Advanced artificial intelligence in heart rate and blood pressure monitoring for stress management
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ORIGINAL RESEARCH
Advanced artificial intelligence in heart rate and blood pressure monitoring for stress management Qiang Lin1,2,3 · Tongtong Li1,2 · P. Mohamed Shakeel4 · R. Dinesh Jackson Samuel5 Received: 29 August 2020 / Accepted: 25 October 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The stress factor has been considered as a primary cause that affects a variety of human health conditions nowadays. Medical studies indicate that long-term stress can result in behavioral and cardiovascular problems directly or indirectly. Many individuals still disregard their signs of stress and do not take appropriate steps before severe physiological and emotional issues arise. In several types of research, the physiological signal obtained by heart rate (HR) and blood pressure (BP) monitoring is used for the assessment of mental stress, and this can be suggested to inform an individual about her (his) state of mind due to its non-invasiveness. Therefore this paper proposes an Artificial Intelligence-based fuzzy assisted Petri net (AI-FAS) method for stress assessment on HR and BP monitoring. The normal HR can be determined by the interval between two successive QRS complexes in the ECG waveform. However, acknowledgment of ECG patterns faces problems because of pathological response and noise caused by time-variant physiology. The variance of the heart rate is measured with the analysis of time and frequency. Fuzzy assisted Petri nets in evaluating the stress assessment for HR. BP monitoring for stress management is achieved by the transient time of each pulse. The strength of fuzzy systems indicates interpretability versus the accuracy of two different requirements. Furthermore, the findings indicate that the performance rate of 93.55%, precision 89.01%, recall 89.50%, adaption 89.901% has been numerically validated in stress management. Keywords Artificial intelligence · Fuzzy logic · Heart rate · Blood pressure · Healthcare · Stress detection system
1 Introduction
* Tongtong Li [email protected] 1
School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730124, Gansu, China
2
Key Laboratory of Streaming Data Computing Technologies and Application, Northwest Minzu University, Lanzhou 730124, Gansu, China
3
Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou 730030, Gansu, China
4
Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia
5
Faculty of Technology, Design and Environment, Visual Artificial Intelligence Lab, Oxford Brookes University, Oxford, UK
Stress is a sense of physical or emotional pressure, which often arises from various reasons and can frustrate one to be angry or nervous. Specifically, stress is the response of human nerve system to a threat or order (Dhabhar et al. 2018). The stress management problem stress will increase to depression if continuously overlooked. Permanent dep
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