A Non-EEG Biosignals Dataset for Assessment and Visualization of Neurological Status

@article{Birjandtalab2016ANB,
  title={A Non-EEG Biosignals Dataset for Assessment and Visualization of Neurological Status},
  author={J. Birjandtalab and D. Cogan and M. Pouyan and M. Nourani},
  journal={2016 IEEE International Workshop on Signal Processing Systems (SiPS)},
  year={2016},
  pages={110-114}
}
  • J. Birjandtalab, D. Cogan, +1 author M. Nourani
  • Published 2016
  • Computer Science
  • 2016 IEEE International Workshop on Signal Processing Systems (SiPS)
  • Neurological assessment can be used to monitor a person's neurological status. In this paper, we report collection and analysis of a multimodal dataset of Non-EEG physiological signals available in the public domain. We have found this signal set useful for inferring the neurological status of individuals. The data was collected using non-invasive wrist worn biosensors and consists of electrodermal activity (EDA), temperature, acceleration, heart rate (HR), and arterial oxygen level (SpO2). We… CONTINUE READING
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