A5049405747- Neuroscience and Neural Engineering
- Advanced Memory and Neural Computing
- Analog and Mixed-Signal Circuit Design
- EEG and Brain-Computer Interfaces
- Analytical Chemistry and Sensors
- CCD and CMOS Imaging Sensors
- Neural dynamics and brain function
- Wireless Body Area Networks
- Advanced Sensor and Energy Harvesting Materials
- Energy Harvesting in Wireless Networks
- Semiconductor materials and devices
- Muscle activation and electromyography studies
- Wireless Power Transfer Systems
- Advanced biosensing and bioanalysis techniques
- Gastrointestinal Bleeding Diagnosis and Treatment
- 3D Printing in Biomedical Research
- Advanced Optical Sensing Technologies
- Advancements in Semiconductor Devices and Circuit Design
- Water Quality Monitoring and Analysis
- Electrical and Bioimpedance Tomography
- Advanced Biosensing Techniques and Applications
- ECG Monitoring and Analysis
- Radiation Effects in Electronics
- Conducting polymers and applications
- Sensor Technology and Measurement Systems
University of Edinburgh
2018-2025
National Microelectronics Institute
2018-2025
Edinburgh Cancer Research
2020-2023
University of Glasgow
2016-2022
University of Bamberg
2019
IMEC
2012-2017
Imec the Netherlands
2013-2016
KU Leuven
2012-2013
Johns Hopkins University
2009-2010
University of Zurich
2006-2008
Neural probes have become the most important tool for enabling neuroscientists to place microelectrode sensors close individual neurons and monitor their activity in vivo. With such devices, it is possible perform acute or chronic extracellular recordings of electrical from a single neuron groups neurons. After many developments neural implants, has clear that large arrays electrodes are desirable further investigate performed by complex networks. Therefore, this paper, we propose CMOS probe...
In vivo recording of neural action-potential and local-field-potential signals requires the use high-resolution penetrating probes. Several international initiatives to better understand brain are driving technology efforts towards maximizing number sites while minimizing probe dimensions. We designed fabricated (0.13- μm SOI Al CMOS) a 384-channel configurable for large-scale in signals. Up 966 selectable active electrodes were integrated along an implantable shank (70 wide, 10 mm long, 20...
Real-time classification of patterns spike trains is a difficult computational problem that both natural and artificial networks spiking neurons are confronted with. The solution to this not only could contribute understanding the fundamental mechanisms computation used in biological brain, but also lead efficient hardware implementations wide range applications ranging from autonomous sensory-motor systems brain-machine interfaces. Here we demonstrate real-time complex mean firing rates,...
We present a high electrode density and channel count CMOS (complementary metal-oxide-semiconductor) active neural probe containing 1344 neuron sized recording pixels (20 µm × 20 µm) 12 reference 80 µm), densely packed on 50 thick, 100 wide, 8 mm long shank. The electrodes or consist of dedicated in-situ circuits for signal source amplification, which are directly located under each electrode. supports the simultaneous all 1356 with sufficient to noise ratio typical neuroscience...
<?Pub Dtl=""?> This paper describes an 8-channel gel-free EEG/electrode-tissue impedance (ETI) acquisition system, consisting of nine active electrodes (AEs) and one back-end (BE) analog signal processor. The AEs amplify the weak EEG signals, while their low output suppresses cable-motion artifacts 50/60 Hz mains interference. A common-mode feed-forward (CMFF) scheme boosts CMRR AE pairs by 25 dB. BE post-processes digitizes outputs AEs, it also can configure them via a single-wire pulse...
The sensor technology for water quality monitoring (WQM) has improved during recent years. cost-effective sensorised tools that can autonomously measure the essential physical-chemical-biological (PCB) variables are now readily available and being deployed on buoys, boats, ships. Yet, there is a disconnect between data quality, gathering, analysis due to lack of standardized approaches collection processing, spatiotemporal variation key parameters in bodies new contaminants. Such gaps be...
Multi-Electrode Arrays (MEA) have been widely used in neuroscience experiments. However, the reduction of their wireless transmission power consumption remains a major challenge. To resolve this challenge, an efficient on-chip signal compression method is essential. In paper, we first introduce signal-dependent Compressed Sensing (CS) approach that outperforms previous works terms rate and reconstruction quality. Using publicly available database, our simulation results show proposed system...
A low-power analog signal processing IC is presented for the heart rhythm analysis. The ASIC features 3 identical, but independent intra-ECG readout channels each equipping an QRS feature extractor consumption and fast diagnosis of fatal case. 16-level digitized sine-wave synthesizer together with a synchronous circuit can measure bio-impedance in range 0.1-4.4 kΩ 33 mΩ(rms) resolution higher than 97% accuracy. proposed 25 mm² consumes only 13 μA from 2.2 V. It highly integrated solution...
In vivo recording of neural action-potential (AP) and local-field-potential (LFP) signals requires the use high-resolution penetrating probes. Driven by need for large-scale minimal tissue damage, a technology roadmap has been defined next-generation probes aiming to maximize number sites while minimizing probe dimensions [1]. this paper we present 384-channel configurable active high-density which implements in situ buffering under each electrode minimize crosstalk between adjacent metal...
We present a high density CMOS neural probe with active electrodes (pixels), consisting of dedicated in-situ circuits for signal source amplification. The complete contains 1356 neuron sized (20×20 μm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ) pixels densely packed on 50 thick, 100 wide and 8 mm long shank. It allows simultaneous high-performance recording from 678 possibility to simultaneously observe all the increased noise....
Hypoxia commonly occurs within tumours and is a major cause of radiotherapy resistance. Clinical outcomes could be improved by locating selectively increasing the dose delivered to hypoxic regions. Here we describe miniature implantable sensor for real-time monitoring tissue oxygenation that enable this novel treatment approach implemented. The uses solid-state electrochemical cell was microfabricated at wafer level on silicon substrate, includes an integrated reference electrode electrolyte...
In this paper, we present a miniaturized (<6cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> ) and low noise (60nV/√Hz) wireless EEG sensor node with active electrodes simultaneous electrode tissue impedance (ETI) monitoring. The added benefit of the continuous ETI monitoring is quantified in terms susceptibility against power line interference cable motion artefacts. benchmarked reference system for similarity measures frequency...
Several studies have demonstrated that understanding certain brain functions can only be achieved by simultaneously monitoring the electrical activity of many individual neurons in multiple areas [1]. Therefore, main tradeoff neural probe design is between minimizing dimensions and achieving high spatial resolution using large arrays small recording sites. Current state-of-the-art solutions are limited amount simultaneous readout channels [2], contain a number electrodes [2,3] or use hybrid...
Precision metabolomics and quantification for cost-effective rapid diagnosis of disease are the key goals in personalized medicine point-of-care testing. At present, patients subjected to multiple test procedures requiring large laboratory equipment. Microelectronics has already made modern computing communications possible by integration complex functions within a single chip. As More than Moore technology increases importance, integrated circuits densely patterned sensor chips have grown...
We present the TENS<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">mini</i>, a compact and wearable device (38 × 38 21 mm<sup xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>, weighing only 31 g), designed for home-based self-management of overactive bladder syndrome (OAB). The integrates two conductive textile electrodes into sock, which can be washed reused. It is wirelessly controlled with mobile devices to generate current pulses...
Magnetic fields enable remote manipulation of objects and are ideal for medical applications because they pass through human tissue harmlessly. This capability is promising surgical robots, allowing navigation deeper into the anatomy accessing organs beyond reach current technologies. However, magnetic typically limited to a maximum two–degrees-of-freedom orientation, restricting complex motions, especially those including rolling around main axis robot. To address this challenge, we...
Current-mode log-domain CMOS filters have favorable properties, such as wide dynamic range at low supply voltage, compactness, linearity and power consumption. These properties are becoming increasingly important for biomedical applications that require extremely low-power dissipation neuromorphic circuits attempt to reproduce the biophysics of biological neurons synapses. We present a current-mode integrator circuit with tunable gain is compact, compared analogous state-of-the-art...
In this paper, we present a new bio-impedance monitor for wearable and continuous monitoring applications. The system consumes less than 14.4mW when measuring impedance, 0.9mW idling. Its compact size (4.8cm × 3cm 2cm) makes it suitable portable use. proposed has an accuracy of 0.5Ω resolution 0.2Ω on both resistance (R) reactance (X) measurements, impedance ranging between (j0.7)Ω to (54+j5)Ω with 2.9<φ<5.7. We also report the results validation using passive loads as human tissue model,...
Objective. This paper describes a low power closed-loop compressive sensing (CS) based neural recording system. system provides an efficient method to reduce data transmission bandwidth for implantable devices. By doing so, this technique reduces majority of consumption which is dissipated at readout interface. The design the scalable and viable option large scale integration electrodes or sites onto single device. Approach. entire consists application-specific integrated circuit (ASIC) with...
Implantable and ambulatory measurement of physiological signals such as Bio-impedance using miniature biomedical devices needs careful tradeoff between limited power budget, accuracy complexity implementation. This paper addresses this through an extensive analysis different stimulation demodulation techniques for accurate measurement. Three cases are considered rigorous a generic impedance model, with multiple poles, which is stimulated square/sinusoidal current demodulated clock. For each...
Self-reporting implantable medical devices are the future of cardiovascular healthcare. Cardiovascular complications such as blocked arteries that lead to majority heart attacks and strokes frequently treated with inert metal stents reopen affected vessels. Stents re-block after deployment due a wound response called in-stent restenosis (ISR). Herein, an miniaturized sensor telemetry system developed can detect this process, discern different cell types associated ISR, distinguish sub plaque...
Abstract Insects use the sun’s position (even when concealed) as a compass for navigation by filtering celestial light intensity and polarisation through their compound eyes. To replicate this functionality, we present sensor that imitates essential aspects of insect eyes, particularly fan-like arrangement polarised receptors in dorsal rim area. Our comprises ring eight pairs photodiodes (evaluating two orthogonal orientations light) to analyse skylight coming from different directions....