The baffling issues of Brugada electrocardiogram pattern for anaesthesiologist!

Rajesh, MC; Kondi, Sushma; Ramdas, EK

doi:10.4103/ija.ija_459_17

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…Through ECG monitoring, IoT technology has initiated potential utility in the primary identification of heart issues. IoT has been used to monitor ECG in numerous studies in the past [25,[33][34][35][36][37][38]. A wireless information assemblage system and a receiving processor are the two components of the IoT-based ECG monitoring system proposed in the study reported in ref.…”

Section: Ecg Sensor Monitoringmentioning

confidence: 99%

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A Topical Review on Enabling Technologies for the Internet of Medical Things: Sensors, Devices, Platforms, and Applications

Arefin,

Rahman,

Hasan

et al. 2024

Micromachines

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The Internet of Things (IoT) is still a relatively new field of research, and its potential to be used in the healthcare and medical sectors is enormous. In the last five years, IoT has been a go-to option for various applications such as using sensors for different features, machine-to-machine communication, etc., but precisely in the medical sector, it is still lagging far behind compared to other sectors. Hence, this study emphasises IoT applications in medical fields, Medical IoT sensors and devices, IoT platforms for data visualisation, and artificial intelligence in medical applications. A systematic review considering PRISMA guidelines on research articles as well as the websites on IoMT sensors and devices has been carried out. After the year 2001, an integrated outcome of 986 articles was initially selected, and by applying the inclusion–exclusion criterion, a total of 597 articles were identified. 23 new studies have been finally found, including records from websites and citations. This review then analyses different sensor monitoring circuits in detail, considering an Intensive Care Unit (ICU) scenario, device applications, and the data management system, including IoT platforms for the patients. Lastly, detailed discussion and challenges have been outlined, and possible prospects have been presented.

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Section: Ecg Sensor Monitoringmentioning

confidence: 99%

“…There is a need to create an automated categorization system that makes use of the data offered by IoT gadgets. Many academics have recently used deep learning models to serve a variety of healthcare applications [9,15,25,[33][34][35][36][37][38]52,103,[114][115][116].…”

Section: Case Study Of Covid-19 Assistance Using Iomtmentioning

confidence: 99%

A Topical Review on Enabling Technologies for the Internet of Medical Things: Sensors, Devices, Platforms, and Applications

Arefin,

Rahman,

Hasan

et al. 2024

Micromachines

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“…with great interest, and we would like to highlight the omission of a recent multicentric document on this specific topic, not reported in this manuscript that we think could be useful to the scientific community. [ 1 2 ]…”

mentioning

confidence: 99%

Anaesthetic management of patients with Brugada syndrome

Dendramis¹,

Baranchuk

Brugada

2018

Indian J Anaesth

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“…Thank you for the comments on the article, especially from the pioneers who have contributed a lot in defining the disease. [ 1 2 ] It is not only the selection of drugs and anaesthesia techniques that are ill defined but also issues such as the need to do electrophysiologic studies and automatic cardioverter defibrillator insertion before surgery in asymptomatic patients with Brugada electrocardiogram pattern. With a paucity of large multicentric studies on the subject, we feel the decision should be individualised depending on the extent and duration of procedure.…”

mentioning

confidence: 99%