Low-cost, open source bioelectric signal acquisition system

被引：0

作者：

Mastinu, Enzo ^{[1
]}

Hakansson, Bo ^{[2
]}

Ortiz-Catalan, Max ^{[1
,3
]}

机构：

[1] Chalmers Univ Technol, Dept Signals & Syst, Biomechatron & Neurorehabil Lab, Gothenburg, Sweden

[2] Chalmers Univ Technol, Dept Signals & Syst, Gothenburg, Sweden

[3] Integrum AB, Gothenburg, Sweden

来源：

2017 IEEE 14TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN) | 2017年

基金：

瑞典研究理事会;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Bioelectric potentials provide an intuitive source of control in human-machine interfaces. In this work, a low-cost system for bioelectric signals acquisition and processing was developed and made available as open source. A single module based on the ADS1299 (Texas Instruments, USA) can acquire up to 8 differential or single-ended channels with a resolution of 24 bits and programmable gain up to 24 V/V. Several modules can be daisy-chained together to increase the number of input channels. Opto-isolated USB communication was included in the design to interface safely with a personal computer. The system was designed to be compatible with a low-cost and widely available microcontroller development platform, namely the Tiva LaunchPad (Texas Instruments, USA) featuring an ARM Cortex-M4 core. We made the source files for the PCB, firmware, and high-level software available online (GitHub: ADS_BP). Digital processing was used for float conversion and filtering. The high-level software for control and acquisition was integrated into an already existent open source platform for advanced myoelectric control, namely BioPatRec. This integration provide a complete system for intuitive myoelectric control where signal processing, machine learning, and control algorithms are used for the prediction

引用

页码：19 / 22

页数：4

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