Intelligent blurry electrocardiogram calculation and measurement sensor

Abstract

The invention discloses an intelligent blurry electrocardiogram calculation and measurement sensor, which comprises a compact-type vital sign signal virtual instrument system sensor hung on the human body, a portable blurry electrocardiogram sensor host and a portable blurry electrocardiogram sensor host base. The intelligent blurry electrocardiogram calculation and measurement sensor provides on-line acquired reliable and high-fidelity 12 lead electrocardiogram data with amplitude shaft mark and timer shaft mark, GPS information with position vector, speed vector and time vector and active incident information with human-computer interaction vector and time vector, even function of the whole blurry electrocardiogram for electrocardiogram doctors by adopting neural fuzzy controller technology and wireless real-time communication technology.

Description

technical field [0001] The invention relates to the field of medicine, in particular to a fuzzy electrocardiogram intelligent measurement sensor. Background technique [0002] Cardiovascular disease has become an important cause of harm to human health and death, and the current detection of cardiovascular disease mainly relies on the detection of ECG signals, especially ECG technology. [0003] In 1903, after Dutch biologist Dr. Williem Einthoven creatively discovered the basic principle of the electrocardiographic phenomenon, he developed the technology to record the electrical activity of the heart and invented the conventional electrocardiogram (abbreviated as EKG), for which he won the Nobel Prize . "Conventional electrocardiogram" time-domain analysis has high precision, but the recording time is very short, which is a short-term type. Its output signal can only be used for ECG waveform printing, and it is impossible to perform long-term semi-automatic analysis. In 1...

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Problems solved by technology

[0008] 3. The parameter dimensions of the ECG data collected by Holter's digital recorder are too few, and basically there is no other information for analysis except the signal amplitude measurement, even if the automatic recognition rate of the most modern analysis system is relatively low. Low, thus requiring semi-automated analysis by an ECG physician with some experience and familiarity with the clinical significance of common cardiac arrhythmias

Although this invention has carried out great exploration and innovation in high-fidelity technology, it has basically solved the above-mentioned first shortcoming. It can not only detect tiny ECG signals such as P waves and T waves with high fidelity, but also detect Tracing and copying the time-domain signal of the entire cardiac cycle including the QRS complex, and relying on the advancement of storage technology can also solve the problem of long-term recording, but a new problem has been exposed: the sampling selected by the recorder The higher the frequency, the smaller the distortion error will be when the discrete digital signal is restored to a continuously changing signal, but the requirement for the storage space capacity of the recorder is higher, and the signal processing time is longer

Unfortunately, this kind of medical equipment is also an offline "signal recorder" rather than an online "signal sensor". It can neither transmit ECG signals online in real time, nor does the recorded signal have a time axis.

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