Optimized health parameters using PSO: a cost effective rfid based wearable gadget with less false alarm rate

The motive of contriving the proposed research was originated after recognizing some false alarm in measuring health parameters and practical issues in hospitals for example approachability and presence of patient at designated place for the evaluation of the health parameters like Blood pressure, s...

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Main Authors: Ahmed Khan, Talha (Author), Junaid Tahir, M. (Author), Alam, Muhammad (Author), A. Kadir, Kushsairy (Author), Shahid, Zeeshan (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2019-07-01.
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001 ijeecs18509_12561
042 |a dc 
100 1 0 |a Ahmed Khan, Talha  |e author 
100 1 0 |e contributor 
700 1 0 |a Junaid Tahir, M.  |e author 
700 1 0 |a Alam, Muhammad  |e author 
700 1 0 |a A. Kadir, Kushsairy  |e author 
700 1 0 |a Shahid, Zeeshan  |e author 
245 0 0 |a Optimized health parameters using PSO: a cost effective rfid based wearable gadget with less false alarm rate 
260 |b Institute of Advanced Engineering and Science,   |c 2019-07-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/18509 
520 |a The motive of contriving the proposed research was originated after recognizing some false alarm in measuring health parameters and practical issues in hospitals for example approachability and presence of patient at designated place for the evaluation of the health parameters like Blood pressure, sugar, body temperature, pulse and some other parameters.  The manual entry of the data into the systems have been become a critical problem. To vanquish this problem, a wearable gadget has been designed, so that a patient can carry it feasibly. Various approaches like Bayesian classifier has been applied to minimize the false alarm. Fuzzy logic, Kalman filtering, extended Kalman filtering, support vector machine, multi-layer perceptron, adaptive neuro fuzzy inference system and cuckoo search have been applied to eliminate the false alarm and give the best optimum solution. Results have proved that PSO worked betted as its convergence time is less than the others algorithms and produced best optimum value for the body vitals. Moreover, PSO has been applied to achieve the best optimal results and to increase the performance.  Monitoring of heart pulse rate and body temperature readings that were recorded in database were then tested and validated by comparing digital thermometer and digital inflator. PSO will converge and give the global best position of data by updating the velocity. Results proved that PSO produced better results by optimizing with better accuracy and precision and can be acknowledged as cost-effective solution. 
540 |a Copyright (c) 2019 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Health care, patient location, RFID, cardiac arrhythmia, body temperature 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 15, No 1: July 2019; 230-239 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v15.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/18509/12561 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/18509/12561  |z Get fulltext