Automatic diagnosing method for autonomic nervous system and device thereof
First Claim
1. An automatic diagnosing method, in which a non-invasive approach is used to diagnosis a function of an autonomic nervous system, the automatic diagnosing method comprising:
- inputting a basic information of an user;
measuring a heart beat signal of the user;
transforming the heart beat signal into a plurality of heart rate variability (HRV) parameters;
performing at least a natural logarithm calculation on the heart rate variability parameters to obtain a plurality of natural logarithmic heart rate variability parameters;
using a plurality of reference values in a data base to calculate and optimize the natural logarithmic heart rate variability parameters and to output a plurality of standard deviations of the natural logarithmic HRV parameters;
matching the basic information and the standard deviations with a corresponding diagnosis description statement from a lookup table; and
outputting an examination report that incorporates the heart rate variability parameters, the diagnosis description statement, the basic information and the standard deviations.
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Abstract
An automatic diagnosing method for the autonomic nervous system and a device thereof are described. The device comprises a sensor, a computing device and an output device. An electrode of the sensor is adhered to the skin surface of a subject to detect and output the heart beat signal of the subject. The computing device collects the heart beat signal from the electrodes through the signal collection leads. The computing device further amplifies, filters, digitizes and transforms the heart beat signals into a plurality of heart rate variability parameters. Further, calculations, validation and analysis are performed on these parameters. After selecting a corresponding diagnosis description statement from a lookup table in a database, an examination report, which incorporates the diagnosis description statement and the heart rate variability parameters is output.
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Citations
19 Claims
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1. An automatic diagnosing method, in which a non-invasive approach is used to diagnosis a function of an autonomic nervous system, the automatic diagnosing method comprising:
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inputting a basic information of an user;
measuring a heart beat signal of the user;
transforming the heart beat signal into a plurality of heart rate variability (HRV) parameters;
performing at least a natural logarithm calculation on the heart rate variability parameters to obtain a plurality of natural logarithmic heart rate variability parameters;
using a plurality of reference values in a data base to calculate and optimize the natural logarithmic heart rate variability parameters and to output a plurality of standard deviations of the natural logarithmic HRV parameters;
matching the basic information and the standard deviations with a corresponding diagnosis description statement from a lookup table; and
outputting an examination report that incorporates the heart rate variability parameters, the diagnosis description statement, the basic information and the standard deviations. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. An automatic diagnosing method for an autonomic nervous system (ANS), in which a non-invasive approach is used for diagnosing the autonomic nervous system, the method comprising
a sensing device, comprising a plurality of electrodes and a plurality of signal collection leads, wherein these electrodes are adhered to a subject to detect and output a heart rate signal of the subject; -
a computing device, comprising a data base, wherein the computing device receives the heart beat signal through the signal collection leads, amplifies, filters, digitizes and transforms the heart beat signal to obtain a plurality of heart rate variability (HRV) parameters, performs a calculation and a statistical validation on the HRV parameters, and matches the HRV parameters with a corresponding diagnosis description statement from a look up table in the database; and
an output device, coupled to the computing device to receive and output an examination report that incorporates the diagnosis description statement and the HRV parameters. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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Specification