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  Published Paper Details:

  Paper Title

STUDY ON A TECHNIQUE OF IOT AND MACHINE LEARNING BASED UNREMITTING BLOOD PRESSURE ESTIMATION

  Authors

  Visnu D,  Satish bindal,  Jayanthi R,  Mohankumar G.B

  Keywords

Blood pressure, Electrocardiogram, Photoplethysmogram, Pulse transit time, Internet of Things.

  Abstract


High blood pressure, also referred as, hypertension could be a silent killer which increases the danger of diseases like heart attack, kidney disease, metabolic syndrome and blindness. It can also cause premature death. It's necessary to monitor the blood pressure continuously, so as to stop diseases and death. The normal method of pressure measurement uses sphygmomanometer with cuff which is not an effective method to monitor the blood pressure continuously. This paper involves a different method to estimate the pressure continuously and non-invasively. We employ a technique of determining pulse transit time (PTT) parameter from obtaining the Electrocardiogram (ECG) and photoplethysmogram (PPG). The PTT is time taken by the blood pressure waves to move from one point to another point of arteries. The PTT helps to estimate the blood pressure in unremitting manner. We implement this method through low cost and reliable embedded systems design to simultaneously measure the ECG and PPG signal. Those signals are further processed to determine the PTT by applying peak detection algorithms. The PTT is further used to estimate the blood pressure. The IoT helps to monitor blood pressure and heart rate through the android/web applications.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2005346

  Paper ID - 194855

  Page Number(s) - 2686-2691

  Pubished in - Volume 8 | Issue 5 | May 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Visnu D,  Satish bindal,  Jayanthi R,  Mohankumar G.B,   "STUDY ON A TECHNIQUE OF IOT AND MACHINE LEARNING BASED UNREMITTING BLOOD PRESSURE ESTIMATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 5, pp.2686-2691, May 2020, Available at :http://www.ijcrt.org/papers/IJCRT2005346.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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