چكيده به لاتين
Heart rate is an important indicator of functional status, psycho-emotional status, and overall health conditions. Normally, the heart rate is taken from an electrocardiogram or by using a heart rate measuring device. Both mentioned methods require the direct connection of the corresponding sensor with the body, in contact methods to track human vital signs, there are common techniques that due to the use of contact sensors, the body can suffer inflammation or damage. Also, the intervention of the patient in the treatment can cause infection and contamination of the patient. In addition, patients may feel uncomfortable when facing the sensor or wires that are placed on their body, so providing a method to estimate the heart rate without touching the sensor to the body can be useful and fruitful. Non-contact heart rate estimation is very useful for detecting driver drowsiness or abnormal state of people. Photoplethysmography imaging (iPPG) has been proposed for the non-contact assessment of heart rate. iPPG tracks changes in the intensity of light reflected by the skin, but instead of a detector with infrared sensors, a video camera is used. As a result, iPPG is calculated from the sequence of images that are usually obtained from the face area. In the proposed method, we are looking to capture videos of different people's faces with a selected camera and then estimate the heart rate with proper processing approaches on these videos based on the ICA method to improve the accuracy of the estimated heart rate. The proposed method has put the ICA algorithm as the main basis of our work and we are trying to estimate the heart rate with higher accuracy than the presented articles by providing suitable pre-processing and using the latest achievements in video and image processing technology. In this method, the heart rate is calculated with a combination of ICA and EMD methods by databases including sequences of video images of people's faces in two states, resting and talking. Then the obtained results are compared with two methods based on ICA and Green's method. The obtained heart rate results show that the EMD method, along with the ICA method, has a higher accuracy than the previous methods and has provided acceptable results with an error of 0.91.
