Andrew Lim

ORCID: 0000-0002-6168-5766
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About
Contact & Profiles
Research Areas
  • Soft Robotics and Applications
  • Micro and Nano Robotics
  • Pain Mechanisms and Treatments
  • Musculoskeletal pain and rehabilitation
  • Surgical Simulation and Training
  • Augmented Reality Applications
  • Cerebrospinal fluid and hydrocephalus
  • Underwater Vehicles and Communication Systems
  • Wireless Power Transfer Systems
  • Botulinum Toxin and Related Neurological Disorders
  • EEG and Brain-Computer Interfaces

Sunnybrook Health Science Centre
2022-2024

Health Sciences Centre
2024

University of Toronto
2020-2022

Hospital for Sick Children
2019

In this letter, a novel end-effector for surgical applications is presented that uses magnetic actuation in lieu of more traditional cable-driven tool with the goal providing high dexterity hard-to-reach locations by decoupling from rest system. The gripper and wrist device consists several magnets connected compliant Nitinol joints allow two rotational degrees freedom one gripping degree freedom. As an existing robot arm, could augment minimally invasive robots allowing distal sites narrow...

10.1109/lra.2019.2894504 article EN IEEE Robotics and Automation Letters 2019-01-21

Robot-assisted minimally invasive surgical (MIS) techniques offer improved instrument precision and dexterity, reduced patient trauma risk, promise to lessen the skill gap among surgeons. These approaches are common in general surgery, urology, gynecology. However, MIS remain largely absent for applications within narrow, confined workspaces, such as neuroendoscopy. The limitation stems from a lack of small yet dexterous robotic tools. In this work, we present first instance robot with...

10.1109/tbme.2020.3007581 article EN IEEE Transactions on Biomedical Engineering 2020-07-08

Abstract Introduction In-lab polysomnography (PSG) is costly and difficult to scale due a need for specialized personnel data acquisition annotation. Numerous novel wearable devices without electroencephalography (EEG) have been developed improve scalability of acquisition. However, validated automated approaches annotation, including sleep staging are needed. Here, we apply deep learning the problem using from ANNE One (Sibel Health, Evanston, IL), minimally intrusive flexible wireless dual...

10.1093/sleep/zsae067.01122 article EN SLEEP 2024-04-20

Individuals suffering from neuropathic pain commonly report issues associated with sleep. To measure sleep in this population, researchers have used actigraphy. Historically, actigraphy data been analyzed the form of counts; however, due to proprietary nature, many opt quantify its raw form. Various processing techniques exist accomplish this; it remains unclear how they compare one another. This study sought measures derived using GGIR R package versus GENEActiv (GA) Markdown tool a...

10.1123/jmpb.2022-0017 article EN Journal for the Measurement of Physical Behaviour 2022-09-28
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