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ASIC chip for electrocardiosignal QRS wave real-time detection

An ASIC chip, ECG signal technology, used in applications, diagnostic recording/measurement, medical science, etc., can solve problems such as difficult to achieve data processing capabilities, dynamic power consumption, etc.

Inactive Publication Date: 2014-08-27
FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is difficult for extreme value pair detection and zero-crossing detection hardware to achieve such data processing capabilities. Although the data throughput can be improved by increasing the operating frequency, the increase in clock frequency means the increase in dynamic power consumption

Method used

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  • ASIC chip for electrocardiosignal QRS wave real-time detection
  • ASIC chip for electrocardiosignal QRS wave real-time detection
  • ASIC chip for electrocardiosignal QRS wave real-time detection

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Embodiment Construction

[0021] The ecgData is 12bits (4bits integer, 8bits decimal), which is input to the FIR module according to the frequency of ecgClk. The present invention adopts the ECG data of MIT, so the frequency of ecgClk is 360Hz.

[0022] When new data is input, the FIR module starts to work, and the structure of the FIR filter is as follows figure 2 as shown, i represents the number of iterations, x ( n ) indicates the input signal. The present invention uses a multiplier-adder to implement FIR filtering in an iterative manner. The order of the filter is 14, and the bit width of the coefficient is 16 bits. Among them, the upper 2 bits are the integer part, and the lower 14 bits are the fractional part. The specific floating-point and fixed-point values ​​are shown in Table 1:

[0023] Table 1 Filter Coefficients

[0024]

[0025] The filtered output is y ( n ), the bit width is 16 bits, where the upper 7 bits are the integer part and the lower 9 bits are the fractional part. ...

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Abstract

The invention belongs to the technical field of integrated circuit design, and particularly relates to an ASIC chip for electrocardiosignal QRS wave real-time detection. The ASIC chip comprises an FIR filter module and a QRS wave detection module. The FIR filter is implemented in a loop iteration mode, so that the area and power consumption of the chip are reduced. The QRS wave detection module mainly comprises an extreme point detection submodule, a zero crossing point detection submodule and a dynamic threshold updating submodule. By the adoption of virtual buffer memory space, the area of the extreme point detection submodule is decreased. The midpoint corresponding to an extreme value is used for replacing a zero crossing point, algorithm complexity and detection delay are lowered, and detection performance is guaranteed. The dynamic threshold is updated, a simple circuit structure is used, and the detection performance is improved. By means of the ASIC chip for electrocardiosignal QRS wave real-time detection, QRS wave real-time detection can be achieved, the requirements for low cost and low power consumption are met, and the ASIC chip can be well applied to an electrocardiosignal monitoring system.

Description

technical field [0001] The invention belongs to the technical field of integrated circuit design, and in particular relates to an ASIC chip for real-time detection of QRS waves of electrocardiographic signals. Background technique [0002] Due to the aggravation of aging and the lack of medical resources, the demand for telemedicine monitoring system is increasingly urgent. As an important part of telemedicine monitoring, real-time analysis of ECG signals is extremely important for the monitoring of chronic diseases. QRS wave detection is the primary problem of ECG signal analysis and research. Accurate QRS wave detection is an important basis for diagnosing arrhythmia and a prerequisite for further detection and analysis of ECG signals. [0003] It is an effective method for QRS wave detection to extract the features of the ECG signal first, and then use the threshold method to detect. The conversion can be done by using standard DSP module, which performs regular filter p...

Claims

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0472A61B5/0428A61B5/308A61B5/366
Inventor 曾晓洋邹垚韩军翁新钎
Owner FUDAN UNIV
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