Nigel H. Lovell

ORCID: 0000-0003-1637-1079
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neural Engineering
  • Advanced Memory and Neural Computing
  • EEG and Brain-Computer Interfaces
  • Photoreceptor and optogenetics research
  • Non-Invasive Vital Sign Monitoring
  • Mechanical Circulatory Support Devices
  • Heart Rate Variability and Autonomic Control
  • Context-Aware Activity Recognition Systems
  • Balance, Gait, and Falls Prevention
  • Cardiac electrophysiology and arrhythmias
  • Advanced Sensor and Energy Harvesting Materials
  • Hemodynamic Monitoring and Therapy
  • Cardiac Structural Anomalies and Repair
  • Cardiovascular Function and Risk Factors
  • Neural dynamics and brain function
  • Soft Robotics and Applications
  • Mobile Health and mHealth Applications
  • ECG Monitoring and Analysis
  • Fuel Cells and Related Materials
  • Muscle activation and electromyography studies
  • Gait Recognition and Analysis
  • Conducting polymers and applications
  • Tactile and Sensory Interactions
  • Telemedicine and Telehealth Implementation
  • Cardiac pacing and defibrillation studies

UNSW Sydney
2016-2025

New South Wales Department of Health
1999-2025

Massachusetts Institute of Technology
2024

University of Pisa
2024

Barilla (Italy)
2024

Antea Group (France)
2023

Institute of Electrical and Electronics Engineers
2019-2023

Health Foundation
2023

The University of Sydney
2002-2022

Chris O’Brien Lifehouse
2020-2022

The real-time monitoring of human movement can provide valuable information regarding an individual's degree functional ability and general level activity. This paper presents the implementation a classification system for types associated with data acquired from single, waist-mounted triaxial accelerometer unit. major advance proposed by is to perform vast majority signal processing onboard wearable unit using embedded intelligence. In this way, distinguishes between periods activity rest,...

10.1109/titb.2005.856864 article EN IEEE Transactions on Information Technology in Biomedicine 2006-01-01

Falls and fall related injuries are a significant cause of morbidity, disability, health care utilization, particularly among the age group 65 years over. The ability to detect falls events in an unsupervised manner would lead improved prognoses for victims. Several wearable accelerometry gyroscope-based detection devices have been described literature; however, they all suffer from unacceptable false positive rates. This paper investigates augmentation such systems with barometric pressure...

10.1109/tnsre.2010.2070807 article EN IEEE Transactions on Neural Systems and Rehabilitation Engineering 2010-09-01

The rapid aging of the world's population, along with an increase in prevalence chronic illnesses and obesity, requires adaption modification current healthcare models. One such approach involves telehealth applications, many which are based on sensor technologies for unobtrusive monitoring. Recent technological advances, particular, involving microelectromechnical systems, have resulted miniaturized wearable devices that can be used a range applications. leading areas utilization body-fixed...

10.1109/jsen.2011.2146246 article EN IEEE Sensors Journal 2011-04-26

Three-dimensional (3D) bioprinting technology offers great potential in the treatment of tissue and organ damage. Conventional approaches generally rely on a large form factor desktop bioprinter to create vitro 3D living constructs before introducing them into patient's body, which poses several drawbacks such as surface mismatches, structure damage, high contamination along with injury due transport open-field surgery. In situ inside body is potentially transformational solution serves an...

10.1002/advs.202205656 article EN cc-by Advanced Science 2023-02-19

Abstract Spatially resolved transcriptomics (SRT) is a pioneering method for simultaneously studying morphological contexts and gene expression at single-cell precision. Data emerging from SRT are multifaceted, presenting researchers with intricate matrices, precise spatial details comprehensive histology visuals. Such rich datasets, unfortunately, render many conventional methods like traditional machine learning statistical models ineffective. The unique challenges posed by the specialized...

10.1093/bib/bbae082 article EN cc-by Briefings in Bioinformatics 2024-01-22

Oral squamous cell carcinoma (OSCC) has the characteristics of early regional lymph node metastasis. OSCC patients often have poor prognoses and low survival rates due to cervical metastases. Therefore, it is necessary rely on a reasonable screening method quickly judge metastastic condition develop appropriate treatment plans. In this study, widely used pathological sections with hematoxylin-eosin (H&E) staining are taken as target, combined advantages hyperspectral imaging technology,...

10.1109/jbhi.2024.3350245 article EN IEEE Journal of Biomedical and Health Informatics 2024-01-05

Abstract A hybrid system for producing conducting polymers within a doping hydrogel mesh is presented. These conductive hydrogels demonstrate comparable electroactivity to conventional without requiring the need mobile ions which are typically used in literature. hybrids have superior mechanical stability and modulus significantly closer neural tissue than materials commonly medical electrodes. Additionally they shown support attachment differentiation of like cells, with improved...

10.1002/mabi.201100490 article EN Macromolecular Bioscience 2012-02-17

Accelerometry shows promise in providing an inexpensive but effective means of long-term ambulatory monitoring elderly patients. The accurate classification everyday movements should allow such a system to exhibit greater 'intelligence', improving its ability detect and predict falls by forming more specific picture the activities person thereby allowing tracking health parameters associated with those activities. With this mind, study aims develop robust methods for postures motions from...

10.1088/0967-3334/27/10/001 article EN Physiological Measurement 2006-07-25

10.1016/j.ijmedinf.2007.10.006 article EN International Journal of Medical Informatics 2007-12-01
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