Brain monitoring system of blood and oxygen lacking based on heart rate variability signals

A heart rate variability and monitoring system technology, applied in the system field of the medical device technology field, can solve the problems of too many sensors, no proposal, neglect of the high-speed processing function of the microprocessor, etc., to achieve the effect of strong portability and low instrument cost

Inactive Publication Date: 2007-09-12
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, this invention ignores the high-speed processing function of the microprocessor, does not use the high-speed processing function of the microprocessor to analyze the ECG signal, and does not propose

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  • Brain monitoring system of blood and oxygen lacking based on heart rate variability signals
  • Brain monitoring system of blood and oxygen lacking based on heart rate variability signals
  • Brain monitoring system of blood and oxygen lacking based on heart rate variability signals

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Embodiment Construction

[0013] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: the present embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following implementations example.

[0014] Existing studies believe that the human body's ECG signals are affected by sympathetic and parasympathetic nerves, and when the human brain is in a state of ischemia and hypoxia, the human body's ECG signals will show related characteristics. By extracting the heart rate variation signal from the electrocardiographic signal and performing a related non-linear processing method on the heart rate variation signal, the relevant non-linear feature quantity can be obtained. These nonlinear characteristic quantities can play a role in judging and warning whether the brain is in a ...

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Abstract

The cerebral ischemia and anoxia monitoring system based on heart rate variance signal as one kind of medical equipment includes a signal extracting module, a cardioelectric signal treating module, and an outer communication and memory module. The signal extracting module receives cardioelectric signals from three body surface electrodes, amplifies the signals, performs isolating and analog filtering treatment and feeds the treated cardioelectric signals to the cardioelectric signal treating module; the cardioelectric signal treating module completes A/D conversion, digital filtering, heart rate variance signal extraction, non-linear parameter calculation and threshold judgment before transmitting the treated signal to the outer communication and memory module; and the outer communication and memory module completes the display, storing and communication on the signal. The present invention has low cost and other features.

Description

technical field [0001] The invention relates to a system in the technical field of medical devices, in particular to a cerebral ischemia and hypoxia monitoring system based on heart rate variation signals. Background technique [0002] According to the statistics of the World Health Organization (WHO), the number of patients with encephalopathy has risen sharply, ranking among the first few of various diseases. In my country, 1.2 to 1.5 million people are newly diagnosed with complete cerebral apoplexy every year, 800,000 to 1,000,000 people die, about 75% of the survivors become disabled, and the recurrence rate within 5 years is as high as 41%. Brain damage caused by cardiac arrest, suffocation, etc. is called ischemic encephalopathy (ischemic encephalopathy). 5 minutes of ischemia and hypoxia can cause the death of neurons. Although there are a series of compensatory adjustment mechanisms in the body (such as the existence of the arterial ring at the base of the brain, ...

Claims

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Application Information

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IPC IPC(8): A61B5/0452A61B5/00H04L12/00H04L12/46
Inventor 朱贻盛吴文庆邱意弘
Owner SHANGHAI JIAO TONG UNIV
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