit, and a fitting unit. The time length proportion screening unit screens out a time length proportion gamma which is greater than or equal to a preset time length proportion theta on the basis of the preset time length proportion theta; the characteristic point change rate curve screening unit screens the characteristic point change rate curve associated with the screened duration proportion gamma; and the fitting unit performs mathematical fitting on the screened characteristic point change rate curve to obtain a comfort standard curve.
As shown in fig. 8, the comfort evaluation module mainly includes a receiving unit and a determining unit. The receiving unit receives the characteristic point change rate curve obtained by the characteristic point change rate curve drawing module aiming at the user and the tested mattress, the judging unit judges whether the characteristic point change rate curve is in the envelope range of the comfort standard curve, if so, the comfort requirement is met, otherwise, the characteristic point change rate curve is not met, and for the situation of unsatisfied condition, the characteristic point change rate curve closest to the comfort standard curve has the highest relative comfort degree with the corresponding mattress.
Fig. 9 shows a flow chart of an evaluation method, which shows a comfort model building phase in the first phase and a comfort evaluation phase in the second phase on the basis of the comfort model building phase in the first phase. Wherein the comfort model of the first stage needs to be established on as many test samples as possible, the obtained comfort model is more accurate. And the comfort model can be updated along with the test result increased at the later stage. The second stage is a recyclable process when comfort evaluation is carried out, and the test of each user on each mattress only needs to be carried out in the second stage without starting from the first stage.
In the embodiment shown in fig. 10, according to the relationship between the characteristic point change rate curve and the comfort standard curve, the characteristic point change rate curve of the user on the AM double-person adjustable mattress is within the envelope range of the comfort standard curve, and meets the preferable requirement. The test results of other types of mattresses exceed the comfort standard curve and the curve consistency of partial mattresses is poor compared with the comfort standard curve, so that the test results are not preferred products.
In a plurality of mattresses tested by a user in a certain embodiment, all the obtained characteristic point change rate curves do not reach the standard of the comfort standard curve, and in this case, the characteristic point change rate curves and the comfort standard curve are sorted according to the closeness degree to obtain the comfort ranking. The proximity can be obtained by a mathematical analysis method, or by analyzing the distance between the characteristic point and the standard curve.
In the process of acquiring the sleep physiological parameters, the acquisition times under the same test condition are increased according to the experimental conditions, and the time length proportion gamma is determined by the average value of the deep water period and the shallow sleep period.
In the process of acquiring the sleep physiological parameters, the invention can judge the deep sleep period and the light sleep period by combining one or more of eye movement, myoelectricity, electrocardio, mouth and nose airflow, snore, CPAP or Bi-PAP pressure, chest movement, abdomen movement, leg movement, body position, blood oxygen, pulse rate, pulse waveform and blood oxygen state, or carry out weighting adjustment on the time length proportion gamma obtained by the signal characteristics of sleep electroencephalogram.
In one embodiment, for mattresses that do not meet the comfort criterion curve, a comfort mattress is preferred based on the principle that the characteristic point rate of change curve is closest to the comfort criterion curve.
The curves of the embodiment shown in figure 10,
the mattress comfort evaluation method and the evaluation system are considered based on the integral physiological characteristics of the human body, and compared with a scheme of judging the physical detection values of the single test points, the detection of the latter detection is usually classified by combining the subjective feelings of the user, so that the judgment standard of the mattress comfort evaluation method and the mattress comfort evaluation system is more objective, and the defects that the subjective standards are inconsistent and the subjective feelings cannot be quantized are overcome.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A mattress comfort evaluation method is applied to electronic equipment and is characterized in that: the method establishes a comfort model in advance, and comprises the following steps:
s1, measuring, calculating and drawing a characteristic point change rate curve
S1.1, measuring the coordinate system positions of characteristic points of a plurality of tested persons in a standing posture, wherein the characteristic points are distributed on a spine curve and one-side lower limb limbs;
s1.2, arranging tested personnel to lie on the side on mattresses of different brands and different types according to specified postures, and measuring the position of a feature point coordinate system under the same coordinate system;
s1.3, calculating the change rate of the characteristic points of each tester along the direction vertical to the plane of the mattress;
s1.4, drawing a characteristic point change rate curve;
s2, analyzing the sleep physiological parameters
S2.1, in a living environment, the mattress in the step S1.2 is adopted, a tester is arranged to sleep for a plurality of days, and physiological parameters including sleep electroencephalogram of the tested person are monitored;
s2.2, judging a deep sleep period and a light sleep period according to the signal characteristics of the sleep electroencephalogram, and recording the time length alpha of the deep sleep period and the time length beta of the light sleep period;
s2.3, calculating a time length proportion gamma:
γ＝α/β；
s3, fitting the characteristic point change rate curve to obtain a comfort model
S3.1, screening out a duration proportion gamma which is greater than or equal to the preset duration proportion theta based on the preset duration proportion theta;
s3.2, carrying out mathematical fitting on the characteristic point change rate curve associated with the screened duration proportion gamma to obtain a comfort standard curve;
the method is used for evaluating the comfort of a user using the mattress based on a comfort standard curve in a comfort model, and comprises the following steps:
s4, collecting and drawing a characteristic point change rate curve of the user on the tested mattress according to the process of the step S1;
and S5, if the characteristic point change rate curve is in the envelope range of the comfort standard curve, meeting the comfort requirement, otherwise, not meeting the requirement, and for the unsatisfied condition, the characteristic point change rate curve closest to the comfort standard curve has the highest relative comfort of the mattress corresponding to the characteristic point change rate curve.
2. The mattress comfort evaluation method according to claim 1, characterized in that: in the step S1.1, a human body motion capture system is adopted, and the spatial position changes of different physiological parts of the human body under different states are recorded in a mode of setting mark points on the characteristic points.
3. The mattress comfort evaluation method according to claim 1, characterized in that: the specified posture in the step S1.2 requires the body to be leaned and the whole body to be straightened and laid down, the eyes look to the left side of the horizontal, the two hands are arranged in the right front of the body in a crossed manner, and the two feet are closed.
4. The mattress comfort evaluation method according to claim 1, characterized in that: the origin of the coordinate system is set at the achilles tendon position.
5. The mattress comfort evaluation method according to claim 1, characterized in that: the monitored physiological parameters also comprise one or more of eye movement, myoelectricity, electrocardio, air flow of mouth and nose, snore, CPAP or Bi-PAP pressure, chest movement, abdomen movement, leg movement, body position, blood oxygen, pulse rate, pulse waveform and blood oxygen state, and the deep sleep period and the light sleep period are judged according to multiple indexes.
6. The utility model provides a mattress travelling comfort evaluation system which characterized in that: the evaluation system comprises a characteristic point change rate curve drawing module, a sleep physiological parameter analysis module, a comfort model establishing module and a comfort evaluation module, wherein the characteristic point change rate curve drawing module, the sleep physiological parameter analysis module, the comfort model establishing module and the comfort evaluation module are connected with the characteristic point change rate curve drawing module
The characteristic point change rate curve drawing module measures the positions of a characteristic point coordinate system of a plurality of tested persons in a standing posture, and the characteristic points are distributed on a spine curve and single-side lower limb limbs; the tested person lies on the side on mattresses of different brands and different types according to the specified posture, and the characteristic point change rate curve drawing module measures the position of the characteristic point coordinate system under the same coordinate system; calculating the change rate of the characteristic points of each tested person along the direction vertical to the plane of the mattress; drawing a characteristic point change rate curve based on the change rate value;
the sleep physiological parameter analysis module adopts the same batch of mattresses participating in the test in a living environment, and monitors the physiological parameters of the tested person including sleep electroencephalogram when the tested person sleeps in a test for multiple days; judging a deep sleep period and a light sleep period according to the signal characteristics of the sleep electroencephalogram, and recording the time length alpha of the deep sleep period and the time length beta of the light sleep period; calculating a time length proportion gamma:
γ＝α/β；
the comfort model building module screens out a time length proportion gamma which is greater than or equal to a preset time length proportion theta on the basis of the preset time length proportion theta; carrying out mathematical fitting on the characteristic point change rate curve associated with the screened duration proportion gamma to obtain a comfort standard curve;
the comfort evaluation module receives the characteristic point change rate curve obtained by the characteristic point change rate curve drawing module aiming at the user and the tested mattress, and judges whether the characteristic point change rate curve is in the envelope range of the comfort standard curve, if so, the comfort requirement is met, otherwise, the characteristic point change rate curve is not met, and for the situation of not meeting the requirement, the characteristic point change rate curve closest to the comfort standard curve has the highest relative comfort of the mattress corresponding to the characteristic point change rate curve.
7. The mattress comfort evaluation system of claim 6, wherein: the characteristic point change rate curve drawing module adopts a human body motion capture system and records the spatial position changes of different physiological parts of a human body in different states in a mode of setting mark points on the characteristic points.
8. The mattress comfort evaluation system of claim 6, wherein: the specified posture requires the body to be leaned and the whole body to be straightened and laid down, the eyes look to the left side of the horizontal posture, and the two hands are arranged in front of the body in a crossed manner; the feet are closed.
9. The mattress comfort evaluation system of claim 6, wherein: the physiological parameters monitored by the sleep physiological parameter analysis module further comprise one or more of eye movement, myoelectricity, electrocardio, mouth and nose airflow, snore, CPAP or Bi-PAP pressure, chest movement, abdomen movement, leg movement, body position, blood oxygen, pulse rate, pulse waveform and blood oxygen state, and the deep sleep period and the light sleep period are judged according to multiple indexes.
10. A mattress optimization method, characterized by: the method utilizes the mattress comfort evaluation system according to any one of claims 6-9 to draw and evaluate the characteristic point change rate curve of a user on various mattresses, and a mattress with the characteristic point change rate curve within the comfort standard curve envelope range is selected as a preferred mattress.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210370803.0A CN114813183A (en) | 2022-04-11 | 2022-04-11 | Mattress comfort evaluation system, evaluation method and mattress optimization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210370803.0A CN114813183A (en) | 2022-04-11 | 2022-04-11 | Mattress comfort evaluation system, evaluation method and mattress optimization method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114813183A true CN114813183A (en) | 2022-07-29 |
Family
ID=82534011
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210370803.0A Pending CN114813183A (en) | 2022-04-11 | 2022-04-11 | Mattress comfort evaluation system, evaluation method and mattress optimization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114813183A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117893076A (en) * | 2024-01-11 | 2024-04-16 | 苏州大学 | Construction and application method of sleep product efficacy evaluation system |
-
2022
- 2022-04-11 CN CN202210370803.0A patent/CN114813183A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117893076A (en) * | 2024-01-11 | 2024-04-16 | 苏州大学 | Construction and application method of sleep product efficacy evaluation system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2265173B1 (en) | Method and system for sleep/wake condition estimation | |
| Wilhelm et al. | Taking the laboratory to the skies: Ambulatory assessment of self-report, autonomic, and respiratory responses in flying phobia | |
| CN102065753B (en) | Non-invasive method and apparatus for determining light- sleep and deep-sleep stages | |
| CN108888271B (en) | Physiological parameter measuring system and intelligent seat with same | |
| RU2704787C1 (en) | System and method of determining for determining a stage of sleep of a subject | |
| CN106073714A (en) | The recognition methods of a kind of sleep quality and system | |
| Garwood et al. | Autonomic nervous system function and aging: Response specificity | |
| CN113688720B (en) | Method for predicting sleeping gesture based on neural network recognition | |
| Walsh et al. | Identification of nocturnal movements during sleep using the non-contact under mattress bed sensor | |
| CN114813183A (en) | Mattress comfort evaluation system, evaluation method and mattress optimization method | |
| Jaworski et al. | Internet of things for sleep monitoring | |
| Aubert et al. | Estimation of vital signs in bed from a single unobtrusive mechanical sensor: Algorithms and real-life evaluation | |
| Altini et al. | Personalizing energy expenditure estimation using a cardiorespiratory fitness predicate | |
| CN112294263B (en) | Unstable sleep state evaluation method model based on brain wave frequency | |
| CN107997760B (en) | Relevance evaluation method for human body physiological and psychological measurement data | |
| Febriana et al. | Sleep monitoring system based on body posture movement using Microsoft Kinect sensor | |
| Chen et al. | The past, present, and future of sleep quality assessment and monitoring | |
| JP7521836B2 (en) | Apparatus, method and computer program for scoring sleep quality | |
| CN108956959A (en) | By class product comfort evaluation method and device | |
| Onim et al. | CASD-OA: Context-Aware Stress Detection for Older Adults with Machine Learning and Cortisol Biomarker | |
| Green et al. | Sleep-Wake and Body Position Classification with Deep Learning Using Pressure Sensor Mat Measurements | |
| Townsend et al. | Amplitude-based central apnea screening | |
| Kuo et al. | An EOG-based sleep monitoring system and its application on on-line sleep-stage sensitive light control | |
| Lee et al. | Monitoring obstructive sleep apnea with electrocardiography and 3-axis acceleration sensor | |
| Adami et al. | Gaussian model for movement detection during Sleep |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |