A Mobile Device System for Early Warning of ECG Anomalies
With the rapid increase in computational power of mobile devices the amount of ambient intelligence-based smart environment systems has increased greatly in recent years. A proposition of such a solution is described in this paper, namely real time monitoring of an electrocardiogram (ECG) signal dur...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/6/11031 |
| _version_ | 1811304975398076416 |
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| author | Adam Szczepański Khalid Saeed |
| author_facet | Adam Szczepański Khalid Saeed |
| author_sort | Adam Szczepański |
| collection | DOAJ |
| description | With the rapid increase in computational power of mobile devices the amount of ambient intelligence-based smart environment systems has increased greatly in recent years. A proposition of such a solution is described in this paper, namely real time monitoring of an electrocardiogram (ECG) signal during everyday activities for identification of life threatening situations. The paper, being both research and review, describes previous work of the authors, current state of the art in the context of the authors’ work and the proposed aforementioned system. Although parts of the solution were described in earlier publications of the authors, the whole concept is presented completely for the first time along with the prototype implementation on mobile device—a Windows 8 tablet with Modern UI. The system has three main purposes. The first goal is the detection of sudden rapid cardiac malfunctions and informing the people in the patient’s surroundings, family and friends and the nearest emergency station about the deteriorating health of the monitored person. The second goal is a monitoring of ECG signals under non-clinical conditions to detect anomalies that are typically not found during diagnostic tests. The third goal is to register and analyze repeatable, long-term disturbances in the regular signal and finding their patterns. |
| first_indexed | 2024-04-13T08:17:00Z |
| format | Article |
| id | doaj.art-9684ecb487ee4035aa6912cf2d044b6b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:17:00Z |
| publishDate | 2014-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9684ecb487ee4035aa6912cf2d044b6b2022-12-22T02:54:44ZengMDPI AGSensors1424-82202014-06-01146110311104410.3390/s140611031s140611031A Mobile Device System for Early Warning of ECG AnomaliesAdam Szczepański0Khalid Saeed1AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, 30 Mickiewicza Av., PL-30059, Krakow 004812, PolandAGH University of Science and Technology, Faculty of Physics and Applied Computer Science, 30 Mickiewicza Av., PL-30059, Krakow 004812, PolandWith the rapid increase in computational power of mobile devices the amount of ambient intelligence-based smart environment systems has increased greatly in recent years. A proposition of such a solution is described in this paper, namely real time monitoring of an electrocardiogram (ECG) signal during everyday activities for identification of life threatening situations. The paper, being both research and review, describes previous work of the authors, current state of the art in the context of the authors’ work and the proposed aforementioned system. Although parts of the solution were described in earlier publications of the authors, the whole concept is presented completely for the first time along with the prototype implementation on mobile device—a Windows 8 tablet with Modern UI. The system has three main purposes. The first goal is the detection of sudden rapid cardiac malfunctions and informing the people in the patient’s surroundings, family and friends and the nearest emergency station about the deteriorating health of the monitored person. The second goal is a monitoring of ECG signals under non-clinical conditions to detect anomalies that are typically not found during diagnostic tests. The third goal is to register and analyze repeatable, long-term disturbances in the regular signal and finding their patterns.http://www.mdpi.com/1424-8220/14/6/11031ambient intelligenceECG anomaliesheart anomaly alertECG monitoring for mobile devices |
| spellingShingle | Adam Szczepański Khalid Saeed A Mobile Device System for Early Warning of ECG Anomalies Sensors ambient intelligence ECG anomalies heart anomaly alert ECG monitoring for mobile devices |
| title | A Mobile Device System for Early Warning of ECG Anomalies |
| title_full | A Mobile Device System for Early Warning of ECG Anomalies |
| title_fullStr | A Mobile Device System for Early Warning of ECG Anomalies |
| title_full_unstemmed | A Mobile Device System for Early Warning of ECG Anomalies |
| title_short | A Mobile Device System for Early Warning of ECG Anomalies |
| title_sort | mobile device system for early warning of ecg anomalies |
| topic | ambient intelligence ECG anomalies heart anomaly alert ECG monitoring for mobile devices |
| url | http://www.mdpi.com/1424-8220/14/6/11031 |
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