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Mobile robotic chemists are a fast growing trend in the field of chemistry and materials research. However, so far these mobile robots lack workflow awareness skills. This poses the risk that even a small anomaly, such as an improperly…

Transcranial magnetic stimulation (TMS) is a noninvasive medical procedure that can modulate brain activity, and it is widely used in neuroscience and neurology research. Compared to manual operators, robots may improve the outcome of TMS…

Image processing techniques provide important assistance to physicians and relieve their workload in different tasks. In particular, identifying objects of interest such as lesions and anatomical structures from the image is a challenging…

Medical Physics · Physics 2020-05-20 Meysam Tavakoli , Mahdieh Nazar

Microelectromagnet devices, a ring trap and a matrix, were developed for the microscopic control of biological systems. The ring trap is a circular Au wire with an insulator on top. The matrix has two arrays of straight Au wires, one array…

Quantitative Methods · Quantitative Biology 2007-05-23 H. Lee , A. M. Purdon , R. M. Westervelt

According to the World Health Organization (WHO), 30 million people are in need of prosthetic and orthotic devices. Some people are born with this limb loss, while others lose limbs due to diseases such as Cancer, diabetes, and work…

Signal Processing · Electrical Eng. & Systems 2023-08-09 Ahmed Naguib , Dina Reda Eldamak

The choroid, a highly vascular layer behind the retina, is an extension of the central nervous system and has parallels with the renal cortex, with blood flow far exceeding that of the brain and kidney. Thus, there has been growing interest…

Image and Video Processing · Electrical Eng. & Systems 2025-02-12 Jamie Burke

Invasive intracranial electroencephalography (iEEG) or electrocorticography (ECoG) measures electric potential directly on the surface of the brain and can be used to inform treatment planning for epilepsy surgery. Combined with numerical…

Objective: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe long-term neurological consequences. Early detection typically requires continuous…

Brain-inspired computing has the potential to revolutionise the current von Neumann architecture, advancing machine learning applications. Signal transmission in the brain relies on voltage-gated ion channels, which exhibit the electrical…

Accurate and timely seizure detection from Electroencephalography (EEG) is critical for clinical intervention, yet manual review of long-term recordings is labor-intensive. Recent efforts to encode EEG signals into large language models…

Machine Learning · Computer Science 2026-02-10 Yan Chen , Jie Peng , Moajjem Hossain Chowdhury , Tianlong Chen , Yunmei Liu

Dynamic coronary roadmapping is a technology that overlays the vessel maps (the "roadmap") extracted from an offline image sequence of X-ray angiography onto a live stream of X-ray fluoroscopy in real-time. It aims to offer navigational…

Image and Video Processing · Electrical Eng. & Systems 2024-08-29 Yikang Liu , Lin Zhao , Eric Z. Chen , Xiao Chen , Terrence Chen , Shanhui Sun

Assistive electric-powered wheelchairs (EPWs) have become essential mobility aids for people with disabilities such as amyotrophic lateral sclerosis (ALS), post-stroke hemiplegia, and dementia-related mobility impairment. This work presents…

Robotics · Computer Science 2026-01-07 Md. Anowar Hossain , Mohd. Ehsanul Hoque

A stroke is defined as a neurologic deficit arising from an interruption in blood supply to the brain. According to the World Health Organization, over 15 million people suffer from strokes annually, of which almost 70% die or are…

Quantitative Methods · Quantitative Biology 2022-03-29 Rohan Kalahasty , Lakshmi Sritan Motati

Contactless manipulation of small objects is essential for biomedical and chemical applications, such as cell analysis, assisted fertilisation, and precision chemistry. Established methods, including optical, acoustic, and magnetic…

Fluid Dynamics · Physics 2025-07-02 Lucas Amoudruz , Petr Karnakov , Petros Koumoutsakos

Imaging the bio-impedance distribution of the brain can provide initial diagnosis of acute stroke. This paper presents a compact and non-radiative tomographic modality, i.e. multi-frequency Electromagnetic Tomography (mfEMT), for the…

Applied Physics · Physics 2020-07-29 Jinxi Xiang , Yonggui Dong , Yunjie Yang

Magnetic navigation systems, including magnetic tracking systems and magnetic actuation systems, have shown great potential for occlusion-free localization and remote control of intracorporeal medical devices and robots in minimally…

Robotics · Computer Science 2026-03-09 Heng Wang , Haoyu Song , Jiatao Zheng , Yuxiang Han , Kunli Wang

Microrobots have the potential to impact many areas such as microsurgery, micromanipulation and minimally invasive sensing. Due to their small size, microrobots swim in a regime that is governed by low Reynolds number hydrodynamics. In this…

Systems and Control · Computer Science 2018-10-29 Jaskaran Grover , Daniel Vedova , Nalini Jain , Patrick Vedova , Matthew Travers , Howie Choset

Human gait can be a predictive factor for detecting pathologies that affect human locomotion according to studies. In addition, it is known that a high investment is demanded in order to raise a traditional clinical infrastructure able to…

Signal Processing · Electrical Eng. & Systems 2021-10-13 T. R. D. Sa , C. M. S. Figueiredo

Clinical decisions for unruptured intracranial aneurysms depend on detecting growth on follow-up magnetic resonance angiography (MRA). Growth is typically judged from manual 2D diameters on few slices, which vary across clinicians and…

A brain--machine interface (BMI) based on motor imagery (MI) enables the control of devices using brain signals while the subject imagines performing a movement. It plays a vital role in prosthesis control and motor rehabilitation. To…

Signal Processing · Electrical Eng. & Systems 2024-09-20 Xiaying Wang , Michael Hersche , Michele Magno , Luca Benini