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Brain signals deliver first targeted treatment for world’s most common movement disorder
Brain signals first targeted treatment world’s most common movement disorder
2017/7/24
Essential tremor is the world’s most common movement disorder, affecting an estimated 7 million people in the U.S. alone. The hallmark of this disease is an involuntary, rhythmic shaking during intent...
Restoring the sense of touch in amputees using natural signals of the nervous system
sense of touch amputees natural signals nervous system
2016/11/4
Scientists at the University of Chicago and Case Western Reserve University have found a way to produce realistic sensations of touch in two human amputees by directly stimulating the nervous system.T...
Scientists decode brain signals nearly at speed of perception
Scientists decode brain signals nearly speed of perception
2016/2/22
Using electrodes implanted in the temporal lobes of awake patients, scientists have decoded brain signals at nearly the speed of perception. Further, analysis of patients’ neural responses to tw...
A digitally invertible universal amplifier for recording and processing of bioelectric signals
digital invert amplifier
2015/1/12
The recording and processing of bioelectric signals over the decades has led to the development of many different types of analog filtering and amplification techniques. Meanwhile, there have also bee...
A joint project between Queensland and Chinese researchers to derive sugars from sorghum could result in extraordinary social, economic and environmental benefits for future generations.
Effects of liquid stimuli on dual-axis swallowing accelerometry signals in a healthy population
liquid stimuli dual-axis accelerometry signals a healthy population
2010/2/25
Dual-axis swallowing accelerometry has recently been proposed as a tool for non-invasive analysis of swallowing function. Although swallowing is known to be physiologically modifiable by the type of f...
The combined effect of nonlinear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals
Cardiac elastography Motion estimation Nonlinear image filtration
2010/1/6
In cardiac elastography, the regional strain and strain rate imaging is based on displacement estimation of tissue sections withinthe heart muscle carried out with various block-matching techniques (c...
Stochasic analysis of recurrence plots with applications to the detection of deterministic signals
Stochasic analysis recurrence plots the detection deterministic signals
2009/12/23
Stochasic analysis of recurrence plots with applications to the detection of deterministic signals.
Classification of BMI control commands from rat's neural signals using extreme learning machine
BMI control rat's neural signals extreme learning machine
2010/2/25
A recently developed machine learning algorithm referred to as Extreme Learning Machine (ELM) was used to classify machine control commands out of time series of spike trains of ensembles of CA1 hippo...
Role of Calcium Signals on Hydrogen Peroxide-Induced Apoptosis in Human Myeloid HL-60 Cells
caspases calcium signal apoptosis mitochondria H2O2 HL-60 cells
2009/10/26
The present study is aimed to determine the role of calcium signaling evoked by the oxygen radical, hydrogen peroxide (H2O2) and the specific inhibitor of calcium reuptake thapsigargin on apoptosis in...
Assessment of inter-rater agreement on the grading of intravascular bubble signals
exercise decompression
2009/7/8
Transcutaneous Doppler ultrasonic bubble detectors are widely used in decompression research. However, interpretation of the complex acoustic signals from the bubble detectors involves a degree of sub...
A Study on a Recognition Method for Specific Motions by Processing Outputs of Artificial Neural Networks with Different Input Signals
control command artificial neural network motion recognition motor paralysis
2009/6/9
This paper studies improvement of the clinical practicality of the control command input method for motor disabled patients using the recognition of specific motions via an artificial neural network (...
Development of Human Sensory Estimation Method and Massage Control Method Based on Vital Signals of Autonomic Nervous System When Using a Massage Chair
peripheral skin temperature pulse galvanic skin response quality of comfortableness massage chair
2009/6/9
This paper describes the development of a sensor incorporating an algorithm that estimates the quality of comfortableness by measuring peripheral skin temperature, pulse, and galvanic skin response (G...
Agreement between trained and untrained observers in grading intravascular bubble signals in ultrasonic images
decompression intravascular
2009/6/8
In our experience, it is easier to identify gas bubbles in ultrasonic images than in aural Doppler signals. To verify this, we asked 27 observers with no previous training to estimate the quantity of ...
Neural network committees for finger joint angle estimation from surface EMG signals
Neural network committees surface EMG signals
2010/2/25
In virtual reality (VR) systems, the user's finger and hand positions are sensed and used to control the virtual environments. Direct biocontrol of VR environments using surface electromyography (SEMG...