Abstract
Cardiovascular disease (CVD) is a global public health problem. It is a disease of multifactorial origin, and with this characteristic, having an accurate diagnosis of its incidence is a problem that health personnel face every day. That is why having all the indispensable tools to achieve optimal results is of utmost importance. Time is an essential factor when identifying heart problems, specialists look for and develop options to improve this aspect, which requires a thorough analysis of the patient, electrocardiograms being the factor standard for diagnosis and monitoring of patients. In this paper, we review patents and combined systems for the analysis of existing electrocardiogram signals, specific to cardiovascular diseases. All these methods and equipment have the purpose of giving an accurate diagnosis and a prediction of the presence of CVD in patients with positive risk factors. These are considered as the first diagnostic option, based on the guidelines already established in the field of preventive cardiology. The methodology consists of the searching of specific electrocardiography and cardiovascular disease subjects, taking as a reference the use of various patent databases. A total of 2634 patents were obtained in the consulted databases. Of that total, only 30 patents that met all the previous criteria were considered; furthermore, a second in-depth review of their information was conducted. It is expected that studying and reviewing these patents will allow us to know the variety of tools available for the different pathologies that make up CVD, not only for its immediate diagnosis because, as mentioned, the time factor is decisive for the best forecast but also to allow us to follow up on all the cases that arise, being able to provide a better quality of life to patients with CVD or even being able to lead them to a full recovery.
Subject
Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science
Reference56 articles.
1. Jameson, J.L., Fauci, A.S., Kasper, D.L., Hauser, S.L., Longo, D.L., and Loscalzo, J. (2018). Harrison’s Principles of Internal Medicine, McGraw-Hill. [20th ed.].
2. World Health Organization (2022, January 20). Available online: http://www.who.int/en/.
3. WHO (2022, January 20). World Health Statistics Monitoring Health for the SDGs, Sustainable Development Goals. Available online: https://apps.who.int/iris/handle/10665/332070.
4. Ten things to know about ten cardiovascular disease risk factors;Am. J. Prev. Cardiol.,2021
5. General cardiovascular risk profile for use in primary care: The Framingham heart study;Circulation,2008
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献