Goal:- The goal of this project is to develop methods for integrating fNIRS neuroimaging with the body’s motion dynamics to further movement disorders. We propose a novel framework which uses the functional coupling between the activities of the brain and muscle, which can be measured as cortico-muscular coherence (CMC). People Involved: Mohammadreza Abtahi, Nicholas Constant, […]
Continue reading "NSF CRII: Brain-Body Sensor Fusion (Completed)"Goal: This project performs multimodal neuroimaging noninvasively by placing an array of electrodes performing functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) concurrently. People Involved: Manob Jyoti Saikia, Gozde Cay, Joshua Gyllinsky Funding: NSF EPSCoR Research Infrastructure #1539068 Duration: Aug 1, 2015 – Dec 31, 2020 Collaborations: Walter Besio, Biomedical Engineering, University of Rhode Island Publications: […]
Continue reading "RII Track-2 FEC: Innovative, Broadly Accessible Tools for Brain Imaging, Decoding, and Modulation"
Goal: The goal of this project is to develop an understanding for the interplay of social context and physiology on psychological outcomes in trauma-exposed adolescents. We designed and tested a smartwatch-based system called Android EAR to monitor the physiological and personal environment indicators with PTSD. People Involved: Cody Goldberg, Matthew Constant, Andrew Peltier, Joshua Gyllinsky […]
Continue reading "Understanding the interplay of social context and physiology on psychological outcomes in trauma-exposed adolescents"Goal: The overall goal of this development project is to combine elements of two efficacious interventions into a mobile health (mHealth) App for informal dementia caregivers. The investigators will conduct a 3-month feasibility trial of the newly-developed CARE-Well App in 40 dementia caregivers to establish acceptability and feasibility of the intervention, study procedures, and outcome […]
Continue reading "R21: Translating a Dementia Caregiver Intervention into a Mobile Application"
Goal: This project aims to pursue research on developing smart textiles that are appropriate for clinically-valid medical screening of movement conditions especially those seen in Parkinson’s disease. The goal is to investigate how the complex structure of smart textiles (due to electrical circuits, conductive threads and layers, and base fabric) can be made at scale […]
Continue reading "PFI-TT: Smart Gloves for Remote Clinical Assessments and Treatment Monitoring"
Goal: The goal of this is to develop techniques for embedding sensors into garments to provide feedback for a deep-brain stimulation therapy. We propose a novel method for collecting reliable fine-grain monitoring from the limbs of the patient through gloves and socks. We show how the use of clothing can provide an intuition for medical […]
Continue reading "CAREER: CPS: Internet of Wearable E-Textiles for Telemedicine"