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News
- PQL @ EMBC 2024 in OrlandoSeveral lab members made their way to Orlando last week for the biggest conference of the year; IEEE Engineering and Medicine Conference (EMBC) in Orlando, Florida, USA. The lab shared various projects including: [High-Resolution Time-Frequency Analysis of EEG Signals for Affective Computing] Yedukondala Rao Veeranki, Hugo F Posada-Quintero [Analyzing Emotional Dynamics: Transition Network Insights from Electrodermal […]Posted on July 25, 2024
- Posada Q Lab in Eindhoven for MeMeA 2024The lab made a showing at the IEEE Medical Measurements & Applications conference in Eindhoven, The Netherlands, presenting work from various lab members including: [Autoencoder based Nonlinear feature extraction from EDA signals for Emotion Recognition] Yedukondala Rao Veeranki, Luis R. Mercado-Diaz and Hugo Posada-Quintero [Electrodermal Activity on the Torso: Identification of Locations for Wearable Belt […]Posted on June 30, 2024
- Subjects for Sleep Deprivation Study Wanted!We are actively recruiting participants for a study seeking to evaluate the effectiveness of transcranial direct current stimulation for recovering cognitive performance after sleep deprivation. It has been proven that the application of a weak electrical current to an area of the brain can safely be used as a fatigue countermeasure to mitigate decrements in […]Posted on May 28, 2024
Posada Q Lab at a Glance
Applied Physiological Signal Processing
1 Principal Investigator
1 Post Doctoral Fellow
5 PhD Students
4 Undergraduate Research Assistants
7 Grants & Awards
ONR, NIUVT, NIH, MOMRP
$3,178,974
Awarded to Date
Lab Mission Statement:
Exploring the multimodal use of physiological signals to monitor, detect, and understand diseases, disorders, and emotions for the improvement of human health and well being.
![Summary of lab layout](https://posada-quintero-lab-engineering.media.uconn.edu/wp-content/uploads/sites/3841/2024/05/Picture1-3.png)
Grants Awarded
Our lab has received grants from a wide range of organizations and foundations
Areas of Interest
Biological Signal Processing, Sleep Deprivation, Machine Learning, Device Development, and more