Wireless Body Area Network for Heart Attack Detection
(2016) In IEEE Antennas and Propagation Magazine 58(5). p.84-92- Abstract
- This article describes a body area network (BAN) for measuring an electrocardiogram (ECG) signal and transmitting it to a smartphone via Bluetooth for data analysis. The BAN uses a specially designed planar inverted F-antenna (PIFA) with a small form factor, realizable with low-fabricationcost techniques. Furthermore, due to the human body's electrical properties, the antenna was designed to enable surface-wave propagation around the body. The system utilizes the user's own smartphone for data processing, and the built-in communications can be used to raise an alarm if a heart attack is detected. This is managed by an application for Android smartphones that has been developed for this system. The good functionality of the system was... (More)
- This article describes a body area network (BAN) for measuring an electrocardiogram (ECG) signal and transmitting it to a smartphone via Bluetooth for data analysis. The BAN uses a specially designed planar inverted F-antenna (PIFA) with a small form factor, realizable with low-fabricationcost techniques. Furthermore, due to the human body's electrical properties, the antenna was designed to enable surface-wave propagation around the body. The system utilizes the user's own smartphone for data processing, and the built-in communications can be used to raise an alarm if a heart attack is detected. This is managed by an application for Android smartphones that has been developed for this system. The good functionality of the system was confirmed in three real-life user case scenarios. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4105f578-65b1-4be9-8e0d-f52bcf016602
- author
- Wolgast, Georg ; Ehrenborg, Casimir LU ; Israelsson, Alexander ; Helander, Jakob LU ; Johansson, Edvard and Månefjord, Hampus LU
- organization
- publishing date
- 2016-10-13
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Electrocardiography, Body area networks, Antenna measurements, Electrodes, Bluetooth, Dielectrics, Transceivers, Biomedical signal processing
- in
- IEEE Antennas and Propagation Magazine
- volume
- 58
- issue
- 5
- pages
- 9 pages
- publisher
- IEEE Computer Society
- external identifiers
-
- scopus:84992390315
- wos:000386236100012
- ISSN
- 1045-9243
- DOI
- 10.1109/MAP.2016.2594004
- language
- English
- LU publication?
- yes
- id
- 4105f578-65b1-4be9-8e0d-f52bcf016602
- date added to LUP
- 2016-10-28 13:54:02
- date last changed
- 2022-03-24 02:34:57
@article{4105f578-65b1-4be9-8e0d-f52bcf016602, abstract = {{This article describes a body area network (BAN) for measuring an electrocardiogram (ECG) signal and transmitting it to a smartphone via Bluetooth for data analysis. The BAN uses a specially designed planar inverted F-antenna (PIFA) with a small form factor, realizable with low-fabricationcost techniques. Furthermore, due to the human body's electrical properties, the antenna was designed to enable surface-wave propagation around the body. The system utilizes the user's own smartphone for data processing, and the built-in communications can be used to raise an alarm if a heart attack is detected. This is managed by an application for Android smartphones that has been developed for this system. The good functionality of the system was confirmed in three real-life user case scenarios.}}, author = {{Wolgast, Georg and Ehrenborg, Casimir and Israelsson, Alexander and Helander, Jakob and Johansson, Edvard and Månefjord, Hampus}}, issn = {{1045-9243}}, keywords = {{Electrocardiography; Body area networks; Antenna measurements; Electrodes; Bluetooth; Dielectrics; Transceivers; Biomedical signal processing}}, language = {{eng}}, month = {{10}}, number = {{5}}, pages = {{84--92}}, publisher = {{IEEE Computer Society}}, series = {{IEEE Antennas and Propagation Magazine}}, title = {{Wireless Body Area Network for Heart Attack Detection}}, url = {{https://lup.lub.lu.se/search/files/73282625/IEEE_pre_print.pdf}}, doi = {{10.1109/MAP.2016.2594004}}, volume = {{58}}, year = {{2016}}, }