AFIB TRACKFIT

 

WHAT IS ATRIAL FIBRILLATION?

Atrial fibrillation, often called AFib or AF, is the most common type of treated heart arrhythmia. An arrhythmia is when the heart beats too slowly, too fast, or in an irregular way.

When a person has AFib, the normal beating in the upper chambers of the heart (the two atria) is irregular, and blood doesn’t flow as well as it should from the atria to the lower chambers of the heart (the two ventricles) this causes improper leak of blood which leads to blood clotting .

Blood clots are a dangerous complication of atrial fibrillation that can lead to stroke.

In atrial fibrillation, the chaotic heart rhythm can cause blood to collect in the heart's upper chambers (atria) and form clots. If a blood clot in the left upper chamber (left atrium) breaks free from the heart area, it can travel to the brain and cause a stroke.

The risk of stroke from atrial fibrillation increases as you grow older. Other health conditions also may increase your risk of a stroke due to A-fib, including:

Blood thinners are commonly prescribed to prevent blood clots and strokes in people with atrial fibrillation.

AFib may happen in brief episodes, or it may be a permanent condition.



 

AFIB TRACK FIT

So to avoid stroke we have prototyped a wearable device that monitors continuously to detect Atrial fibrillation.

The circuit was designed using a msppg monitoring module a optical biosensor Click board™ which can be used for the heart-rate monitoring (HRM), as well as the peripheral capillary oxygen saturation monitoring (SpO2). This Click board™ employs a very sensitive analog front-end IC with high dynamic range, which ensures accurate and reliable readings. This analog front-end IC is coupled with the optical front end, which consists of the top-of-the-class integrated BIOFY® sensor, which features two green LEDs, one red LED, one infrared LED, and two photodiodes (PD), offering very accurate HRM and SpO2 readings. 

The module consists of an analog front end and the optical front end. The main task of the analog front-end IC is to drive LEDs and condition the signal received by the photodiode (PD), by eliminating the background noise and ambient light influence on the measurement. Besides that, it also provides conversion of the measurement into digital information, which can be used by the node MCU wifi module. For the conversion to be accurate, the analog front-end device must not introduce any artifacts into the readings. 


WhatsApp Video 2023-04-30 at 03.31.58.mp4

stage 1 prototype

stage 2 prototype

stage 3 prototype

final model

we sent the data to Google sheet acquired by the sensor. The Google sheet data is then fed into the Matlabs app designer to process the data and show the results.

 We then displayed our device at a product expo conducted in our college .

The pictures down below shows the GUI that I made using matlab app designer showing the graph and status of normal sinus rhythm and probal afib when particular data is fed.