no code implementations • 16 Jan 2023 • Masoud Fetanat, Michael Stevens, Pankaj Jain, Christopher Hayward, Erik Meijering, Nigel H. Lovell
The proposed CNN-FENN-HHO+ method outperforms the proposed CNN-MLP, CNN-ENN and CNN-FENN methods and improved the classification performance metrics across 5-fold cross-validation.
no code implementations • 10 Oct 2022 • Roxana Zahedi Nasab, Mohammad Reza Eftekhariyan Ghamsari, Ahmadreza Argha, Callum Macphillamy, Amin Beheshti, Roohallah Alizadehsani, Nigel H. Lovell, Mohammad Lotfollahi, Hamid Alinejad-Rokny
In this paper, we provide a comprehensive overview of these deep learning methods, including their strengths and limitations.
no code implementations • 30 Apr 2021 • Masoud Fetanat, Michael Stevens, Christopher Hayward, Nigel H. Lovell
To automatically adjust the LVAD speed, a physiological control system needs to be designed to respond to variations of patient hemodynamics across a variety of clinical scenarios.
no code implementations • 2 Oct 2019 • Luke Sy, Michael Raitor, Michael Del Rosario, Heba Khamis, Lauren Kark, Nigel H. Lovell, Stephen J. Redmond
Goal: This paper presents an algorithm for accurately estimating pelvis, thigh, and shank kinematics during walking using only three wearable inertial sensors.
Robotics Systems and Control Systems and Control