Welcome to the InfoSci Platform
Reference Hub2
MATLAB-Based Real-Time Data Acquisition Tool for Multimodal Biofeedback and Arduino-Based Instruments: Arduino Firmata Data Acquisition (AfDaq)

MATLAB-Based Real-Time Data Acquisition Tool for Multimodal Biofeedback and Arduino-Based Instruments: Arduino Firmata Data Acquisition (AfDaq)

Kulbhushan Chand, Arun Khosla
Copyright: © 2022 |Volume: 15 |Issue: 1 |Pages: 20
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781683180340|DOI: 10.4018/JITR.299922
Cite Article Cite Article

MLA

Chand, Kulbhushan, and Arun Khosla. "MATLAB-Based Real-Time Data Acquisition Tool for Multimodal Biofeedback and Arduino-Based Instruments: Arduino Firmata Data Acquisition (AfDaq)." JITR vol.15, no.1 2022: pp.1-20. http://doi.org/10.4018/JITR.299922

APA

Chand, K. & Khosla, A. (2022). MATLAB-Based Real-Time Data Acquisition Tool for Multimodal Biofeedback and Arduino-Based Instruments: Arduino Firmata Data Acquisition (AfDaq). Journal of Information Technology Research (JITR), 15(1), 1-20. http://doi.org/10.4018/JITR.299922

Chicago

Chand, Kulbhushan, and Arun Khosla. "MATLAB-Based Real-Time Data Acquisition Tool for Multimodal Biofeedback and Arduino-Based Instruments: Arduino Firmata Data Acquisition (AfDaq)," Journal of Information Technology Research (JITR) 15, no.1: 1-20. http://doi.org/10.4018/JITR.299922

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

AfDaq is an open-source, plug and play, MATLAB based tool that offers the capabilities of multi-channel real-time data acquisition, visualization, manipulation, and local saving of data for offline analysis. The MATLAB Arduino package suffers from serious timing jitter during real-time data acquisition. This timing jitter associated with four main commands (Analog Read, Digital Read, Digital Write and PWM Set) available in MATLAB Arduino package is statistically analyzed and a simple post-hoc timing jitter correction mechanism is proposed to acquire data points with high timing accuracy. The benchmark of the final program is conducted at various sampling rates for multichannel acquisition with 10 Hz comes as the maximum sampling rate for 5 channel recording. In the end, a use case of the developed tool for physiological data acquisition in multimodal biofeedback is presented. The software tool, data, and analysis scripts that support the findings of this study are released as an open-source project to support the replicability and reproducibility of the research.