Non-Contact Pulse Detector using Video Analytics
K.Swathi1, R. Rahul2, B.Phaninder3
1K.Swathi*, Dept. Of IT,CBIT, Hyderabad, India.
2R. Rahul, Dept. Of IT,CBIT, Hyderabad, India.
3B.Phaninder, Dept. Of IT, CBIT, Hyderabad, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 23, 2020. | Manuscript published on March 10, 2020. | PP: 1597-1600 | Volume-9 Issue-5, March 2020. | Retrieval Number: D2051029420/2020©BEIESP | DOI: 10.35940/ijitee.D2051.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Non-contact pulse detector used for heart beat measurement based on computer vision, where a standard color camera captures the plethysmographic signal and the heart rates are processed and estimated dynamically. It is important that the quantities are taken in a non-invasive manner, which is invisible to the patient. Presently, many methods have been proposed for non-contact measurement. The proposed method based on the computer vision technique is enhanced to overcome the above drawbacks and it requires low computational cost. Many of the hospitals are using surveillance cameras, from these cameras we can monitor the video of the patients waiting in the queue. The camera is attached in the patients’ waiting room and the faces of the patients are monitored. Many factors are considered in the phases of image acquisition, as well as in the plethysmographic signal development, pre-processing and filtering. The pre-filter step uses numerical analysis techniques to cut the signal offset. The proposed method decouples the heart rate from the plethysmographic signal frequency. The proposed system helps in detecting the heart rate of a Patient who is waiting in queue for longer time. Based on the heart rate the seriousness of patient is identified and giving the preference to the patient and treatment will be started, with this the patient will be in safe side.
Keywords: Image Processing, Plethysmographic Signal, Non-invasive, Heart rate.
Scope of the Article: Image Processing and Pattern Recognition