Peyman Servati

Professor

The University of British Columbia

Canada

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About

Dr. Peyman Servati is a Professor at the University of British Columbia, Canada. His research focuses on innovative technologies in wearable health monitoring, which includes the development of biosensors and electrochemical systems. Recent articles highlight his work on multifunctional textile-based sensors, rehabilitation systems for stroke recovery, and advanced materials for physiological signal monitoring.

Articles (16)

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2025

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2024

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2024

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2023

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2023

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2023

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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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2022

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2022

Collaborators (8)

Lyndia Wu

Assistant Professor

The University of British Columbia

CANADA

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Hossein Heidari

Assistant Professor

University College London

UNITED KINGDOM

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Naznin Virji-Babul

Assistant Professor

The University of British Columbia

CANADA

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Shahriar Mirabbasi

The University of British Columbia

CANADA

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H.F. Machiel Van der Loos

Associate Professor

The University of British Columbia

CANADA

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W Ben Mortenson

Professor

The University of British Columbia

CANADA

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Feng Jiang

Assistant Professor

The University of British Columbia

CANADA

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Ali Khademhosseini

UNITED STATES

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Peyman Servati

Research Interests

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About

Articles (16)

Compact Fractal-Shaped Frequency Selective Surface for Distant Liquid Sensing With Multiple Sensitive Spots

Correlating Motion Artifacts in Wet and Dry Electrodes With Head Kinematics During Physical Activities in Ambulatory EEG Monitoring

Intense-Light Sensing Yarns Achieved by Interfused Inorganic Halide Perovskite Nanofiber Network

Stretchable, self-healing, biocompatible, and durable ionogel for continuous wearable strain and physiological signal monitoring

Perspectives of users for a future interactive wearable system for upper extremity rehabilitation following stroke: a qualitative study

Screen-Printed Textile-Based Electrochemical Biosensor for Noninvasive Monitoring of Glucose in Sweat

Electronic textiles for electrocardiogram monitoring: A review on the structure–property and performance evaluation from fiber to fabric

SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence

Learning Hand Kinematics for Parkinson's Disease Assessment Using a Multimodal Sensor Glove

Programmable 3D bifurcated braided structures for system-adaptable and integrated triboelectric sensing

Airline Point-of-Care System on Seat Belt for Hybrid Physiological Signal Monitoring

Cesium Lead Halide Perovskite Decorated Polyvinylidene Fluoride Nanofibers for Wearable Piezoelectric Nanogenerator Yarns

Flexible patch with printable and antibacterial conductive hydrogel electrodes for accelerated wound healing

Graphene Oxide Nanofiltration Membrane Based on Three-Dimensional Size-Controllable Metal-Organic Frameworks for Water Treatment

Mn, B, N co-doped graphene quantum dots for fluorescence sensing and biological imaging

Tough and Ultrastretchable Liquid-Free Ion Conductor Strengthened by Deep Eutectic Solvent Hydrolyzed Cellulose Microfibers

Collaborators (8)

Lyndia Wu

Hossein Heidari

Naznin Virji-Babul

Shahriar Mirabbasi

H.F. Machiel Van der Loos

W Ben Mortenson

Feng Jiang

Ali Khademhosseini

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