1 / 12

Emotions from PNS system

Emotions from PNS system. Lindsay Brown, R&D Engineer. Monitoring your emotions. Measuring peripheral signals. Monitoring ANS responses. Arousal Monitoring Real-time arousal monitor. Test subject watching movie. Instantaneous arousal. Arousal profile.

pelham
Download Presentation

Emotions from PNS system

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Emotions from PNS system • Lindsay Brown, R&D Engineer

  2. Monitoring your emotions Measuring peripheral signals

  3. Monitoring ANS responses Restricted

  4. Arousal MonitoringReal-time arousal monitor Test subject watching movie Instantaneous arousal Arousal profile Input signals: ECG, respiration, SkT & GSR Restricted

  5. Arousal monitoringUse-case: chess players Bad move! Fluctuations during the game Approaching chessmate • Can we gauge the arousal of a chess player? • Test game against a computer • Player commenting his game afterwards Restricted

  6. Red: During stressorBlue: At rest Red: PatientsBlue: Controls Δ Δ Stress monitoringANS as a predictor for stress? • Comparing patients and healthy subjects may provide new tools for assisting diagnosis of stress disorders Monitoring physiological responses during stressful events shine light on possible physiological markers for stress Restricted

  7. Trapezius EMG as a predictor of stress • The proposed protocol successfully induces stress • Visual Analog Scores (stress) are significantly higher for stress than rest periods (p = 6E-5) • EMG features significantly differ between stress and rest periods • RMS EMG values are significantly higher (p = 0.0262) • The number of EMG gaps is significantly lower (p = 0.0006) • Mean frequency is significantly lower (p = 0.0186) Body Area Networks for Emotion Monitoring

  8. Emotions from eegtowards real-time valence monitoring High ratio = positive emotions Low ratio = negative emotions Body Area Networks for Emotion Monitoring

  9. Longitudinal recordings in natural environments • Motivation • Measuring and managing stress requires monitoring of trends in bio-signals over large time period (weeks, months, years) • Bring technology from lab to daily-life environments • Challenges • Coping with motion artifact requires an integrated approach • Achieve longer autonomy through the adoption of ultra-low power electronics • Achieve wearability through new integration technologies • Achieve robustness in detecting then compensating motion artifact Body Area Networks for Emotion Monitoring

  10. IMEC ECG NECKLACEWireless, connected, ‘on-the-move’ • Wearable|with adjustable electrode leads • Robust| monitoring in every-day life situations • Low-power| 24/7 recording for 1 week • Smart|instantaneous RR and HRV analysis Imec inside: bio-potential ASIC & algorithms Restricted

  11. IMEC connects your healthManage your vitals from your mobile • BAN interface to Android Phone • 24/7 connectivity to public network • Instantaneous alert • Emails • Text messages • BAN data available globally over the internet • Real-time check • Link to EPR Restricted

More Related