scholarly journals Neural Spike Digital Detector on FPGA

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 392 ◽  
Author(s):  
Elia Vallicelli ◽  
Marco Reato ◽  
Marta Maschietto ◽  
Stefano Vassanelli ◽  
Daniele Guarrera ◽  
...  
Keyword(s):  
Electrical Activity ◽  
Real Time ◽  
Power Distribution ◽  
Electrode Array ◽  
Sorting Algorithm ◽  
Noise Power ◽  
Neural Spikes ◽  
Low Snr ◽  
Analog Electronics ◽  
Digital Detector

This paper presents a multidisciplinary experiment where a population of neurons, dissociated from rat hippocampi, has been cultivated over a CMOS-based micro-electrode array (MEA) and its electrical activity has been detected and mapped by an advanced spike-sorting algorithm implemented on FPGA. MEAs are characterized by low signal-to-noise ratios caused by both the contactless sensing of weak extracellular voltages and the high noise power coming from cells and analog electronics signal processing. This low SNR forces to utilize advanced noise rejection algorithms to separate relevant neural activity from noise, which are usually implemented via software/off-line. However, off-line detection of neural spikes cannot be obviously used for real-time electrical stimulation. In this scenario, this paper presents a proper FPGA-based system capable to detect in real-time neural spikes from background noise. The output signals of the proposed system provide real-time spatial and temporal information about the culture electrical activity and the noise power distribution with a minimum latency of 165 ns. The output bit-stream can be further utilized to detect synchronous activity within the neural network.

Flat Flexible Thin Milli-electrode Array for Real-time in situ Water Quality Monitoring in Distribution Systems

2017 ◽  
Vol 2017 (4) ◽  
pp. 5598-5617
Author(s):  
Zhiheng Xu ◽  
Wangchi Zhou ◽  
Qiuchen Dong ◽  
Yan Li ◽  
Dingyi Cai ◽  
...  
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Distribution Systems ◽  
Electrode Array ◽  
Water Quality Monitoring ◽  
Quality Monitoring

scholarly journals Power Hardware-in-the-Loop: Response of Power Components in Real-Time Grid Simulation Environment

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 593
Author(s):  
Moiz Muhammad ◽  
Holger Behrends ◽  
Stefan Geißendörfer ◽  
Karsten von Maydell ◽  
Carsten Agert
Keyword(s):  
Real Time ◽  
Power Distribution ◽  
Control Strategies ◽  
Power Grid ◽  
Energy System ◽  
Hardware In The Loop ◽  
Distribution Grid ◽  
Compensation Strategy ◽  
Software Environment ◽  
The Real

With increasing changes in the contemporary energy system, it becomes essential to test the autonomous control strategies for distributed energy resources in a controlled environment to investigate power grid stability. Power hardware-in-the-loop (PHIL) concept is an efficient approach for such evaluations in which a virtually simulated power grid is interfaced to a real hardware device. This strongly coupled software-hardware system introduces obstacles that need attention for smooth operation of the laboratory setup to validate robust control algorithms for decentralized grids. This paper presents a novel methodology and its implementation to develop a test-bench for a real-time PHIL simulation of a typical power distribution grid to study the dynamic behavior of the real power components in connection with the simulated grid. The application of hybrid simulation in a single software environment is realized to model the power grid which obviates the need to simulate the complete grid with a lower discretized sample-time. As an outcome, an environment is established interconnecting the virtual model to the real-world devices. The inaccuracies linked to the power components are examined at length and consequently a suitable compensation strategy is devised to improve the performance of the hardware under test (HUT). Finally, the compensation strategy is also validated through a simulation scenario.

A disposable aptasensor based on a gold-plated coplanar electrode array for on-site and real-time determination of Cu2+

2021 ◽  
pp. 338991
Author(s):  
Haochen Qi ◽  
Xiaofan Huang ◽  
Jayne Wu ◽  
Jian Zhang ◽  
Fei Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Electrode Array ◽  
Time Determination

Abstract 143: Electrocardiographic Changes Preceding In-Hospital Cardiac Arrests From Pulseless Electrical Activity / Asystole Provide Insights into Underlying Cause and Pathophysiology

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Jason J Yang ◽  
Duc H Do ◽  
Xiao Hu ◽  
Noel G Boyle
Keyword(s):  
Electrical Activity ◽  
Real Time ◽  
Tertiary Care ◽  
Pulseless Electrical Activity ◽  
Spontaneous Circulation ◽  
Care Hospital ◽  
Right Ventricular Strain ◽  
Wave Morphology ◽  
Electrocardiographic Changes ◽  
Ecg Data

Introduction: Survival from in-hospital cardiac arrests (IHCA) due to pulseless electrical activity (PEA) or asystole remains extremely poor. Our understanding of the pathophysiology of PEA is limited, and management of IHCA largely follows a “one size fits all” approach due to the lack of reliable methods to determine underlying cause in real-time. Hypothesis: Changes on continuous electrocardiogram (ECG) preceding IHCA reflect the underlying cause and pathophysiology of IHCA. Methods: We evaluated adult patients with IHCA from PEA/asystole at a tertiary care hospital between 3/2010 - 8/2014 with at least 3 hours of continuous ECG data preceding IHCA. We determined the likely cause of IHCA by reviewing of clinical, lab, imaging, and autopsy data. We analyzed up to 24 hours of continuous ECG data evaluating for changes in rhythm, PR interval, QRS and ST/T wave morphology leading up to IHCA. Results: Eighty-nine patients were studied (mean age 62 ± 18 years, 54% male). Return of spontaneous circulation was obtained in 65 (73%) and 24 (27%) survived to discharge. We found 5 distinct patterns of ECG changes leading up to and including the arrest rhythm (Table). Causes of cardiac arrest were significantly different between the group (Fischer’s exact p<0.001). Notably, a severe right ventricular strain ECG pattern was found preceding PEA caused by pulmonary embolism, asphyxia from large mucus plugs or massive aspiration, acute respiratory distress syndrome, and cardiogenic shock with biventricular failure. Conclusion: Distinct patterns of changes in rhythm and ECG morphology which reflect different underlying causes and pathophysiology of IHCA were identified. Recognition of these patterns may provide an opportunity for better understanding of PEA mechanisms and outcomes, and allow for real-time prediction of IHCA cause to help direct management.

scholarly journals Noninvasive muscle activity imaging using magnetography

2020 ◽  
Vol 117 (9) ◽  
pp. 4942-4947 ◽  
Author(s):  
Rodolfo R. Llinás ◽  
Mikhail Ustinin ◽  
Stanislav Rykunov ◽  
Kerry D. Walton ◽  
Guilherme M. Rabello ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Contrast Media ◽  
Electrical Activity ◽  
Real Time ◽  
Human Body ◽  
Muscle Activity ◽  
Muscular Activity ◽  
Exponential Increase ◽  
Somatic Musculature ◽  
The Magnetic Field

A spectroscopic paradigm has been developed that allows the magnetic field emissions generated by the electrical activity in the human body to be imaged in real time. The growing significance of imaging modalities in biology is evident by the almost exponential increase of their use in research, from the molecular to the ecological level. The method of analysis described here allows totally noninvasive imaging of muscular activity (heart, somatic musculature). Such imaging can be obtained without additional methodological steps such as the use of contrast media.

scholarly journals Intelligent Multi-Electrode Array for Real-Time Treatment Monitoring of Antipsychotic Clozapine

2020 ◽  
Vol 2 (1) ◽  
pp. 4
Author(s):  
Rajendra P. Shukla ◽  
Deanna L. Kelly ◽  
Hadar Ben-Yoav
Keyword(s):  
Mental Health ◽  
Real Time ◽  
Electrode Array ◽  
Mental Health Disorder ◽  
Treatment Monitoring ◽  
Time Treatment ◽  
Multi Electrode Array

Schizophrenia is a challenging mental health disorder [1]. While various antipsychotics have [...]

scholarly journals A Robust Real-Time Automatic Recognition Prototype for Maritime Optical Morse-Based Communication Employing Modified Clustering Algorithm

2020 ◽  
Vol 10 (4) ◽  
pp. 1227 ◽  
Author(s):  
Xiaozheng Wang ◽  
Minglun Zhang ◽  
Hongyu Zhou ◽  
Xinglong Lin ◽  
Xiaomin Ren
Keyword(s):  
Real Time ◽  
Clustering Algorithm ◽  
Signal To Noise Ratio ◽  
Light Emitting Diode ◽  
Experimental Tests ◽  
Recognition Algorithm ◽  
Automatic Recognition ◽  
Decision Threshold ◽  
Low Snr ◽  
Led Array

In maritime communications, the ubiquitous Morse lamp on ships plays a significant role as one of the most common backups to radio or satellites just in case. Despite the advantages of its simplicity and efficiency, the requirement of trained operators proficient in Morse code and maintaining stable sending speed pose a key challenge to this traditional manual signaling manner. To overcome these problems, an automatic system is needed to provide a partial substitute for human effort. However, few works have focused on studying an automatic recognition scheme of maritime manually sent-like optical Morse signals. To this end, this paper makes the first attempt to design and implement a robust real-time automatic recognition prototype for onboard Morse lamps. A modified k-means clustering algorithm of machine learning is proposed to optimize the decision threshold and identify elements in Morse light signals. A systematic framework and detailed recognition algorithm procedure are presented. The feasibility of the proposed system is verified via experimental tests using a light-emitting diode (LED) array, self-designed receiver module, and microcontroller unit (MCU). Experimental results indicate that over 99% of real-time recognition accuracy is realized with a signal-to-noise ratio (SNR) greater than 5 dB, and the system can achieve good robustness under conditions with low SNR.

scholarly journals A Software Architecture to Mimic a Ventricular Tachycardia in Intact Murine Hearts by Means of an All-Optical Platform

2019 ◽  
Vol 2 (1) ◽  
pp. 7 ◽  
Author(s):  
Francesco Giardini ◽  
Valentina Biasci ◽  
Marina Scardigli ◽  
Francesco S. Pavone ◽  
Gil Bub ◽  
...  
Keyword(s):  
Ventricular Tachycardia ◽  
Electrical Activity ◽  
Real Time ◽  
Temporal Resolution ◽  
Technical Note ◽  
High Temporal Resolution ◽  
Excitable Cells ◽  
New Approach ◽  
Cardiac Electrical Activity ◽  
All Optical

Optogenetics is an emerging method that uses light to manipulate electrical activity in excitable cells exploiting the interaction between light and light-sensitive depolarizing ion channels, such as channelrhodopsin-2 (ChR2). Initially used in the neuroscience, it has been adopted in cardiac research where the expression of ChR2 in cardiac preparations allows optical pacing, resynchronization and defibrillation. Recently, optogenetics has been leveraged to manipulate cardiac electrical activity in the intact heart in real-time. This new approach was applied to simulate a re-entrant circuit across the ventricle. In this technical note, we describe the development and the implementation of a new software package for real-time optogenetic intervention. The package consists of a single LabVIEW program that simultaneously captures images at very high frame rates and delivers precisely timed optogenetic stimuli based on the content of the images. The software implementation guarantees closed-loop optical manipulation at high temporal resolution by processing the raw data in workstation memory. We demonstrate that this strategy allows the simulation of a ventricular tachycardia with high stability and with a negligible loss of data with a temporal resolution of up to 1 ms.

scholarly journals Extracellular Electrophysiology in the Prostate Cancer Cell Model PC-3

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 139 ◽  
Author(s):  
Miguel Cabello ◽  
Haobo Ge ◽  
Carmen Aracil ◽  
Despina Moschou ◽  
Pedro Estrela ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Electrical Activity ◽  
Cell Model ◽  
Treatment Strategies ◽  
Electrode Array ◽  
Cellular Level ◽  
Low Noise ◽  
Cellular Growth ◽  
Male Population ◽  
Depth Analysis

Although prostate cancer is one of the most common cancers in the male population, its basic biological function at a cellular level remains to be fully understood. This lack of in depth understanding of its physiology significantly hinders the development of new, targeted and more effective treatment strategies. Whilst electrophysiological studies can provide in depth analysis, the possibility of recording electrical activity in large populations of non-neuronal cells remains a significant challenge, even harder to address in the picoAmpere-range, which is typical of cellular level electrical activities. In this paper, we present the measurement and characterization of electrical activity of populations of prostate cancer cells PC-3, demonstrating for the first time a meaningful electrical pattern. The low noise system used comprises a multi-electrode array (MEA) with circular gold electrodes on silicon oxide substrates. The extracellular capacitive currents present two standard patterns: an asynchronous sporadic pattern and a synchronous quasi-periodic biphasic spike pattern. An amplitude of ±150 pA, a width between 50–300 ms and an inter-spike interval around 0.5 Hz characterize the quasi-periodic spikes. Our experiments using treatment of cells with Gd3⁺, known as an inhibitor for the Ca2⁺ exchanges, suggest that the quasi-periodic signals originate from Ca2⁺ channels. After adding the Gd3⁺ to a population of living PC-3 cells, their electrical activity considerably decreased; once the culture was washed, thus eliminating the Gd3⁺ containing medium and addition of fresh cellular growth medium, the PC-3 cells recovered their normal electrical activity. Cellular viability plots have been carried out, demonstrating that the PC-3 cells remain viable after the use of Gd3⁺, on the timescale of this experiment. Hence, this experimental work suggests that Ca2⁺ is significantly affecting the electrophysiological communication pattern among PC-3 cell populations. Our measuring platform opens up new avenues for real time and highly sensitive investigations of prostate cancer signalling pathways.

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