A5100700922- Advanced Sensor and Energy Harvesting Materials
- Neuroscience and Neural Engineering
- Magnetic Field Sensors Techniques
- Advanced Memory and Neural Computing
- Advancements in Semiconductor Devices and Circuit Design
- Energy Harvesting in Wireless Networks
- Sensor Technology and Measurement Systems
- Wireless Power Transfer Systems
- Analog and Mixed-Signal Circuit Design
- EEG and Brain-Computer Interfaces
- Electrical and Bioimpedance Tomography
- Non-Invasive Vital Sign Monitoring
- Tactile and Sensory Interactions
- Conducting polymers and applications
- Muscle activation and electromyography studies
- CCD and CMOS Imaging Sensors
- Non-Destructive Testing Techniques
- Graphene research and applications
- Wireless Body Area Networks
- Quantum and electron transport phenomena
- Magnetic properties of thin films
- Neural Networks and Reservoir Computing
- Semiconductor materials and devices
- Industrial Vision Systems and Defect Detection
- Neural dynamics and brain function
University of Glasgow
2016-2025
Düsseldorf University Hospital
2024
Heriot-Watt University
2022-2024
Glasgow Life
2018-2021
University of Modena and Reggio Emilia
2021
Medical University of Vienna
2020
University of Wisconsin–Madison
2020
Universitat Politècnica de Catalunya
2019
Tokushima University
2019
Population Health Research Institute
2017
This paper presents a framework based on multilayer bi-LSTM network (bidirectional Long Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' patterns high-risk events such as falls. The data collected in this work are continuous activity streams from FMCW radar three wearable inertial sensors the wrist, waist, ankle. Each has variable duration stream so that transitions between activities can happen at random times within stream, without resorting...
Abstract Wearable devices can be used for monitoring vital physical and physiological signs remotely, as well interacting with computers. Widespread adoption of wearables is somewhat hindered by the duration time they without re‐recharging. To ensure uninterrupted operation, these need a constant battery‐less energy supply. Scavenging from wearable's surroundings is, therefore, an essential step towards achieving genuinely autonomous self‐powered devices. While harvesting technologies may...
As COVID-19 hounds the world, common cause of finding a swift solution to manage pandemic has brought together researchers, institutions, governments, and society at large. The Internet Things (IoT), artificial intelligence (AI)-including machine learning (ML) Big Data analytics-as well as Robotics Blockchain, are four decisive areas technological innovation that have been ingenuity harnessed fight this future ones. While these highly interrelated smart connected health technologies cannot...
Abstract Hardware implementation in resource-efficient reservoir computing is of great interest for neuromorphic engineering. Recently, various devices have been explored to implement hardware-based reservoirs. However, most studies were mainly focused on the layer, whereas an end-to-end architecture has yet be developed. Here, we propose a versatile method implementing cyclic reservoirs using rotating elements integrated with signal-driven dynamic neurons, whose equivalence standard...
Abstract Cardiovascular disease continues to be one of the dominant causes global mortality. One effective treatment is utilize cardiovascular implantable devices (cIMDs) with multi‐functional cell sensing and monitoring features that have potential manipulate hyperplasia disorders as well provide therapy. However, batteries a fixed capacity entail high‐risk surgeries for battery‐replacement, which health hazards imposes significant costs patients. This review accesses comprehensive power...
Flexible electronics has huge potential to bring revolution in robotics and prosthetics as well about the next big evolution industry. In related applications, it is expected revolutionise way with which machines interact humans, real-world objects environment. For example, conformable electronic or tactile skin on robot's body, enabled by advances flexible electronics, will allow safe robotic interaction during physical contact of robot various objects. Developing a conformable, bendable...
A Hall magnetic sensor working in the current domain and its electronic interface are presented. The paper describes physical design implementation a standard CMOS technology, transistor level of high sensitive front-end together with experimental characterization. current-mode analog readout circuit have been fabricated using 0.18- μm technology. uses spinning technique to compensate for offset provides differential as an output signal. measured power consumption residual 120 μW 50 μT, respectively.
Abstract Magnetism‐based systems are widely utilized for sensing and imaging biological phenomena, example, the activity of brain heart. Magnetomyography (MMG) is study muscle function through inquiry magnetic signal that a generates when contracted. Within last few decades, extensive effort has been invested to identify, characterize quantify magnetomyogram signals. However, it still far from miniaturized, sensitive, inexpensive low‐power MMG sensor. Herein, state‐of‐the‐art technologies...
Arteriovenous grafts (AVGs) are indispensable life-saving implants for chronic kidney disease (CKD) patients undergoing hemodialysis. However, AVGs will often fail due to postoperative complications such as cellular accumulation termed restenosis, blood clots, and infections, which dominant causes of morbidity mortality. A new generation hemodialysis equipped with biosensors multi-band antennas wireless power telemetry systems that can detect specific pathological parameters report AVGs'...
Rapid advances in wearable sensing technology have demonstrated unprecedented opportunities for artificial intelligence. In comparison with the traditional hand‐held electrolarynx, a and intelligent throat sound‐sensing ability is more comfortable versatile method to assist disabled people communication. Herein, piezoresistive sensor novel configuration demonstrated, which consists of polystyrene (PS) spheres as microstructures sandwiched between silver nanowires reduced graphene oxide...
We report a micro-nuclear magnetic resonance (NMR) system compatible with multi-type biological/chemical lab-on-a-chip assays. Unified in handheld scale (dimension: 14 × 6 11 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> , weight: 1.4 kg), the is capable to detect <;100 pM of Enterococcusfaecalis derived DNA from 2.5 μL sample. The key components are portable magnet (0.46 T, 1.25 kg) for nucleus magnetization, PCB I/O interface, an...
Significant research exists on the use of wearable sensors in context assisted living for activities recognition and fall detection, whereas radar have been studied only recently this domain. This paper approaches performance limitation using individual sensors, especially classification similar activities, by implementing information fusion features extracted from experimental data collected different namely a tri-axial accelerometer, micro-Doppler radar, depth camera. Preliminary results...
Compared with von Neumann's computer architecture, neuromorphic systems offer more unique and novel solutions to the artificial intelligence discipline. Inspired by biology, this system has implemented theory of human brain modeling connecting feigned neurons synapses reveal new neuroscience concepts. Many researchers have vastly invested in neuro-inspired models, algorithms, learning approaches, operation for exploration many corresponding applications. Recently, some demonstrated...
Electronic contact lenses are used for noninvasively monitoring vital human signs and medical parameters. However, maintaining a secure communications connection self‐sustainable power source still looming challenges. Herein, proof‐of‐concept electronic lens is demonstrated that includes spiral antenna with its wireless circuit unit data telemetry, rectifier conditioning, micro‐light‐emitting diode (μLED) as load. The rectifying designed considering operation in the industrial, scientific,...
Growing life expectancy and increasing incidence of multiple chronic health conditions are significant societal challenges. Different technologies have been proposed to address these issues, detect critical events, such as stroke or falls, monitor automatically human activities for condition inference anomaly detection. This paper aims investigate two types sensing assisted living: wearable radar sensors. First, different feature selection methods validated compared in terms accuracy...
This paper presents an innovative wrist-worn device with machine learning capabilities and a wearable pressure sensor array. The is used for monitoring different hand gestures by tracking tendon movements around the wrist. Thus, array of PDMS-encapsulated capacitive sensors attached to user capture wrist movement. are embedded on flexible substrate their readout requires reliable approach measuring small changes in capacitance. challenge was addressed capacitance via switched capacitor...
Magnetomyography (MMG) with superconducting quantum interference devices (SQUIDs) enabled the measurement of very weak magnetic fields (femto to pico Tesla) generated from human skeletal muscles during contraction. However, SQUIDs are bulky, costly, and require working in a temperature-controlled environment, limiting wide-spread clinical use. We introduce low-profile magnetoelectric (ME) sensor analog frontend circuitry that has sensitivity measure pico-Tesla MMG signals at room...