BITtalino: A biosignal acquisition system based on the arduino

BIODEVICES 2013 - Proceedings of the International Conference on Biomedical Electronics and Devices

Volumn , Issue , 2013, Pages 261-264

  Alves, Ana Priscila ^a   Silva, Hugo ^a   Lourenço, André ^a,b   Fred, Ana ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOA   (Portugal)

Author keywords

Arduino; Biomedical instrumentation; Biometrics; ECG; Signal acquisition

Indexed keywords

ARDUINO; BIOMEDICAL APPLICATIONS; BIOMEDICAL INSTRUMENTATION; BIOMETRIC RECOGNITION; ECG SIGNAL ACQUISITIONS; EXPERIMENTAL EVALUATION; HARDWARE AND SOFTWARE COMPONENTS; SIGNAL ACQUISITIONS;

ELECTROCARDIOGRAPHY; HARDWARE; MEDICAL APPLICATIONS; SIGNAL ANALYSIS;

BIOMETRICS;

EID: 84877973219     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Biel, L., Petterson, O., Phillipson, L., and Wide, P. (2001). ECG analysis: A new approach in human identification. IEEE Transactions on Instrumentation and Measurement, 50(3): 808-812.
2. Google ADK (2011). Accessory development kit. http://developer.android. com/tools/adk/adk2.html.
3. Lourenço, A., Silva, H., and Fred, A. (2011). Unveiling the biometric potential of Finger-Based ECG signals. Computational Intelligence and Neuroscience.
4. Medicarduino (2012). Medical and health related projects with arduino. http://medicarduino.net/.
5. Silva, H., Lourenco, A., Lourenco, R., Leite, P., Coutinho, D., and Fred, A. (2011). Study and evaluation of a single differential sensor design based on electro-textile electrodes for ecg biometrics applications. In Sensors, 2011 IEEE, pages 1764-1767.