Here Is A New Smartphone App That Can Detect Stroke
Researches have found that ‘atrial fibrillation’ which is a dangerous medical condition leading to stroke can be detected with your Smart Phone.
‘Atrial fibrillation’ is a common type of abnormal heart rhythm that can lead to stroke and this can be detected using a low cost application in your Smart Phone. This app makes use of your phones accelerometer and gyroscope to check for atrial fibrillation
The study has appeared in the journal of European Society of Cardiology, which consists of a team of researchers from University of Turku, Finland. This society has developed a low-cost app that uses the smartphone’s accelerometer and gyroscope to detect atrial fibrillation with the help of an existing hardware.
Tero Koivisto, vice-director of the Technology Research Center (TRC), University of Turku, Finland has been quoted as saying, “Atrial fibrillation is a dangerous medical condition present in two per cent of the global population and accounting for up to seven million strokes per year.”
Study also suggests that almost 70 percent of strokes caused by reportedly by ‘Atrial fibrillation’ can be avoided with pre-emptive medication. As it often occurs randomly it is difficult to detect by visiting a doctor.
Relatively large and costly electrocardiogram (ECG) devices are there which patients can take home for long-term monitoring but they require a patch or wires, but continues contact with electrodes, which can lead to skin irritations.
The current method of detecting ‘Atrial fibrillation’ is unfeasible for vulnerable group specially people above 60 years.
The study consisted of 16 patients who have been affected by ‘atrial fibrillation’ in addition to 20 recordings from healthy people who were used as control group to validate the data developed by algorithm and then tested ability of a smartphone to detect ‘atrial fibrillation’ without the help of any additional hardware.
As to detect ‘atrial fibrillation’, a smartphone was placed on the chest of a patient, and then phone’s accelerometer’s and gyroscope’s recordings were taken.
Koivisto added, “We measured the actual motion of the heart via miniature accelerometer’s and gyroscopes that are already installed in smartphones. No additional hardware is needed and people just need to install an app with the algorithm we developed.”
He added, “Multiple features such as auto correlation and spectral entropy are then extracted from the pre-processed data. Finally, a machine learning algorithm (KSVM) is used to determine if the patient suffers from atrial fibrillation.”
As to find this out an individual needs to place the phone on their chest, and then record the accelerometer and gyroscope measurement, and then use the app to analyse the result.