Sensor System for Analyzing Human Respiration in Arctic Conditions

机译：用于分析北极条件下人类呼吸的传感器系统

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A sensor for monitoring the dynamics of changes in the concentration of carbon dioxide in humans during respiration is presented. The sensor is based on a matched pair of LED-emitter-receiver. It was revealed that the shape of the nasal cavity affects the hydrodynamics and heat transfer in the respiratory system. It has been shown that dynamic parameter analysis is necessary for the diagnosis of respiratory diseases.

机译：提出了一种用于监测呼吸期间人们中二氧化碳浓度变化的动态的传感器。传感器基于匹配的一对LED发射器接收器。揭示了鼻腔的形状会影响呼吸系统中的流体动力学和传热。已经表明，动态参数分析是诊断呼吸系统疾病所必需的。

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《Conference of Open Innovations Association》|2021年|271-277|共7页
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Gennadij Lukyanov; Anna Rassadina;
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关键词
Analytical models; Atmospheric modeling; Pulmonary diseases; Nose; Numerical models; Arctic; Monitoring;

机译：分析模型;大气建模;肺病;鼻子;数值模型;北极;监测;

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专利

1. A wearable cardiorespiratory sensor system for analyzing the sleep condition [J] . Samjin Choi, Zhongwei Jiang Expert systems with applications . 2008,第1a2期

机译：可穿戴式心肺传感器系统，用于分析睡眠状况
2. Snow melt stimulates ecosystem respiration in Arctic ecosystems [J] . Global change biology . 2020,第9期

机译：雪融化在北极生态系统中刺激生态系统呼吸
3. Elevated rates of heterotrophic respiration in shrub-conditioned arctic tundra soils [J] . Phillips Carly A., Wurzburger Nina Pedobiologia . 2019,第期

机译：灌木调节的北极苔原土壤中异养呼吸率升高
4. ENCLOSURE/OPEN CATHODE FUEL CELL MATHEMATICAL MODEL FOR ANALYZING SYSTEM PERFORMANCE UNDER ARCTIC CONDITIONS [C] . Samantha M. Miller, Marc Secanell 10th fuel cell science, engineering, and technology conference 2012 . 2012

机译：北极条件下用于分析系统性能的封闭/开放式阴极燃料电池数学模型
5. Root and microbial respiration dominate carbon dioxide efflux in an arctic ecosystem. [D] . Segal, Aliza D. 2013

机译：在北极生态系统中，根和微生物的呼吸控制着二氧化碳的外排。
6. The Structure Design of Piezoelectric Poly(vinylidene Fluoride) (PVDF) Polymer-Based Sensor Patch for the Respiration Monitoring under Dynamic Walking Conditions [O] . Kin-Fong Lei, Yi-Zheng Hsieh, Yi-Yuan Chiu, 2015

机译：压电聚偏二氟乙烯（PVDF）聚合物基传感器膜片的结构设计用于动态步行条件下的呼吸监测
7. 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

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Sensor System for Analyzing Human Respiration in Arctic Conditions

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