Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Shabaan, Muhammad; Arshid, Kaleem; Yaqub, Muhammad; Feng, Jinchao; Zia, Maryam; Bojja, Giridhar Reddy; Iftikhar, Muazzam; Ghani, Usman; Ambati, Loknath Sai; Munir, Rizwan

doi:10.1186/s12911-020-01199-7

Cited by 42 publications

(25 citation statements)

References 68 publications

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“…Through this system, we can predict the infection and its avoidance. It consists of four components that help us to escape this viral infection [27].…”

Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Blockchain and ANFIS empowered IoMT application for privacy preserved contact tracing in COVID-19 pandemic

Aslam

Javed

Chakraborty

et al. 2021

Pers Ubiquit Comput

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Life-threatening novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), also known as COVID-19, has engulfed the world and caused health and economic challenges. To control the spread of COVID-19, a mechanism is required to enforce physical distancing between people. This paper proposes a Blockchain-based framework that preserves patients' anonymity while tracing their contacts with the help of Bluetooth-enabled smartphones. We use a smartphone application to interact with the proposed blockchain framework for contact tracing of the general public using Bluetooth and to store the obtained data over the cloud, which is accessible to health departments and government agencies to perform necessary and timely actions (e.g., like quarantine the infected people moving around). Thus, the proposed framework helps people perform their regular business and day-to-day activities with a controlled mechanism that keeps them safe from infected and exposed people. The smartphone application is capable enough to check their COVID status after analyzing the symptoms quickly and observes (based on given symptoms) either this person is infected or not. As a result, the proposed Adaptive Neuro-Fuzzy Interference System (ANFIS) system predicts the COVID status, and K-Nearest Neighbor (KNN) enhances the accuracy rate to 95.9% compared to state-of-the-art results.

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“…Through this system, we can predict the infection and its avoidance. It consists of four components that help us to escape this viral infection [27].…”

Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Blockchain and ANFIS empowered IoMT application for privacy preserved contact tracing in COVID-19 pandemic

Aslam

Javed

Chakraborty

et al. 2021

Pers Ubiquit Comput

View full text Add to dashboard Cite

show abstract

“… 11 Some CONFIRM respondents cited problems with Bluetooth connections and software updating problems, which also have been reported in other studies of smartphone app technology. 12 Notwithstanding the seeming convenience associated with smartphone apps, the proportion of patients reporting that their transmission system was convenient was similar. 13 LINQ and CONFIRM patients also reported similar rates of confidence that transmissions were reaching the medical team despite the differences in transmitting system interface.…”

Section: Discussionmentioning

confidence: 99%

Comparing patient and family usability of insertable cardiac monitors in a pediatric cohort: Patient external activator versus smartphone transmission

et al. 2021

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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“…An ECG based monitoring system for heart abnormality detection using wearable sensors is analyzed in [4] . It also discusses devices based on PPG signals that are non-invasive and portable.…”

Section: Related Workmentioning

confidence: 99%

A review on remote health monitoring sensors and their filtering techniques

Rajeswari¹,

J²,

Simha³

et al. 2021

Global Transitions Proceedings

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The novel coronavirus outbreak has affected over 177 million people in around 218 countries and Territories. Covid-19 is life-threatening for the elderly and for those with chronic health conditions. This has set out a state of panic where people need to constantly monitor their health. The objective of this paper is to review the various sensor components, filtering algorithms, classification techniques, existing methods and technologies that play an important role in developing a safe remote health monitoring device. Comparison of sensor devices is done to understand the features of available products in the market. An extensive survey of ECG monitoring, lung acoustic signals and how COVID-19 affects this vital signature, thermal sensors, and pulse oximeters are presented. The need for a device in this situation to cater to the health issues of the people is necessary.

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Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Cited by 42 publications

References 68 publications

RETRACTED ARTICLE: Blockchain and ANFIS empowered IoMT application for privacy preserved contact tracing in COVID-19 pandemic

RETRACTED ARTICLE: Blockchain and ANFIS empowered IoMT application for privacy preserved contact tracing in COVID-19 pandemic

Comparing patient and family usability of insertable cardiac monitors in a pediatric cohort: Patient external activator versus smartphone transmission

A review on remote health monitoring sensors and their filtering techniques

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