PARAMETRIC MODELING METHOD OF HUMAN BODY SHAPE USING STATISTICAL ANALYSIS

• 1. 基于蜡烛图的景区内人流量统计分析系统及统计分析方法 [P] . 中国专利： CN111291652B . 2022.02.01
• 2. 基于蜡烛图的景区内人流量统计分析系统及统计分析方法 [P] . 中国专利： CN111291652A . 2020-06-16
• 3. HUMAN BODY SHAPE MODEL VISUALIZATION SYSTEM, HUMAN BODY SHAPE MODEL VISUALIZATION METHOD AND PROGRAM [P] . 日本专利： JP2019096228A . 2019-06-20

  机译： 人体形状模型可视化系统，人体形状模型可视化方法和程序

• 4. METHOD FOR ESTIMATING UNCERTAINTY OF CONSTRAINT FORCE IN HUMAN LOWER LIMB USING MULTIBODY MODELING AND A STATISTICAL METHOD CAPABLE OF IMPROVING RELIABILITY OF A RESULT OF INTERPRETING CONSTRAINT FORCE IN HUMAN LOWER LIMB [P] . 韩国专利： KR20120070660A . 2012-07-02

  机译： 利用多体模型估计下肢约束力不确定性的方法和能够提高下肢解释约束力结果可靠性的统计方法

• 5. HUMAN BODY MODEL PROVIDING SYSTEM, HUMAN BODY MODEL PROVIDING METHOD, HUMAN BODY MODEL PROVIDING DEVICE, DISPLAY TERMINAL DEVICE, HUMAN BODY MODEL DISPLAY METHOD AND COMPUTER PROGRAM [P] . 日本专利： JP2020000887A . 2020-01-09

  机译： 人体模型提供系统，人体模型提供方法，人体模型提供设备，显示终端设备，人体模型显示方法和计算机程序

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• 2. A Turbine Blade Parametric Modeling Method Considering 1-D Heat Transfer Analysis [J] . LI Ji-xing1, XI Ping1, GUO Yan-fei2, 计算机辅助绘图．设计与制造：英文版 . 2015,第003期
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• 5. Analysis of human body surface shape using parametric design method [J] . Kim Sungmin International Journal of Clothing Science and Technology . 2015,第3期
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• 10. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020
• 11. Geometric Methods for ATR: Shape Analysis, Object/Image Metrics, Shape Reconstruction, and Shape Statistics. [R] . Stiller, P. F., Johnson, A. 2011

• 1. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004） （P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期
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