1987Journal of Medical Engineering & TechnologyRequires access

A Low-Power Multichannel Electromyographic Signal Data Acquisition System

P.D. Hortensius, Art Quanbury, S. Onyshko

Open publisher page 4 citations

Abstract

The development of a stand-alone low-power EMG data acquisition system is described. The resulting design operates at low power (approximately 350 mW) and gives four channels of signal measurement with a maximum sampling rate of 10 kHz. Therefore, the data acquisition system described is ideal for low power data acquisition using a microcomputer. The digitized results are available to the microcomputer in a 12 bit signed magnitude form. This system was designed and implemented for use in a microcomputer-based myoelectric limb controller, however, its use is not limited to this application.

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What this paper is about

The development of a stand-alone low-power EMG data acquisition system is described. The resulting design operates at low power (approximately 350 mW) and gives four channels of signal measurement with a maximum sampling rate of 10 kHz. Therefore, the data acquisition system described is ideal for low power data acquisition using a microcomputer. The digitized results are available to the microcomputer in a 12 bit signed magnitude form. This system was designed and implemented for use in a microcomputer-based myoelectric limb controller, however, its use is not limited to this application.

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Available abstract

The development of a stand-alone low-power EMG data acquisition system is described. The resulting design operates at low power (approximately 350 mW) and gives four channels of signal measurement with a maximum sampling rate of 10 kHz. Therefore, the data acquisition system described is ideal for low power data acquisition using a microcomputer. The digitized results are available to the microcomputer in a 12 bit signed magnitude form. This system was designed and implemented for use in a microcomputer-based myoelectric limb controller, however, its use is not limited to this application.

Key concepts: Microcomputer, Data acquisition, SIGNAL (programming language), Power (physics), Computer science, Computer hardware, Sampling (signal processing), Electronic engineering

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