Abstract: An analysis method of electrocardiogram (ECG) and the device thereof are provided. The method diagnoses a subject by non-invasive method to see whether the subject is at high risk of high mountain disease (HMD). The ECG analysis method comprises: first, detecting the ECG of the subject; transforming the ECG to obtain a plurality of heart rate variability (HRV) parameters; analyzing the HRV parameters and outputting an analyzed result.

Abstract: A polymerase chain reactor, comprises a temperature measuring system, a temperature controlling system and a human machine operational interface, whereby, the temperature in the course of the polymerase chain reaction detected by a temperature sensor disposed in a reaction tube is converted into an electric signal via analog/digital conversion, this electric signal is transmitted into the microcomputer where it is transformed via an electric signal/temperature transformation program and is then displayed on the operational interface; such that, as the user sets the temperature program for the polymerase chain reaction, the microcomputer can control and adjust based on the reaction temperature program set by the user; and said human machine operational interface can command the microcomputer to output and display a signal such that the operator can select an automatic administration procedure or set condition based on the operation procedure.

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.