An improved front end design for bioelectrical signal acquisition

Ding, Jianwen; Zhang, Limin; Yan, Feng; Li, Xiang; Wang, Jun; Guo, Liang-Zhi

doi:10.1109/icsens.2017.8234003

Cited by 2 publications

(1 citation statement)

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“…These signals are generated by the membrane potential, which consists of the potential difference that exists between the inner surface and the outer surface of the cells. Bioelectric signals are the most important biomedical signals, because most biological systems have excitable cells and can be studied by means of them [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Cost-Effective Didactic Prototype for the Acquisition of Biomedical Signals

2018

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This paper presents the implementation of a cost-effective didactic prototype, which was designed as a tool for theoretical and practical learning in the biomedical instrumentation area for engineering students. The prototype provides integrated hardware and software components that allow online acquisition, processing, and visualization of electrocardiographic (ECG), electroencephalographic (EEG), electromyographic (EMG), and electrooculographic (EOG) signals, as well as measurements of bio-impedance from the skin. A control system using an Arduino Uno board and the PIC16F877A and PIC18F2550 microcontrollers was implemented. This control system allows selecting the type of module; the lead to be used in the ECG module; the input channel for the EEG, EMG, and EOG modules; and controlling the signal generator for the bioimpedance module. In addition, a graphical interface was developed in LabVIEW, in which all the acquired biomedical signals can be visualized in real time. It is highlighted as a novelty the modular implementation of the prototype, the incorporation of five modules in a single device and the graphical user-friendly interface. The final result is a low-cost device capable of processing and visualizing bioelectric signals through an interface in LabVIEW, which also allows the user to interact with each of the stages.

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Section: Introductionmentioning

confidence: 99%