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Mental workload measuring method based on multiple physiological parameter PCA (principal component analysis) merging

A technology of mental load and physiological parameters, applied in the field of medical devices, can solve problems such as limitations and complex collection of physiological parameters

Active Publication Date: 2012-10-17
TIANJIN UNIV
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Problems solved by technology

In addition, due to the relatively complicated collection of certain physiological parameters such as EEG and ERP, it is limited in practical applications.

Method used

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  • Mental workload measuring method based on multiple physiological parameter PCA (principal component analysis) merging
  • Mental workload measuring method based on multiple physiological parameter PCA (principal component analysis) merging
  • Mental workload measuring method based on multiple physiological parameter PCA (principal component analysis) merging

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Embodiment Construction

[0040] A method of determining the weight coefficients of multiple physiological parameters recorded in mental load measurement by principal component analysis (PCA), and fusing the measured values ​​of multiple parameters into one value as the detection index of mental load according to the defined calculation formula is proposed. The technical process is: measure heart rate variability (HRV), pupil diameter, and skin resistance (SR) three physiological parameters, use PCA technology to obtain the weight coefficients of the three parameters, according to the parameter fusion calculation formula MWS (mental workload score) = W 1 P 1 +W 2 P 2 +W 3 P 3 +W 4 P 4 Calculate the parameter fusion score of mental load, and use this value as the measurement index of mental load. The method belongs to a new method of mental load detection in the fields of human-computer interaction and human factors engineering.

[0041] The gist of the present invention is to propose a method f...

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Abstract

The invention relates to the field of medical appliances. In order to effectively improve the accuracy, the simplicity and the convenience of a mental workload measuring system and in order to reach the goal, the invention adopts the technical scheme of providing a mental workload measuring method based on multiple physiological parameter PCA (principal component analysis) merging. The method comprises the following steps that three physiological parameters including the HRV (heart rate variability), the pupil diameter and the SR (skin resistance), the PCA technology is utilized for obtaining weight coefficients of the three parameters, a MWS (mental workload score) is calculated according to a parameter merging calculation formula, the MWS equals to the sum of the products of each parameter and the respective weight, and in addition, the MWS is used as the measuring index of the metal workload. The metal workload measuring method is mainly used for the design and the manufacture of medical appliances.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to a method for measuring mental load based on PCA fusion of multiple physiological parameters applied in the field of medical devices. Background technique [0002] Mental load refers to the amount of attention paid by the operator to achieve the performance standard, which involves the work requirements, time pressure, ability and effort of the operator when completing a certain task, and the frustration when the task is not smooth. Low mental load will make people feel bored and lack of concentration; high-intensity mental load will affect the performance of operators, such a long period of mental load will cause mental fatigue, and fatigue will make people slow in response and low in flexibility , easy to be disturbed by irrelevant information, the error rate increases, and repeated mistakes are made. [0003] Because mental load is a multidimensional concept, there are many ways...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/024A61B3/11
Inventor 李南南明东柯余峰张迪付兰
Owner TIANJIN UNIV
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