Chronically implantable, closed-loop neuromodulation devices with concurrent sensing and stimulation hold promise for better understanding the nervous system improving therapies neurological disease. Concurrent are needed to maximize usable neural data, minimize time delays actuation, investigate instantaneous response stimulation. Current systems lack primarily because of interference signals interest. While careful design high performance amplifiers has proved useful reduce disturbances in...

A bi-directional neural interface (NI) system was designed and prototyped by incorporating a novel recording processing subsystem into commercial stimulator architecture. The NI prototype leverages the infrastructure from an existing neurostimulator to ensure reliable operation in chronic implantation environment. In addition providing predicate therapy capabilities, device adds key elements facilitate research, such as four channels of electrocortigram/local field potential amplification...

While modulating neural activity through stimulation is an effective treatment for neurological diseases such as Parkinson's disease and essential tremor, opportunity improving neuromodulation therapy remains in automatically adjusting to continuously optimize patient outcomes. Practical issues associated with achieving this include the paucity of human data related states, poorly validated estimators state, unknown dynamic mappings optimal parameters based on estimated states. To overcome...

Background The supporting structure of high-temperature gas-cooled reactors (HTGR) comprises over 3000 carbon/graphite components, necessitating computed tomography (CT) non-destructive testing before operational deployment as per reactor technical specifications. However, CT images are frequently marred by severe ring artifacts due to the response non-uniformity and non-linearity detector units, which diminishes ability detect defects effectively. Methods To address this issue, we propose a...

Statistical noise may degrade the x-ray image quality of digital radiography (DR) system.This corruption can be alleviated by extending exposure time detectors and increasing intensity radiation.However, in some instances, such as security check medical imaging examination, system demands rapid low-dose detection.In this study, we propose test a generative adversarial network (GAN) based denoising method.Images used study were acquired from system.Promising results have been obtained our...

An implantable bi-directional brain-machine interface (BMI) prototype is presented. With sensing, algorithm, wireless telemetry, and stimulation therapy capabilities, the system designed for chronic studies exploring closed-loop diagnostic opportunities neuroprosthetics. In particular, we hope to enable fundamental research into physiology of neurological disorders, define key electrical biomarkers related disease, apply this learning patient-specific algorithms therapeutic diagnostics. The...

A prototype bi-directional neural interface system is presented with closed-loop and embedded DSP capabilities. The includes 32-electrode stimulation capability, eight multiplexed low-noise low-power bio-potential sensing channels on-chip digital FFT, a Cortex M3-based microcontroller for implementing algorithms. subsystem can provide maximum current of 12mA approximately 3% accuracy per channel. uses fully differential chopping amplifier achieving noise floor <;100nV/rtHz 1μA from 2V...

The use of light-activated modulation techniques, such as optogenetics, is growing in popularity for enabling basic neuroscience research. It also being explored advancing more applied applications like therapeutic neuromodulation. However, current hardware systems are generally limited to acute measurements or require external tethering the system light source. This paper presents an implantable prototype techniques that modulate neurological state through optically-activated channels and...

While action video games have been shown effective for training attention, little research has explored how to effectively utilize haptic interaction in these attention modulation and training. In this paper, we introduce a visuo-haptic game combining fingertip force control with an immersive visual display. the proposed stimulus-reaction game, users are required press sensor using either index or middle finger from both hands. order be successful trial, must respond swiftly cues by...

Low dose and sparse view CT are effective approaches to reduce the radiation accelerate scan speed. Images reconstructed from insufficient data acquired low associated with severe streaking artifacts. Therefore, reducing will further degrade imaging quality. Several attempts have been made remove these artifacts using deep learning methods such as CNN. Although for reconstruction gained impressive successes, results still over-smooth. In this work, we propose an reduction method sparse-view...

To present information using vibrotactile stimuli in wearable devices, it is fundamental to understand human performance of localizing cues across the skin surface. In this paper, we studied ability identify locations multiple activated simultaneously on both arms. Two haptic bands were mounted proximity elbow and shoulder joints each arm, two motors band provide vibration dorsal palmar side arm. The localization under four conditions compared, with number varying from one condition....

Circuit design is one of the key technologies for enabling implantable medical devices. Understanding electrode model as well associated electrochemical processes important successful circuit these Managing power consumption and noise (thermal 1/f ) while meeting application-specific requirements neural sensing, safety absolutely essential stimulation.

While serving as the core technology of many neurological therapies, electrical stimulation suffers from several drawbacks. Constraints on electrode geometry and placement can result in an inability to modulate specific neural populations, non-target networks cause undesirable side-effects. Conducting electrodes tissue also restrict level tolerated EM exposure modalities like MRI electrosurgery, large currents undermine ability simultaneously sense underlying activity when implementing a...

The paper gives an overview on the technologies to revolutionize general healthcare, in particular through implantable-device industry. It focuses topics such as: implantable device design; smart interfaces; information management; energy supplies and power system level integration.

Digital radiography system is widely used for noninvasive security check and medical imaging examination.However, the has a limitation of lower image quality in spatial resolution signal to noise ratio.In this study, we explored whether acquired by digital can be improved with modified convolutional neural network generate high-resolution images reduced from original low-quality images.The experiment evaluated on test dataset, which contains 5 X-ray images, showed that proposed method...

Package is a critical part in biomedical implantable systems. Many factors affecting the host body and life time of systems need to be considered. becomes more for microfabricated with wireless charging communication. This paper presents first phase study on micro package techniques short term (30 90 days) A MEMS telemetry model system was designed packaging evaluation. The transmitter custom fabricated using MOSIS processes an external receiver built data collection. For systems, medical...

The neurophysiological characteristics of sustained attention states are unclear in discrete multi-finger force control tasks. In this article, we developed an immersive visuo-haptic task for conducting stimulus-response measurements. Visual cues were randomly provided to signify the required amplitude and tolerance fingertip force. Participants respond visual by pressing transducers using their fingertips. Response time variation was taken as a behavioral measure during task. 50%...

X-ray is widely used in security inspection systems for nondestructive testing, aiding staff identifying dangerous goods. Higher signal-to-noise ratio and resolution radiation images can significantly enhance the staff’s ability to detect potential threats. This article introduces a novel data augmentation (DA) method aimed at improving performance of neural network models noise reduction super-resolution (SR) reconstruction (such as EDSR, RCAN, so on). The proposed enables be region-aware,...

We briefly describe a dynamic control system framework for neuromodulation epilepsy, with an emphasis on its practical challenges and the preliminary validation of key prototype technologies in chronic animal model. The current state can be viewed as classical such that nervous is “plant”, neural stimulator controller/actuator, clinical observation, patient diaries and/or measured bio-markers are sensor, judgment applied to these sensor inputs forms estimator. Technology potentially address...

This paper describes the preliminary technology validation of a bi-directional neural interface in an awake large animal model (ovine). The device addresses major requirements chronic research system, including operation within implantable environment and electrical stimulation with concurrent bioelectric sensing. Preliminary measurements network dynamics demonstrate that chronically stable to nervous system is achievable. was shown through impedance evoked potential thalamo-cortical circuit...

This paper reports the micro-power telemetry unit that can sense pressure, humidity, and bio-potentials, for study of micro-package techniques implantable biomedical micro-systems used in research, diagnosis therapy. The is aimed to develop demonstrate technology micro-implants have an implant life 0.2 2.0 years. device consumes <; 1.0 μA at 3 volts, with a volume cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> including lithium...