Biomedical-signal-based high-speed data processing system

Abstract

The invention discloses a biomedical-signal-based high-speed data processing system. According to the system hardware, an MSP430F169 type MCU is used as a control unit to control work of the whole circuit; and a TMS320VC5402 type DSP is used as an operation processing unit to carry out logic operation. In order to develop the operation capacity of the DSP effectively, the system employs a FLASH chip and an SRAM chip to expand the data space and the storage space of the DSP; and a CPLD is used for controlling mapping of the storage space, thereby achieving an objective of dynamic control on a mapping address. According to the design, industrialized, practical and miniaturized requirements can be met; the high-speed data processing function is realized based on dual-chip configuration of a single-chip microcomputer and the DSP; requirements on the calculation capacity and the real-time performance during the biomedical signal processing can be met; and the abundant expansion interfaces are left, so that post-stage function extension can be carried out conveniently.

Description

technical field [0001] The invention belongs to the field of biomedical signal processing, and in particular relates to a high-speed data processing system based on biomedical signals. The high-speed data processing function is realized by the configuration of a single-chip microcomputer and a DSP double chip, which meets the requirement of computing power and real-time performance in biomedical signal processing. Requirements, and a rich expansion interface is left to facilitate the expansion of later functions. Background technique [0002] With the progress of society, people's life pressure is increasing day by day with the quickening pace of life. A high-paced and high-intensity lifestyle causes people to ignore changes in their physical conditions, often delaying the best time for treatment. Therefore, early, active and active prevention has become the direction of medical device development. Embedded medical equipment can detect the body anytime and anywhere. It has...

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Problems solved by technology

The brainstem auditory evoked response signal is less than 1mV; the noise is strong, because the human body’s own signal is weak, and the human body is a complex whole, so the signal is easily interfered by noise; the frequency range is generally low, except for the slightly higher spectral components of the heart sound signal. The frequency spectrum of other electrophysiological signals is generally low; the randomness is strong, and the biomedical signal comes from the organism. Since the organism is a huge and complex system, and the physiological activities of the organism are intertwined and interpenetrated with each other, this is The non-stationary nature of biomedical signals is caused, but a large amount of biological information is hidden in this non-stationary

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