胆固醇病、尿酸、肥胖、缺氧检测保健亭的实现系统

Heny Yuniarti, Riyanto Sigit, Amran Zamzami
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摘要

过去几十年来,卫生部门的技术进步发展非常迅速。目前,大多数人没有接受常规医疗检查,因为病人排了很长的队,而且看专科医生必须支付昂贵的费用。这导致许多人忽视了国家健康机构建议的例行健康检查的重要性。本研究的目的是制作一个可以在家中独立进行日常检查的设备,使用Arduino微控制器来检查胆固醇、尿酸、肥胖和缺氧。这个工具有几个传感器,即超声波和称重传感器测量体重和身高,这是用来检测肥胖通过BMI表。此外,还有一个脉搏和血氧传感器(SPO2)传感器,用于检测心率和氧饱和度,使用模糊逻辑方法检测缺氧。采用基于电极的生物传感器方法和数字检测装置(安培生物传感器)检测胆固醇和尿酸。通过对Tsukamoto模糊逻辑方法系统的测试,获得了100%的数据准确率值,符合设定的缺氧疾病分类规则。试验阶段进行了多达10个试验,其中90%的患者没有出现缺氧,10%的患者出现轻度缺氧。对肥胖BMI表法系统的测试结果,根据BMI计算器的计算,获得了100%的数据精度值。在10期试验中,30%的患者消瘦,50%的患者肥胖,20%的患者肥胖。系统测试结果使用一系列值,根据胆固醇和尿酸水平的分类,每个值的数据精度值为100%。10项试验表明,70%的患者处于正常状态,20%的患者处于低胆固醇状态,10%的患者处于高极限。痛风方面,70%的患者处于正常状态,30%的患者处于高尿酸状态。
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Implementation System of Health Care Kiosk for Detecting Cholesterol Disease, Uric Acid, Obesity and Hypoxia
The development of technological advances in the health sector in the last decades has grown very rapidly. Currently, most people do not receive routine medical check-ups because of the long lines of patients and the expensive rates they must pay to see a specialist doctor. This causes many people to ignore the importance of routine health checks as recommended by the National Health Agency. The purpose of this research is to make a device that can perform routine checks independently at home, using an Arduino microcontroller for checking cholesterol, uric acid, obesity, and hypoxia. This tool has several sensors, namely Ultrasonic & Load Cell sensors to measure weight and height, which are used to detect obesity through the BMI table. In addition, there is a Pulse and Oxygen in Blood Sensor (SPO2) sensor to detect heart rate and oxygen saturation to detect hypoxia using the fuzzy logic method. Cholesterol and uric acid examination using the Electrode Based biosensor method with a digital detection device (amperometric biosensor). Testing the Tsukamoto fuzzy logic method system obtained a data accuracy value of 100%, following the rules set for classifying hypoxic diseases. The trial phase was carried out as many as 10 trials, where 90% of patients did not experience hypoxia, and 10% had mild hypoxia. The results of testing the BMI table method system for obesity obtained a data accuracy value of 100% according to the calculation of the BMI calculator. In phase 10 trials, 30% of patients were lean, 50% obese, and 20% obese. The system test results use a range of values, each with a data accuracy value of 100% according to the classification of cholesterol and uric acid levels. Ten trials showed that 70% of patients were in normal condition, 20% of patients with low cholesterol, and 10% of patients were in high limits. As for gout, 70% of patients are in normal condition, and 30% of patients are in high uric acid condition.
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