Wearable computing for patients with coronary diseases: Gathering efforts by comparing methods

Rocha, Viviane Z.; Borza, Paul Nicolae; Correia, J.; Gonçalves, Gil; Puscas, Ana Maria; Seromenho, R.; Mascioletti, Alessandro; Picano, A.; Cocorada, Sorin; Carp, Marius

doi:10.1109/aqtr.2010.5520712

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…What still remains a big challenge is proper processing of the acquired data, especially avoiding inaccurate classifying of the rhythm-related cardiac events, which can be caused by artifacts or unsatisfactory efficient decision-making algorithms [59,60]. Different solutions have been proposed to improve the results in this field.…”

Section: "I-wear"-intelligent Wear-general Conceptsmentioning

confidence: 99%

A Review of the Commercially Available ECG Detection and Transmission Systems—The Fuzzy Logic Approach in the Prevention of Sudden Cardiac Arrest

Lewandowski

2021

Micromachines

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Sudden cardiac death (SCD) constitutes a major clinical and public health problem, whose death burden is comparable to the current worldwide pandemic. This comprehensive review encompasses the following topics: available rescue systems, wearable electrocardiograms (ECG), detection and transmission technology, and a newly developed fuzzy logic algorithm (FA) for heart rhythm classification which is state-of-the art in the field of SCD prevention. Project “PROTECTOR”, the Polish Rapid Transtelephonic ECG to Obtain Resuscitation for development of a rapid rescue system for patients at risk of sudden cardiac arrest (SCA), is presented. If a lethal arrhythmia is detected on the basis of FA, the system produces an alarm signal audible for bystanders and transmits the alarm message along with location to the emergency medical center. Phone guided resuscitation can be started immediately because an automated external defibrillator (AED) localization map is available. An automatic, very fast diagnosis is a unique feature of the PROTECTOR prototype. The rapid detection of SCA is based on a processor characterized by 100% sensitivity and 97.8% specificity (as measured in the pilot studies). An integrated circuit which implements FA has already been designed and a diagnosis is made within few seconds, which is extremely important in ischemic brain damage prophylaxis. This circuit could be implemented in smart implants (Sis).

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Section: "I-wear"-intelligent Wear-general Conceptsmentioning

confidence: 99%

A Review of the Commercially Available ECG Detection and Transmission Systems—The Fuzzy Logic Approach in the Prevention of Sudden Cardiac Arrest

Lewandowski

2021

Micromachines

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“…In the group of projects that have a more broader scope we have the mobile monitoring systems that mainly use the architecture presented in 1. The Heartronic project (Rocha et al, 2010) consists of an array of sensors wore by the user that communicate, using Bluetooth, with a smartphone. This smartphone sends the raw data to a remote server where it will be processed, opposed to the presented solution in this paper where the data is treated on the smartphone itself, before being sent to the server.…”

Section: State Of the Artmentioning

confidence: 99%

BioSigMA - Bio Signal Monitoring Application

Ferreira¹,

Gonçalves

2013

Proceedings of the International Conference on Biomedical Electronics and Devices

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The aging of the population causes an increased prevalence of chronic diseases, such as cardiovascular disease (which is the leading cause of death in developed countries) and dementia. Because of the high morbidity and mortality rates associated with this group of diseases, it is necessary to continuously monitor the vital signs of people at risk. Nowadays this monitoring is carried out by a Holter monitor, which acquires electrocardiogram data for a long period of time, so that it can be analyzed later. However, this is not a real-time monitoring. There is another type of monitor, which stores the data and communicates with a remote server, allowing realtime continuous monitoring. The latter system requires a specific platform and, as result, the patients have to adapt to yet another device in their daily activities. Information and communication technologies (ICT) have had a remarkable role in the management of health care distribution and social work, and can be applied on daily monitoring of patients, providing a timely opportunity for medical staff to intervene. In the ICT field we have witnessed the rise of smartphones as a gadget with great mobility, connectivity and processing capacities. They are the ideal device to take patient monitoring to the next level, replacing the need for specific platforms for each type of monitoring, and facilitating the daily lives of patients. This ability of smartphones becomes more and more apparent with the increasing number in new medical applications that profit from its characteristics. Therefore, our goal is to create an application for smartphones which takes advantage of the portability and processing capacities of smartphones to assess cardiac function, using bio signals captured by a device with bluetooth interface and the sensors on the smartphone, and subsequent processing with a medical telemetry system.

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