December 1 - 6, 2024
Boston, Massachusetts

Event Supporters

2024 MRS Fall Meeting & Exhibit
SF03.09.03

Highly Stable Ladder-Type Conjugated Polymer Based Organic Electrochemical Transistors for Low Power and Signal Processing-Free Surface Electromyogram Triggered Robotic Hand Control

When and Where

Dec 6, 2024
2:00pm - 2:15pm
Hynes, Level 3, Room 306

Presenter(s)

Co-Author(s)

Zhongliang Zhou1,Wei Lin Leong1

Nanyang Technological University1

Abstract

Zhongliang Zhou1,Wei Lin Leong1

Nanyang Technological University1
Organic electrochemical transistors (OECTs) based complementary inverters have been considered as promising candidates in electrophysiological amplification, owing to their low power consumption, and high gain. To create complementary inverters, it is important to use highly stable p-type and n-type polymers with well-balanced current. In this work, we improved the electrochemical stability of p-type ladder-conjugated polymer based OECT through an annealing process where it maintained its doped-state drain current from 76 % to 105 % after 4,500 cycles in ambient environment. We next present an OECT-based complementary inverter made from p-type and n-type ladder-conjugated polymers (PBBTL and BBL) that possess ultra-low power consumption (~170 nW), high gain (67 V/V) and high noise margin (92%) with full rail-to-rail swing. Furthermore, we demonstrate its potential in amplifying the envelope of surface electromyography (EMG) for robotic hand control. The high variation in the output (0.35V) allows the amplified EMG signals to be directly captured by commercial analog-to-digital converter, which in turn controls the robot hand to grasp different objects with low delay and low noise. These results demonstrate the capability of OECT inverter based amplifier in future signal processing-free human machine interface, particularly useful for prosthetic control and gesture control applications.

Symposium Organizers

Bradley Nelson, ETH Zurich
Kirstin Petersen, Cornell University
Yu Sun, University of Toronto
Ruike Renee Zhao, Stanford University

Symposium Support

Bronze
Science Robotics

Session Chairs

Carlos Sanchez Somolinos
Xuanhe Zhao

In this Session