Evaluation of the Interference’s Impact of Cooperative Surveillance Systems Signals Processing for Healthcare

Abdul-Hussein, M. K.; Стрельницький, О. О.; Обод, І. І.; Свид, І. В.; Alrikabi, H.

Публікація:
Evaluation of the Interference’s Impact of Cooperative Surveillance Systems Signals Processing for Healthcare

dc.contributor.author	Abdul-Hussein, M. K.
dc.contributor.author	Стрельницький, О. О.
dc.contributor.author	Обод, І. І.
dc.contributor.author	Свид, І. В.
dc.contributor.author	Alrikabi, H.
dc.date.accessioned	2022-04-01T14:12:33Z
dc.date.available	2022-04-01T14:12:33Z
dc.date.issued	2022
dc.description.abstract	Patient signals produced from a physical device, such as electrocardiography (ECG), which records the electrical activity of the heart, are vulnerable to keep noise due to various physical constraints of acquisition devices. It is critical for the detection and diagnosis of a variety of diseases. An ECG signal should be displayed as clean and clear as feasible due to its relevance in assisting physicians and doctors in making appropriate judgments. ECG is vulnerable to many types of noise because it is an electrical signal. To improve the quality of assistance for consumers Info a surveillance system by cooperative surveillance systems, high-quality data processing by the observed surveillance systems is required, which predetermines the requirement for high noise immunity of the latter. At the same time, the basics of building cooperative surveillance systems as a network of two-channel asynchronous information communication systems which include numeral of transmitting and receiving process using diverse frequency limits for reception and transmission, failure-prone open single-channel queuing systems, and request signals do not allow to provide the required the noise resistance of the systems under consideration. This paper first gives a characterization of request and interference signal flows in cooperative surveillance systems and briefly examines the features of request signals and their effect on the immunity of cooperative surveillance systems. Then, it calculates the noise resistance of the demand signals of the cooperative surveillance systems for the probabilities of errors: signal skipping; First- and second-degree false alarms in the case of unrelated events, unintended and intra-system impulse interferences in the request channel.	uk_UA
dc.identifier.citation	M. K. Abdul-Hussein, O. Strelnytskyi, I. Obod, I. Svyd and H. Alrikabi, "Evaluation of the Interference’s Impact of Cooperative Surveillance Systems Signals Processing for Healthcare", International Journal of Online and Biomedical Engineering (iJOE), vol. 18, no. 03, pp. 43-59, 2022. doi: 10.3991/ijoe.v18i03.28015	uk_UA
dc.identifier.issn	2626-8493
dc.identifier.other	https://doi.org/10.3991/ijoe.v18i03.28015
dc.identifier.uri	https://online-journals.org/index.php/i-joe/article/view/28015
dc.identifier.uri	https://openarchive.nure.ua/handle/document/20028
dc.language.iso	en	uk_UA
dc.publisher	International Journal of Online and Biomedical Engineering (iJOE)	uk_UA
dc.subject	Signal for Healthcare	uk_UA
dc.subject	Surveillance Systems	uk_UA
dc.subject	Impulse interferences	uk_UA
dc.title	Evaluation of the Interference’s Impact of Cooperative Surveillance Systems Signals Processing for Healthcare	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication