Peripheral nerves provide access to highly processed and segregated neural command signals from the brain that control skeletal muscles. Detecting these could lifelike, intuitive of high-degree-of-freedom prosthetic limbs. However, detection individual fascicle activity within a nerve has not yet been accomplished without compromising nerve. The purpose this study was detect fascicular-level in freely moving animals with nonpenetrating cuff electrodes. Three dogs were implanted 16-contact...

The present work examined the handgrip force at different anatomical positions for both hands. Anthropometrics, force, and fatigue were obtained from a representative sample of 20 males randomly selected German Jordanian University students. hand dynamometer first was calibrated with respect to volunteer’s maximal grip strength, he then asked squeeze maximally until decreased 50% its due fatigue; this test performed hands 2 min rest recovery muscle function. results showed differences in...

Objective. Peripheral nerves carry neural signals that could be used to control hybrid bionic systems. Cuff electrodes provide a robust and stable interface but the recorded signal amplitude is small (<3 μVrms 700 Hz–7 kHz), thereby requiring baseline noise of less than 1 for useful signal-to-noise ratio (SNR). Flat nerve electrode (FINE) contacts alone generate thermal at least 0.5 therefore amplifier should add as little possible. Since mainstream amplifiers have 2 or higher, novel designs...

Many attempts have been made to manufacture multi-contact nerve cuff electrodes that are safe, robust and reliable for long term neuroprosthetic applications. This protocol describes a fabrication technique of modified cylindrical electrode meet these criteria. Minimum computer-aided design manufacturing (CAD CAM) skills necessary consistently produce cuffs with high precision (contact placement 0.51 ± 0.04 mm) various sizes. The in spatially distributing the contacts ability retain...

Multi-channel cuff electrodes have recently been investigated for extracting fascicular-level motor commands from mixed neural recordings. Such signals could provide volitional, intuitive control over a robotic prosthesis amputee patients. Recent work has demonstrated success in these acute and chronic preparations using spatial filtering techniques. These extracted signals, however, had low signal-to-noise ratios thus limited their utility to binary classification. In this new algorithm is...

Abstract Study Objectives Individuals with obstructive sleep apnea (OSA), characterized by frequent disruptions from tongue muscle relaxation and airway blockage, are known to benefit on-demand electrical stimulation of the hypoglossal nerve. Hypoglossal nerve (HNS) therapy, which activates protrusor muscles during inspiration, has been established in multiple clinical studies as safe effective, but mechanistic understanding for why some parameters work better than others not thoroughly...

Interfaces with the peripheral nerve provide ability to extract motor activation and restore sensation amputee patients. The chronically activations from nervous system remains an unsolved problem. In this study, chronic recordings Flat Interface Nerve Electrode (FINE) are employed recover levels of innervated muscles. FINEs were implanted on sciatic nerves canines, neural obtained as animal walked a treadmill. During these trials, electromyograms (EMG) surrounding hamstring muscles...

There is a need for seizure classification based on EEG signals that can be implemented with portable device in-home continuous minoring of epilepsy. In this study, we developed novel machine learning algorithm detection suitable wearable systems. Extreme gradient boosting (XGBoost) was to classify seizures from single-channel obtained an open-source CHB-MIT database. The results classifying 1-s segments are shown sufficient obtain the information needed and achieve high sensitivity up 89%...

This paper presents an implementation of a practical and low-cost hardware-based control system for multifunctional myoelectric hand prostheses. The model utilizes mode-switching technique in order to voluntarily the operation dual-mode prosthetic device two degrees freedom: grasp/release pronation/supination. was designed specifically cater increasing needs patients developing countries, where prostheses are scarce extremely expensive. design relied entirely on locally-available commercial...

Many attempts have been made to manufacture multi-contact nerve cuff electrodes that are safe, robust and reliable for long term neuroprosthetic applications. This protocol describes a fabrication technique of modified cylindrical electrode meet these criteria. Minimum computer-aided design manufacturing (CAD CAM) skills necessary consistently produce cuffs with high precision (contact placement 0.51 ± 0.04 mm) various sizes. The in spatially distributing the contacts ability retain...

Gripping force modulation based on pressure feedback is an essential element for intuitive and natural-like control of powered limb prostheses. This paper aims to mimic human hand-gripping in robotic arms by processing dynamic maps with state-of-the-art artificial intelligence algorithms. A pressure-sensing glove was built integrated data acquisition learn grip behavior when holding various objects, then transfer the observed pattern a arm. The readings are processed using recurrent...

Abstract This work aims to introduce simple-to-implement modifications the elliptical trainer device increase its utility with added new exercise options. The effectiveness of introduced was assessed on 51 subjects, representing recruitment a broader range muscle groups desired intensity levels. improvements include in-phase mode, where bilateral body synchronization creates skiing-like motion, and variable motion through adjusting stride length rotating-link mechanism. impact these by...

The aim of this work is to apply Random Forest algorithm classify REM and NREM sleep stages from a single-channel EEG. training performance evaluation classifier was performed on open-access data (Physiobank SLEEP-EDF database). A total 5 features were extracted 30 s epochs non-overlapping windows. proposed has achieved an accuracy 93.09% Cohen's kappa 0.90. can be implemented portable microprocessing unit for in-home neuro-monitoring applications.

There is a need for an automated morphometry algorithm to facilitate the otherwise labor-intensive task of quantitative histological analysis neural microscopic images. A benchmark convolutional network Axondeepseg (ADS), which yields high segmentation accuracy scanning and transmission electron microscopy Nevertheless, it shows decreased when applied optical images, has been observed yield sizable false positives identifying small-sized neurons within slides. In this study, ensemble...