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

  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)},
  • 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
    29 Citations
    Tensor Decomposition of Non-EEG Physiological Signals for Visualization and Recognition of Human Stress
    Classification of Neurological States from Biosensor Signals Based on Statistical Features
    • 1
    • Highly Influenced
    Unsupervised motion artifact detection in wrist-measured electrodermal activity data
    • 11
    • PDF
    A State-Space Approach for Detecting Stress from Electrodermal Activity
    • 18
    • PDF
    Sparse Deconvolution of Electrodermal Activity via Continuous-Time System Identification
    • 14
    • PDF
    A Bayesian Filtering Approach for Tracking Arousal From Binary and Continuous Skin Conductance Features
    • 3
    • PDF
    A Novel Filter for Tracking Real-World Cognitive Stress using Multi-Time-Scale Point Process Observations
    • D. S. Wickramasuriya, R. Faghih
    • Computer Science, Medicine
    • 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    • 2019
    • 6
    • PDF


    A wrist-worn biosensor system for assessment of neurological status
    • 20
    Multi-Biosignal Analysis for Epileptic Seizure Monitoring
    • 49
    • PDF
    Nonlinear dimension reduction for EEG-based epileptic seizure detection
    • 31
    • PDF
    Unsupervised EEG analysis for automated epileptic seizure detection
    • 10
    Emotional reactivity monitoring using electrodermal activity analysis in individuals with suicidal behaviors
    • 8
    Dimension Reduction by Local Principal Component Analysis
    • 600
    • PDF
    Visualizing Data using t-SNE
    • 14,590
    • PDF
    EM algorithms of Gaussian mixture model and hidden Markov model
    • G. Xuan, Wei Zhang, P. Chai
    • Computer Science
    • Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)
    • 2001
    • 102
    • PDF