Electronic data capture using the Womac® NRS 3.1 Index (m-Womac®): a pilot study of repeated independent remote data capture in OA

Nicholas Bellamy; B. Patel; T. Davis; S. Dennison

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Electronic data capture using the Womac® NRS 3.1 Index (m-Womac®): a pilot study of repeated independent remote data capture in OA

机译：使用Womac ® NRS 3.1索引（m-Womac ®）进行电子数据捕获：在OA中重复进行独立远程数据捕获的初步研究

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Aim A preliminary evaluation of mobile phone technology for repeated independent remote data capture using the mobile phone-based m-WOMAC® NRS 3.1 Index.

机译：目的使用基于移动电话的m-WOMAC ® NRS 3.1索引对移动电话技术进行重复独立远程数据捕获的初步评估。

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《Inflammopharmacology》 |2010年第3期|p.107-111|共5页
作者
Nicholas Bellamy; B. Patel; T. Davis; S. Dennison;
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正文语种 eng
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关键词
EDC; WOMAC®; Mobile phone; Health status measurement; Osteoarthritis;

机译：EDC;WOMAC ®/ sup;移动电话;健康状况测量;骨关节炎;

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1. Electronic data capture using the Womac NRS 3.1 Index (m-Womac): a pilot study of repeated independent remote data capture in OA. [J] . Bellamy N, Patel B, Davis T, Inflammopharmacology . 2010,第3期

机译：使用Womac NRS 3.1索引（m-Womac）进行电子数据捕获：对OA中重复的独立远程数据捕获进行的初步研究。
2. Electronic data capture (EDC) using cellular technology: implications for clinical trials and practice, and preliminary experience with the m-Womac Index in hip and knee OA patients. [J] . Bellamy N, Wilson C, Hendrikz J, Inflammopharmacology . 2009,第2期

机译：使用细胞技术的电子数据捕获（EDC）：对临床试验和实践的意义，以及髋和膝OA患者的m-Womac指数的初步经验。
3. Electronic Data Capture (EDC) using cellular technology: Implications for clinical trials and practice, and preliminary experience with the m-Womac® Index in hip and knee OA patients [J] . N. Bellamy, C. Wilson, J. Hendrikz, Inflammopharmacology . 2009,第2期

机译：使用细胞技术的电子数据捕获（EDC）：对髋关节和膝关节OA患者的m-Womac ®指数的临床试验和实践意义以及初步经验
4. Using a Call Centre for Data Mining and Data Capturing - Pilot Study Using Glasgow Coma Outcome Scale in Head Injured Patients [C] . Teenu XAVIER, Metilda ROBIN, Deepak AGRAWAL International Congress in Nursing Informatics . 2016

机译：使用呼叫中心进行数据挖掘和数据捕获 - 使用Glasgow Coma结果在头部受伤患者中的试验研究
5. A comparison of paper -based data submission to remote data capture for minimizing data entry errors in cancer clinical research. [D] . Meadows, Beverly Jane. 2006

机译：将纸质数据提交与远程数据捕获进行比较，以最大程度地减少癌症临床研究中的数据输入错误。
6. Validity of mobile electronic data capture in clinical studies: a pilot study in a pediatric population [O] . Belinda von Niederhäusern, Ramon Saccilotto, Sabine Schädelin, 2017

机译：移动电子数据捕获在临床研究中的有效性：在儿科人群中的试点研究
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

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8. Surveys and Investigation Projects as Required by Federal Aid in Wildlife Restoration Act, Missouri: Capture-Recapture Data Analysis and Study Design. Job No. 1: Capture-Recapture Bayesian Analyses for Closed Population Models;Final rept [R] . Wallendorf, M. J., Sheriff, S. L. 2003

机译：密苏里州野生动物恢复法联邦援助所要求的调查和调查项目：捕获 - 再捕获数据分析和研究设计。第1号工作：封闭人口模型的捕获 - 重新捕获贝叶斯分析;最终报告

Electronic data capture using the Womac® NRS 3.1 Index (m-Womac®): a pilot study of repeated independent remote data capture in OA

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