The objective of the test procedure is to obtain bio signals from Photoplethysmograph and Electrocardiograph sensors on selected consumer devices and to statistically validate the data for use with a drowsiness estimation method.The method selected for validation uses LF/HF ratio calculated by a set of R-R interval data to estimate drowsiness state of a human. The value LF to HF ratio calculates balance between sympathetic and parasympathetic activity that can be measured from HRV (Heart rate variability) signals. The statistical data collected are processed by using Fast Fourier Transform and HRV frequency domain analysis on a set of test participants.There is a correlation between medical ECG equipment control output and Matlab tool’s HRVAS (Burg) output of data processed from ECG based wearable smart sensor when the LF/HF ratio is calculated in all observed volunteer data. The results for Photoplethysmograph sensors of this test correlate with other tested tools but level of the values is lower, and data from optical biosensor devices which are designed to measure HRV time-domain properties as pulse did not confirm with ECG equipment results for frequency-domain analysis required for use with selected drowsiness estimation method. The result affecting factors are sensor placement, motion artefacts and discrete vendor-specific signal pre-processing of wearable device output data.The following results confirm the use of consumer grade biosensor that produces discretely pre-processed R-R interval data for the frequency based HRV method and application validation against directly processed ECG data from certified medical equipment.
-Expert information in the form of decision or evaluation is often used to solve tasks with the help of artificial intelligence theory and methods.The usage of information has strict requirements for the degree of expert consensus.Unfortunately, the format of calculation of the degree of consensus does not cover in the practice existing spectrum of the task format, so it is necessary adapt a practical task to a theoretical method format. The paper describes one of the methods and research being evaluated.
-To ensure an intellectual operation of the robot in decision-making tasks, its control system must have a knowledge base that encompasses a full set of results in the corresponding field. The knowledge base can be based upon several types of decision-making rules, including sets of production rules, which are best presented in the form of decision tables. The present paper investigates the versions of synthesis of decision tables in the fuzzy environment depending on the mutual relationships between criteria.
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