A5069488628- Advancements in PLL and VCO Technologies
- Advanced Frequency and Time Standards
- stochastic dynamics and bifurcation
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Advanced Electrical Measurement Techniques
- Nuclear Physics and Applications
- Functional Brain Connectivity Studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Advanced Optical Sensing Technologies
- Atomic and Subatomic Physics Research
- Probabilistic and Robust Engineering Design
- Semiconductor Lasers and Optical Devices
- EEG and Brain-Computer Interfaces
- Particle physics theoretical and experimental studies
- Nuclear reactor physics and engineering
- Heart Rate Variability and Autonomic Control
- Photonic and Optical Devices
- Traumatic Brain Injury and Neurovascular Disturbances
- Traumatic Brain Injury Research
- Chaos-based Image/Signal Encryption
- Radiation Detection and Scintillator Technologies
Benemérita Universidad Autónoma de Puebla
2020-2024
Universidad Nacional Autónoma de México
2022-2023
Universidad Politécnica de Tulancingo
2019
National Institute of Astrophysics, Optics and Electronics
2016
This paper introduces a Trimmed-Tapped-Delay-Line-based Time-to-Digital Converter (TTDL-TDC) architecture. Unlike state-of-the-art works, where the propagation time of TDL is roughly equivalent to system clock period, proposed architecture can be shortened use only 63% necessary length propagate cycle without loss resolution. To achieve this reduction, signal propagated throughout Trimmed (TTDL), capturing its position with rising edge latching signal. An encoder based on transition...
Traumatic brain injury (TBI), resulting from external forces, is a leading cause of disability and death, often to cognitive deficits that affect attention, concentration, speech language, learning memory, reasoning, planning, problem-solving. Given the diverse mechanisms underlying TBI symptoms, it essential characterize its neurophysiological neuropsychological effects. To address this, we employed weighted coherence (WC) analysis in patients performing Halstead-Reitan categorization task,...
In this article, motor imagery Electro-Encephalographic (EEG) signals for Brain-Computer interfaces (BCI) are processed under a weak signal detection (WSD) paradigm, with the goal to improve low EEG Signal Noise Ratio (SNR). Based on our previous results, Stochastic resonance (SR) is proposed, as WSD method signals, first time. This novel methodology takes advantage of noise transitions non-linear, bi-stable, double well system. These synchronized brain oscillations embedded in signal,...
A brain-machine interface (BMI), is a device or experimental setup that receives brain signal, classifies it, and then uses it as computer command. Even if large amounts of work exist in the field, there not consensus on which kind learning methodology (deep learning, convolutional networks, AI, etc.) and/or type algorithms each methodology, are best to run BMIs. The aim this was build low-cost, portable, easy-to-use reliable BMI based Motor Imagery Electro-encephalography. To end, different...
<p>Cryptographic algorithms have played an important role in information security for protecting privacy. The literature provides evidence that many types of chaotic cryptosystems been proposed. These systems encode to obviate its orbital instability and ergodicity. In this work, a pseudo-random cryptographic generator algorithm with symmetric key, based on functions, is Moreover, the exploits dynamic simplicity synchronization generate encryption sub-keys using unpredictable seeds,...
The Silicon Photomultipliers (SiPMs) are commonly used in the construction of radiation detectors such as those high energy experiments and its applications where an excellent time resolution is required for triggering. In most this cases, trigger systems electric charge information discarded due to limitations data acquisition. work we propose a method, using simple detector based on organic plastic scintillator 2×2×0.3 cm3 size, estimate obtained from acquisition fast output signal SensL...
Time-to-Digital Converters (TDCs) are instruments used to measure time intervals from digital signals accurately. They play an essential role in areas such as Light Detection and Ranging (LiDAR), Positron Emission To-mography (PET) [1] Particle Physics Experiments (PPE) [2]. Particularly, PPE involves the identification of particles resulting collisions accelerators. The estimation is carried out by measuring their Time Flight (ToF) deposited charge scintillator materials, becoming a...
The Multipurpose Detector (MPD) is an experimental array, currently under construction, designed to study the nuclear matter created during collisions that will be provided by Nuclotron-based Ion Collider fAcility (NICA) at JINR. MPD-NICA experiment consists of a typical array particle detectors as those used heavy-ion LHC and RHIC. To increase trigger capabilities MPD for stage 2 NICA operation, detector conformed two arrays 80 plastic scintillator cells each located symmetrically opposite...