Method for evaluating recovery benefit of giant panda national park greenway on sperm classification patient

Abstract

The invention discloses a method for evaluating the recovery benefit of a giant panda national park greenway on a refined patient. The method comprises the following steps: acquiring an image of the giant panda national park greenway; preprocessing the giant panda national park greenway image; selecting a sperm fraction patient subject; obtaining the recovery benefit of the perceptual classification patient subject on the greenway image of the giant panda national park by adopting a perceptual recovery scale; screening environmental factors in the giant panda national park greenway image; quantifying environmental factors in the giant panda national park greenway image; and constructing a correlation prediction model between the environment characteristic factors and the scores of the perception recovery scale. According to the method, environment feature factors are quantified through images, greenway environment features are systematically analyzed, the association prediction model is constructed, dynamic association between environment elements and rehabilitation indexes of the precisely-classified patient is revealed, and a new data-driven normal form is provided for scientific design of the rehabilitation-oriented greenway.

Description

Technical Field

[0001] This invention belongs to the technical field of quantitative assessment of the environmental benefits of greenways, specifically relating to a method for assessing the recovery benefits of the Giant Panda National Park greenway for patients with schizophrenia. Background Technology

[0002] Schizophrenia, a severe mental disorder, has a continuously rising global prevalence. Patients face a long-term dilemma of high relapse rates and declining social functioning. According to the World Health Organization, the global prevalence of schizophrenia is approximately 1%, with over 2 million new cases each year. Traditional treatments primarily rely on antipsychotic medications, supplemented by psychotherapy (CBT) and community rehabilitation. However, about 30% of patients do not respond well to medication and develop treatment-resistant schizophrenia. While traditional treatments can alleviate symptoms, they often fail to address the negative impacts of environmental stressors such as noise and crowded spaces on recovery. Patients frequently face employment difficulties and social exclusion, leading to relapses, with a relapse rate as high as 80% within 5 years. Therefore, exploring non-pharmacological interventions, especially promoting recovery through optimizing the physical environment, has become a research focus at the intersection of psychiatry and urban planning.

[0003] Greenways are multifunctional linear green spaces that connect different ecological spaces to prevent habitat fragmentation and maintain the integrity of natural ecosystems. Therefore, greenways contribute to soil consolidation, flood control, sanitation, and air purification. By providing safe, designated spaces, greenways can also promote recreational and fitness activities and support non-motorized transportation (such as walking and cycling), thereby improving the health of community residents. As a multifunctional public space, greenways not only serve functions such as ecological protection, transportation connectivity, and leisure, but also play an important role in promoting psychological and physiological recovery. In recent years, the greenways of the Giant Panda National Park have been shown to significantly reduce cortisol levels and improve cognitive function in patients due to their natural characteristics, becoming a new direction for non-pharmacological interventions. However, existing quantitative assessments of the environmental benefits of greenways have long relied on subjective observations and lack precise technical support. Summary of the Invention The purpose of this invention is to address the aforementioned shortcomings in the existing technology by providing a method for evaluating the recovery benefits of the Giant Panda National Park Greenway for patients with schizophrenia, thereby solving the problem that the quantitative evaluation of the environmental benefits of existing greenways has long relied on subjective observation and lacks precise technical support.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for evaluating the recovery benefits of the Giant Panda National Park Greenway for patients with schizophrenia includes the following steps: S1. Collect images of the greenway in Giant Panda National Park; S2. Preprocess the images of the greenway in Giant Panda National Park; S3. Select schizophrenic patients as subjects; S4. The Perceptual Recovery Scale was used to obtain the recovery benefits of images of the greenway in the Giant Panda National Park for schizophrenic patients. S5. Screen environmental factors in the greenway images of Giant Panda National Park; S6. Quantifying environmental factors in images of the greenway in Giant Panda National Park; S7. Construct a predictive model for the association between environmental characteristic factors and the scores of the perceptual recovery scale.

[0005] Furthermore, in S2, preprocessing includes: Eliminate images that are poorly lit or blurry; Images with unnatural composition that cause the visual focus to deviate from the landscape environment are excluded; Exclude images with similar environmental features; Images containing trash, severely damaged facilities, or poorly developed vegetation were excluded.

[0006] Furthermore, in S3, the selection criteria for schizophrenic patients were as follows: Meets the diagnostic criteria for DSM-V schizophrenia; A total score of ≥60 on the PANSS scale; Age between 18 and 65 years old; The disease has been stable for more than 3 months; The types and dosages of antipsychotic drugs currently in use have remained stable for more than 3 months; Possesses the ability to read and write, and is able to communicate orally and in writing; Normal visual acuity or corrected visual acuity.

[0007] Furthermore, in S5, environmental factors in the greenway images of the Giant Panda National Park are screened, including: Experts scored the importance of environmental factors in the images of the greenway in Giant Panda National Park and selected the nine environmental factors with the highest scores: Green view rate, plant richness, road width, richness of rest facilities, richness of artificial facilities, water feature coverage, sky ratio, openness, and color richness.

[0008] Furthermore, in S6, environmental factors in the greenway images of Giant Panda National Park are quantified, including: The proportion of nine environmental factors in the image is calculated, thus obtaining nine environmental characteristic factors, namely, the green view rate environmental characteristic factor. x 1. Environmental characteristics of plant richness x 2. Environmental characteristics of road width x 3. Environmental characteristic factors of the richness of recreational facilities x 4. Environmental characteristic factors of artificial facility abundance x5. Environmental characteristic factors of water feature coverage rate x 6. Environmental characteristic factors of sky rate x 7. Openness environmental characteristic factors x 8 and color richness environmental characteristic factors x 9.

[0009] Furthermore, in S7, a predictive model for the association between environmental characteristic factors and perceptual recovery scale scores is constructed, including the following steps: S71. Standardize the nine environmental characteristic factors; S72. Based on the recovery theory in psychology, a hierarchical model of environmental factors is constructed using the perception dimension to obtain a latent variable model. S73. Calculate the weight values ​​of the perception dimension; S74. Based on the weight values ​​of the perception dimension, construct a correlation prediction model between environmental feature factors and the scores of the perception recovery scale.

[0010] Furthermore, in S71, nine environmental characteristic factors are standardized, including: In the formula, For the first i One environmental characteristic factor, i =1, 2, 3…9; These are standardized environmental characteristic factors; For the first i The baseline values ​​for each environmental characteristic factor; for i The adjustment coefficient of each environmental characteristic factor.

[0011] Furthermore, in S72, environmental factors are modeled hierarchically based on perception dimensions, including: Natural Immersion Dimension : In the formula, The weighting coefficient for natural elements represents the impact of the natural environment; This is a non-linear activation term for green visibility rate; The standardized environmental characteristic factor of green visibility rate; Standardized environmental characteristic factors of plant richness; The standardized environmental characteristic factors of water feature coverage; The standardized sky rate environmental characteristic factor; Spatial perception dimension S: In the formula, This is the spatial element weighting coefficient, representing the influence of the artificial environment; The standardized environmental characteristic factor of road width; The standardized environmental characteristic factor of road width; The standardized environmental characteristic factors for the richness of recreational facilities; The standardized environmental characteristic factor of artificial facility abundance; The standardized openness environmental characteristic factor; Saturation effect treatment for road width; For nonlinear adjustment of openness, For curvature control parameters; Sensory stimulation dimension C: In the formula, This is the sensory stimulation weighting coefficient, used to balance visual and non-visual stimuli; Standardized color enrichment environmental characteristic factors; Recovery threshold dimension T: In the formula, To restore the upper limit of performance coefficient; This represents the sensitivity coefficient to natural elements.

[0012] Furthermore, in S73, the weight values ​​of the perceptual dimension are calculated, including: In the formula, The weight of the natural immersion dimension; The weights for the spatial perception dimension; The weights for the sensory stimulation dimension; Adjust parameters for environment type; This indicates the competitive relationship between nature and spatial dimensions.

[0013] Furthermore, in S74, the association prediction model is: In the formula, The score for the perceptual recovery scale; This represents the global recovery efficiency coefficient. This serves as a benchmark for psychological recovery when environmental factors are completely absent.

[0014] The method for evaluating the recovery benefits of the Giant Panda National Park Greenway for schizophrenia patients provided by this invention has the following beneficial effects: 1. This invention quantifies environmental feature factors through images, systematically analyzes the environmental characteristics of greenways, and constructs a correlation prediction model. It aims to reveal the dynamic correlation between environmental elements and rehabilitation indicators of schizophrenic patients, and provide a new data-driven paradigm for the scientific design of rehabilitation-oriented greenways.

[0015] 2. This invention relates to the interdisciplinary field of mental illness rehabilitation medicine and environmental design. It utilizes image quantification of environmental features in greenways and combines psychological assessment data to construct a predictive model that correlates the recovery benefits of schizophrenia patients with environmental feature factors, providing a basis for constructing rehabilitation landscapes for schizophrenia patients. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the method of evaluating the recovery benefits of the Giant Panda National Park Greenway for patients with schizophrenia. Detailed Implementation

[0017] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0018] Example 1 The method for evaluating the recovery benefits of the Giant Panda National Park greenway for schizophrenia patients in this embodiment can objectively quantify the environmental benefits of the greenway and provide a basis for constructing rehabilitative landscapes for schizophrenia patients. Specifically, it includes the following: S1. Collect images of the greenway in Giant Panda National Park; Specifically, this embodiment selects the Giant Panda National Park greenway within the Chengdu Tianfu Greenway system, which is already built, has a high usage rate, and has landscape construction value. The camera is fixed on a 1.6-meter tripod, and observation points are selected every 50 meters along the center line of the greenway to take pictures, thereby obtaining multiple images of the Giant Panda National Park greenway.

[0019] S2. Preprocess the images of the greenway in Giant Panda National Park; The preprocessing in this embodiment includes: Exclude photos that are poorly lit or blurry; Exclude photos whose unnatural composition makes it difficult to focus the viewer's attention on the landscape environment; Exclude photos with similar environmental features; After removing photos with obvious litter, severely damaged facilities, poor vegetation, and other unsatisfactory landscape effects, 12 photos of the Giant Panda National Park greenway were finally selected as samples. Finally, Adobe Photoshop was used to process the selected images, adjusting them to a resolution of 6000×3375 and a uniform size.

[0020] S3. Select schizophrenic patients as subjects; The selection criteria for this embodiment are as follows: Meets the diagnostic criteria for DSM-V schizophrenia; A total score of ≥60 on the PANSS scale; Age between 18 and 65 years old; The disease has been stable for more than 3 months; The types and dosages of antipsychotic drugs currently in use have remained stable for more than 3 months; Possesses a certain level of literacy and is able to communicate orally and in writing; Normal visual acuity or corrected visual acuity; Patients and their legal guardians were informed about the study and signed informed consent forms. Ultimately, 40 patients with schizophrenia were included in the study.

[0021] S4. The Perceptual Recovery Scale was used to obtain the recovery benefits of images of the greenway in the Giant Panda National Park for schizophrenic patients. Specifically, this embodiment obtains the recovery benefits of schizophrenic patients on 12 processed greenway photos, uses the Perceptual Recovery Scale (SRRS) to evaluate the recovery effect, and ranks the average total score of the Perceptual Recovery Scale (SRRS) for the 12 Giant Panda National Park greenways. The score range for each item on the scale is from 1 to 9, with higher scores indicating better recovery benefits.

[0022] S5. Screen environmental factors in the greenway images of Giant Panda National Park; In this embodiment, experts scored the importance of environmental factors in the greenway images of the Giant Panda National Park, and finally selected the nine environmental factors with the highest scores: Green view rate, plant richness, road width, abundance of recreational facilities, abundance of artificial facilities, water feature coverage, sky view rate, openness, and color richness. S6. Quantifying environmental factors in images of the greenway in Giant Panda National Park; This embodiment requires identifying various environmental factors in the image and calculating the proportion of environmental factors in the image; It should be noted that this embodiment does not limit the method and approach of image recognition. The corresponding environmental factor region can be manually defined for recognition; deep learning can also be used for recognition. For example, using the DeepLabv3+ semantic image segmentation model based on deep convolutional neural networks, the environmental feature factors in 12 greenway image samples from the Giant Panda National Park were quantitatively analyzed. The proportion of different elements in the environmental images was identified and quantified, and the proportion of 9 environmental feature factors in each of the 12 greenway images was analyzed.

[0023] This leads to nine environmental characteristic factors, namely, the green view rate environmental characteristic factor. x 1. Environmental characteristics of plant richness x 2. Environmental characteristics of road width x 3. Environmental characteristic factors of the richness of recreational facilities x 4. Environmental characteristic factors of artificial facility abundance x 5. Environmental characteristic factors of water feature coverage rate x 6. Environmental characteristic factors of sky rate x 7. Openness environmental characteristic factors x 8 and color richness environmental characteristic factors x 9.

[0024] S7. Construct a predictive model for the association between environmental characteristic factors and perceptual recovery scale scores; This embodiment categorizes environmental characteristic factors into natural factors (based on their inherent properties) x 1, x 2, x 6, x 7) and human factors ( x 3, x 4, x 5, x 8, x 9) Referring to recovery theory in psychology, the factors are divided into four dimensions: escape, attraction, compatibility, and richness. Then, corresponding to different environmental factors, a hierarchical model of perception dimensions—a latent variable model—is performed, specifically divided into the natural immersion dimension, spatial perception dimension, sensory stimulation dimension, and recovery threshold dimension. Finally, combining environmental characteristic factors and perceptual recovery scale scores, a correlation prediction model that can specifically quantify the relationship between the two is constructed, which includes the following steps: S71. To facilitate later calculations, the environmental characteristic factors need to be dimensionless, specifically the nine environmental characteristic factors need to be standardized. In the formula, For the first i One environmental characteristic factor, i =1, 2, 3…9; These are standardized environmental characteristic factors; For the first iA baseline value for each environmental characteristic factor, which can be set by the user; for i The adjustment coefficients of each environmental characteristic factor are specifically standardized parameters that reflect the degree of data dispersion.

[0025] S72. Based on the recovery theory in psychology, a hierarchical model of environmental factors is constructed using perceptual dimensions to obtain a latent variable model, which specifically includes four dimensions: Natural Immersion Dimension : In the formula, The weighting coefficient for natural elements represents the impact of the natural environment; This is a non-linear activation term for green visibility rate; The standardized environmental characteristic factor of green visibility rate; Standardized environmental characteristic factors of plant richness; The standardized environmental characteristic factors of water feature coverage; The standardized sky rate environmental characteristic factor; This indicates the synergistic effect between the water feature and the sky; when they interact, they form a coupling relationship between the elements.

[0026] Spatial perception dimension S: In the formula, This is the spatial element weighting coefficient, representing the influence of the artificial environment; The standardized environmental characteristic factor of road width; The standardized environmental characteristic factor of road width; The standardized environmental characteristic factors for the richness of recreational facilities; The standardized environmental characteristic factor of artificial facility abundance; The standardized openness environmental characteristic factor; Saturation effect treatment for road width; For nonlinear adjustment of openness, For curvature control parameters; This indicates a synergistic effect of richness, and the two are coupled.

[0027] Sensory stimulation dimension C: In the formula, This is the sensory stimulation weighting coefficient, used to balance visual and non-visual stimuli; Standardized color enrichment environmental characteristic factors; Recovery threshold dimension T: In the formula, To restore the upper limit of performance coefficient; Sensitivity coefficient for natural elements; This indicates the weakest link effect of key natural elements (the minimum values ​​of green view rate, water view, and sky view rate determine the threshold).

[0028] S73. Calculate the weight values ​​of the perception dimension; In the formula, The weight of the natural immersion dimension; The weights for the spatial perception dimension; The weights for the sensory stimulation dimension; Adjust parameters for environment type; This indicates the competitive relationship between nature and spatial dimensions.

[0029] in, Adjust parameters for environment type. 0 = natural park, 1 = city square; used to achieve adaptive adjustment between natural and urban environments; Used to establish a minimum guarantee mechanism for natural elements; Used to suppress the risk of sensory overload in intermediate environments.

[0030] S74. Based on the weight values ​​of the perception dimension, construct a correlation prediction model between environmental feature factors and the scores of the perception recovery scale. In the formula, The score for the perceptual recovery scale; This represents the global recovery efficiency coefficient. This serves as a benchmark for psychological recovery when environmental factors are completely absent.

[0031] Based on this correlation prediction model, the present invention can specifically quantify the relationship between environmental characteristic factors and perceptual recovery scale scores, providing a basis for constructing rehabilitative landscapes for patients with schizophrenia.

[0032] Although specific embodiments of the invention have been described in detail with reference to the accompanying drawings, this should not be construed as limiting the scope of protection of this patent. Various modifications and variations that can be made by a person skilled in the art without inventive effort within the scope described in the claims still fall within the scope of protection of this patent.

Claims

1. A method for evaluating the recovery benefits of the Giant Panda National Park Greenway for patients with schizophrenia, characterized in that, Includes the following steps: S1. Collect images of the greenway in Giant Panda National Park; S2. Preprocess the images of the greenway in Giant Panda National Park; S3. Select schizophrenic patients as subjects; S4. The Perceptual Recovery Scale was used to obtain the recovery benefits of images of the greenway in the Giant Panda National Park for schizophrenic patients. S5. Screen environmental factors in the greenway images of Giant Panda National Park; S6. Quantifying environmental factors in images of the greenway in Giant Panda National Park; S7. Construct a predictive model for the association between environmental characteristic factors and the scores of the perceptual recovery scale.

2. The method for evaluating the benefits of the Giant Panda National Park Greenway for the recovery of schizophrenic patients according to claim 1, characterized in that, In step S2, the preprocessing includes: Eliminate images that are poorly lit or blurry; Images with unnatural composition that cause the visual focus to deviate from the landscape environment are excluded; Exclude images with similar environmental features; Images containing trash, severely damaged facilities, or poorly developed vegetation were excluded.

3. The method for evaluating the benefits of the Giant Panda National Park Greenway for the recovery of schizophrenic patients according to claim 1, characterized in that, In S3, the selection criteria for schizophrenic patients are as follows: Meets the diagnostic criteria for DSM-V schizophrenia; A total score of ≥60 on the PANSS scale; Age between 18 and 65 years old; The disease has been stable for more than 3 months; The types and dosages of antipsychotic drugs currently in use have remained stable for more than 3 months; Possesses the ability to read and write, and is able to communicate orally and in writing; Normal visual acuity or corrected visual acuity.

4. The method for evaluating the recovery benefits of the Giant Panda National Park Greenway for schizophrenia patients according to claim 1, characterized in that, In step S5, environmental factors in the greenway images of the Giant Panda National Park are screened, including: Experts scored the importance of environmental factors in the images of the greenway in Giant Panda National Park and selected the nine environmental factors with the highest scores: Green view rate, plant richness, road width, richness of rest facilities, richness of artificial facilities, water feature coverage, sky ratio, openness, and color richness.

5. The method for evaluating the benefits of the Giant Panda National Park Greenway for the recovery of schizophrenic patients according to claim 4, characterized in that, In step S6, the environmental factors in the greenway image of Giant Panda National Park are quantified, including: The proportion of nine environmental factors in the image is calculated, thus obtaining nine environmental characteristic factors, namely, the green view rate environmental characteristic factor. x 1. Environmental characteristics of plant richness x 2. Environmental characteristics of road width x 3. Environmental characteristic factors of the richness of recreational facilities x 4. Environmental characteristic factors of artificial facility abundance x 5. Environmental characteristic factors of water feature coverage rate x 6. Environmental characteristic factors of sky rate x 7. Openness environmental characteristic factors x 8 and color richness environmental characteristic factors x 9.

6. The method for evaluating the recovery benefits of the Giant Panda National Park Greenway for schizophrenia patients according to claim 5, characterized in that, In step S7, the association prediction model between environmental characteristic factors and the perceptual recovery scale score is constructed, including the following steps: S71. Standardize the nine environmental characteristic factors; S72. Based on the recovery theory in psychology, a hierarchical model of environmental factors is constructed using the perception dimension to obtain a latent variable model. S73. Calculate the weight values ​​of the perception dimension; S74. Based on the weight values ​​of the perception dimension, construct a correlation prediction model between environmental feature factors and the scores of the perception recovery scale.

7. The method for evaluating the benefits of the Giant Panda National Park Greenway for the recovery of schizophrenic patients according to claim 6, characterized in that, In step S71, nine environmental characteristic factors are standardized, including: In the formula, For the first i One environmental characteristic factor, i =1, 2, 3…9; These are standardized environmental characteristic factors; For the first i The baseline values ​​for each environmental characteristic factor; for i The adjustment coefficient of each environmental characteristic factor.

8. The method for evaluating the benefits of the Giant Panda National Park Greenway for the recovery of schizophrenic patients according to claim 7, characterized in that, In step S72, the perception dimension hierarchical modeling of environmental factors includes: Natural Immersion Dimension : In the formula, The weighting coefficient for natural elements represents the impact of the natural environment; This is a non-linear activation term for green visibility rate; The standardized environmental characteristic factor of green visibility rate; Standardized environmental characteristic factors of plant richness; The standardized environmental characteristic factors of water feature coverage; The standardized sky rate environmental characteristic factor; Spatial perception dimension S: In the formula, This is the spatial element weighting coefficient, representing the influence of the artificial environment; The standardized environmental characteristic factor of road width; The standardized environmental characteristic factor of road width; The standardized environmental characteristic factors for the richness of recreational facilities; The standardized environmental characteristic factor of artificial facility abundance; The standardized openness environmental characteristic factor; Saturation effect treatment for road width; For nonlinear adjustment of openness, For curvature control parameters; Sensory stimulation dimension C: In the formula, This is the sensory stimulation weighting coefficient, used to balance visual and non-visual stimuli; Standardized color enrichment environmental characteristic factors; Recovery threshold dimension T: In the formula, To restore the upper limit of performance coefficient; This represents the sensitivity coefficient to natural elements.

9. The method for evaluating the benefits of the Giant Panda National Park Greenway for the recovery of schizophrenic patients according to claim 8, characterized in that, In step S73, calculating the weight values ​​of the perception dimension includes: In the formula, The weight of the natural immersion dimension; The weights for the spatial perception dimension; The weights for the sensory stimulation dimension; Adjust parameters for environment type; This indicates the competitive relationship between nature and spatial dimensions.

10. The method for evaluating the benefits of the Giant Panda National Park Greenway for the recovery of schizophrenic patients according to claim 9, characterized in that, In S74, the correlation prediction model is: In the formula, The score for the perceptual recovery scale; This represents the global recovery efficiency coefficient. This serves as a benchmark for psychological recovery when environmental factors are completely absent.

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