A5064084537- Advanced Sensor and Energy Harvesting Materials
- Healthcare Decision-Making and Restraints
- Muscle activation and electromyography studies
- Gait Recognition and Analysis
- Psychiatric care and mental health services
- Injury Epidemiology and Prevention
- Wastewater Treatment and Nitrogen Removal
- Criminal Justice and Corrections Analysis
- Microbial Fuel Cells and Bioremediation
- Innovative Energy Harvesting Technologies
- Cardiovascular and Diving-Related Complications
- Neuroscience and Neural Engineering
- Homelessness and Social Issues
- Electrochemical sensors and biosensors
- Dielectric materials and actuators
- Icing and De-icing Technologies
- EEG and Brain-Computer Interfaces
- Vestibular and auditory disorders
- Analytical Chemistry and Sensors
- Concrete Corrosion and Durability
- Smart Materials for Construction
- Disaster Response and Management
- Flood Risk Assessment and Management
- Gas Sensing Nanomaterials and Sensors
- Non-Invasive Vital Sign Monitoring
Macquarie University
2019-2024
Northern Sydney Local Health District
2015
Abstract This paper suggests development of a flexible, lightweight, and ultra-sensitive piezoresistive flow sensor based on vertical graphene nanosheets (VGNs) with mazelike structure. The was thoroughly characterized for steady-state oscillatory water monitoring applications. results demonstrated high sensitivity (103.91 mV (mm/s) −1 ) very low-velocity detection threshold (1.127 mm s in monitoring. As one many potential applications, we that the proposed VGNs/PDMS can closely mimic...
Drowning is considered amongst the top 10 causes of unintentional death, according to World Health Organization (WHO). Therefore, anti-drowning systems that can save lives by preventing and detecting drowning are much needed. This paper proposes a robust waterproof sensor-based device detect distress in swimmers at varying depths different types water environments. The proposed comprises four main components, including heart rate, blood oxygen level, movement, depth sensors. Although these...
Recent advancements in sensing technology have led to developments of lighter and smaller control systems for prosthetic biomedical applications. In this paper, we develop a bio-inspired sensory system master-slave force-sensing robotic hand which allow accurate provide natural sense touch humanoid based on force information derived from smart glove equipped. The slave is fabricated using three-dimensional (3D) printing technology, with servo motors actuate the components. A miniaturised...
In this article, an effective control system based on a deep learning (DL) algorithm is designed to administer and actuate in-house 3-D printed robotic hand using myoelectric sensors. Five servo motors are utilized the hand's components with 17 degrees of freedom (DoFs). This research investigated minimum number sensors hands fingers. A convolutional neural network (CNN) also employed recognize finger movements' patterns, classify gestures. Experiments conducted in presence one three forearm...
Objectives: To determine the appropriateness and utility of certificates issued under New South Wales Mental Health Act (MHA) compliance with requirements MHA. The analysis also compares MHA documentation by different groups health professionals police. Methods: associated 100 consecutive involuntary Emergency Department presentations were audited. Results: Considerable variability exists between professional in level detail, appropriateness, clinical certificates. Over 10% Schedule 1s...
In this study, an innovative biomechanical device inspired by the human vestibular system is presented. order to mimic haircell sensors inside semicircular canals (SCCs), a microelectromechanical (MEMS) flow sensor was developed. A three-dimensional (3D) printed SCC fitted with sensor, and analyzed at various angular accelerations frequencies of 0.5 Hz 1.5 Hz. To evaluate experimental results, computational model developed simulate dynamics measure output due movement. The results obtained...
In this work, an ultra-sensitive flow sensor is presented, consisting of vertically grown graphene nanosheets (VGNs) with a mazelike structure and elastomer (polydimethylsiloxane, PDMS). The VGNs/PDMS piezoresistive exhibits great linearity, low-velocity detection threshold (1.127 mm/s) super-high sensitivity under exposure to stationary (0.127 kΩ/(mL/min)). proposed sensor, analogous hair cells in the vestibular system, was embedded 3D-printed lateral semicircular canal, sensing performance...