system and method for acquiring remote ecg data and / or other measures vital signs or clinical patients

• 1. 辅助心电图(ECG)组件和包括辅助ECG组件的临床数据获取系统 [P] . 中国专利： CN114007507A . 2022-02-01
• 2. 一种数据的远程获取系统及远程获取方法 [P] . 中国专利： CN102724547B . 2015.05.27
• 3. SECURING PATIENT VITAL SIGN DATA AND CONFIGURING VITAL SIGN DATA FOR REMOTE ACCESS BY HEALTHCARE PROVIDERS [P] . EP3787483A1 . 2021-03-10

  机译： 保护患者生命的标志数据，并配置医疗保健提供者的远程访问的重要符号数据

• 4. SECURING PATIENT VITAL SIGN DATA AND CONFIGURING VITAL SIGN DATA FOR REMOTE ACCESS BY HEALTHCARE PROVIDERS [P] . US2021244281A1 . 2021-08-12

  机译： 保护患者生命的标志数据，并配置医疗保健提供者的远程访问的重要符号数据

• 5. Protection of patient vital sign data and composition of vital sign data for remote access by healthcare providers [P] . JP2021522965A . 2021-09-02

  机译： 保护患者生命标志数据和医疗保健提供者远程访问的重要标志数据的组成

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• 2. Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography system and its clinical application in rapidly screening patients with suspected infectious diseases [J] . Guanghao Sun, Yosuke Nakayama, Sumiyakhand Dagdanpurev, International journal of infectious diseases : . 2017,第Supplementa1期
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• 4. How to improve vital sign data quality for use in clinical decision support systems? A qualitative study in nine Swedish emergency departments [J] . Niclas Skyttberg, Joana Vicente, Rong Chen, BMC Medical Informatics and Decision Making . 2016,第1期
• 5. Remote monitoring of vital signs in patients with Chronic Heart Failure: Sensor devices and data analysis perspective [C] . Saponara Sergio, Donati Massimiliano, Bacchillone Tony, 2012 IEEE Sensors Applications Symposium Proceedings . 2012
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• 7. Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography system and its clinical application in rapidly screening patients with suspected infectious diseases [O] . Guanghao Sun, Yosuke Nakayama, Sumiyakhand Dagdanpurev, -1
• 8. 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
• 9. Evaluation of Noninvasive Measurement Methods and Systems for Application in Vital Signs Detection. Part 2. Breadboard Design of a Vital Sign Detector [R] . Lessard, C. S., Wong, W. C., Yee, A. 1986

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