Wireless ambulatory ECG

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Wireless ambulatory electrocardiography (or wireless ambulatory ECG) is a type of ambulatory electrocardiography with recording devices that use wireless technology, such as Bluetooth and smartphones, for at-home cardiac monitoring (monitoring of heart rhythms). These devices are generally recommended to people who have been previously diagnosed with arrhythmias and want to have them monitored, or for those who have suspected arrhythmias and need to be monitored over an extended period of time in order to be diagnosed. [1]

Wireless ambulatory ECGs work in a way similar to a regular ECG by measuring the electrical potential of the heart through the skin. The data is saved on an application on a smartphone, and then uploaded to a computer through Bluetooth or cloud technologies. The information can also be sent through these technologies or through email to a doctor or cardiac technician. [2]

Wireless ambulatory ECGs are able to provide voice alarm messages when cardiac abnormalities occur, such as bradycardia, and can record this information and provide a screen prompt for the patient to view the data. The devices can also store mass amounts of ECG data on the phone, replay the ECG readings at a high speed, and have a low-voltage alarm function to not waste the battery life. These characteristics of the devices are seen as benefits in comparison to current ambulatory ECG monitoring equipment such as the Holter monitor. [3]

Recent technologies

References

  1. Ting, W., Jun-da, H., Chenjie, G., Jia, Z., and Wei, Y. (2010) "Wireless monitoring system based on Bluetooth smart phones". ICNDS. 2:648–651.
  2. Ting, W., Jun-da, H., Chenjie, G., Jia, Z., and Wei, Y. (2010) "Wireless monitoring system based on Bluetooth smart phones". ICNDS. 2:648–651.
  3. Ting, W., Jun-da, H., Chenjie, G., Jia, Z., and Wei, Y. (2010) "Wireless monitoring system based on Bluetooth smart phones". ICNDS. 2:648–651.
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  9. AliveCor. 2014. AliveCor Incorporated. Web. February 10th, 2014.
  10. Lau, J., Lowres, N., Neubeck, L., Brieger, D., Sy, R., Galloway, C., Albert, D., and Friedman, S. (2013) "Performance of an Automated iPhone ECG Algorithm to Diagnose Atrial Fibrillation in a Community AF Screening Program (SEARCH-AF)". HeartlungCirc. 22:S261–S266.
  11. Garabelli, P., Albert, D., and Reynolds, D. (2012) "Accuracy and Novelty of an Inexpensive iPhone-based Event Recorder". Presented at the Heart Rhythm Conference.
  12. "iHealth". 2014. iHealth Labs. Web. February 10, 2014.
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