Dhaval Solanki

Assistant Teaching Profesor

University of Rhode Island

United States

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Dhaval Solanki is an Assistant Teaching Professor at the University of Rhode Island, USA. His research areas include wearable technology development, health monitoring systems, and the application of machine learning in telehealth. Recent publications highlight his work on e-textile devices for remote healthcare, sEMG-based control systems, and the challenges of monitoring technologies in clinical settings.

Articles (14)

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2025

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2020

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2020

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2020

Collaborators (6)

Izabela Ciesielska-Wrobel

University of Rhode Island

UNITED STATES

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Anirban Dutta

University of Lincoln

UNITED KINGDOM

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Kunal Mankodiya

Associate Professor of Biomedical Engineering

University of Rhode Island

UNITED STATES

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Nicole Nugent

Brown University

UNITED STATES

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Vignesh Ravichandran

Doctoral Researcher, Wearable Biosensing Lab & Teaching Assistant

University of Rhode Island

UNITED STATES

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Krishna Venkatasubramanian

UNITED STATES

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Dhaval Solanki

Research Interests

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Articles (14)

Development and Assessment of a Soft Wearable for sEMG-Based Hand Grip Detection and Control of a Virtual Environment

Characterizing the Impedance Properties of Dry E-Textile Electrodes Based on Contact Force and Perspiration

iTex Gloves: Design and In-Home Evaluation of an E-Textile Glove System for Tele-Assessment of Parkinson’s Disease

Designing a Clinician-Centered Wearable Data Dashboard (CarePortal): Participatory Design Study

Understanding the Challenges Nurses Encounter with Monitoring Technologies in a NICU

Textile Knitted Stretch Sensors for Wearable Health Monitoring: Design and Performance Evaluation

Towards a telehealth infrastructure supported by machine learning on edge/fog for Parkinson's movement screening

NeoWear: An IoT-connected e-textile wearable for neonatal medical monitoring

Recent Advancement in Sleep Technologies: A Literature Review on Clinical Standards, Sensors, Apps, and AI Methods

Investigating the feasibility of cerebellar transcranial direct current stimulation to facilitate post-stroke overground gait performance in chronic stroke: a partial least-squares regression approach.

Feasibility of combining functional near-infrared spectroscopy with electroencephalography to identify chronic stroke responders to cerebellar transcranial direct current stimulation—a computational modeling and portable neuroimaging methodological study

Deep Cerebellar Transcranial Direct Current Stimulation of the Dentate Nucleus to Facilitate Standing Balance in Chronic Stroke Survivors—A Pilot Study

Adaptive Treadmill-Assisted Virtual Reality-Based Gait Rehabilitation for Post-Stroke Physical Reconditioning—a Feasibility Study in Low-Resource Settings

Adaptive Treadmill-Assisted Virtual Reality-Based Gait Rehabilitation for Post-Stroke Physical Reconditioning—a Feasibility Study in Low-Resource Settings

Collaborators (6)

Izabela Ciesielska-Wrobel

Anirban Dutta

Kunal Mankodiya

Nicole Nugent

Vignesh Ravichandran

Krishna Venkatasubramanian

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