Juan David Romero Ante, Ph.D. from Miguel Hernandez University in Spain, is visiting our lab as Post Doc for the Fall 25′ assessing with biosignal device development and testing. Welcome to UConn Juan!
Last week, Dr. Posada-Quintero and Javier represented the lab while participating in the IEEE Engineering Medicine and Biology Society’s annual conference in the Netherlands! Together they presented the advances in our work:
“Exploring Deep Learning in Electrodermal Activity Recording for Continuous Detection of Pain Intensity Level”
Javier O. Pinzon-Arenas,Youngsun Kong,Wendy A. Henderson, Xiaomei Cong, Ming-Hui Chen, Bin Feng, and Hugo F. Posada-Quintero
Congratulations to Bolu for wining the Best Paper Award (Student) at the American Society for Engineering Education Conference – Well done! Extended wishes to the rest of the project team!
Paper Presented: A Novel Platform for Evaluating Nurses Trust in AI-based Biomedical Tools
Josef Kundrát, Ph.D., University of Ostrava, is visiting our lab as Fulbright Research Scholar while he conducts work on Trust in Artificial Intelligence.
We are thrilled to announce that our team has been awarded an NIH-RO1 grant of over $3 million to develop a novel wearable device for objective quantification of visceral pain.
In collaboration with Dr. Bin Feng from UConn BME, Dr. Xiaomei Cong from Yale, and Dr. Wendy Henderson from UPenn, our team will be working on the project titled “Objective Integrated Multimodal Electrophysiological Index for Qualification of Visceral Pain.”
This innovative project aims to create a wearable device that objectively measures and quantifies visceral pain in patients with irritable bowel syndrome (IBS). By integrating data from electrodermal activity (EDA), electrocardiogram (ECG), and electromyogram (EMG), the device will employ artificial intelligence to generate a multimodal biomarker known as the OIME index. This index will enhance our ability to detect pain events, assess pain levels, stratify IBS patients, and evaluate the effectiveness of pain management interventions. The ultimate goal is to develop a more accurate and objective tool for diagnosing and treating IBS-related pain, which has the potential to significantly improve patient outcomes and pave the way for new non-drug therapies.
PQL gains a new PhD graduate student as we welcome Camila Jimenez-Wong to the team!
The 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 Monitors]
Riley McNaboe and Hugo Posada-Quintero
Collaborating students from Universidad Nacional de Colombia, Colombia, also presented:
[Design of a Smartphone-based clinical Electroretinogram recording system]
Nicolas Cordoba, Samuel Daza, Paul Constable, Hugo Posada-Quintero