Patent classifications
A61B5/4005
System and method to capture image of pinna and characterize human auditory anatomy using image of pinna
An image of a pinna is captured. Based on the image of the pinna, a non-linear transfer function is determined which characterizes how sound is transformed at the pinna. A signal is output indicative of one or more audio cues to facilitate spatial localization of sound via the pinna, where the one or more audio cues is based on the non-linear transfer function.
APPARATUS FOR MOTOR IMAGERY TRAINING COMBINED WITH SOMATOSENSORY STIMULI AND OPERATION METHOD THEREOF
Disclosed is an apparatus for a motor imagery training, which includes a measuring unit that measures a brain signal while a user performs a motor imagery training, a preprocessing unit that performs preprocessing with respect to the brain signal, a feature extraction unit that selects a time period including information related to a motor imagery from the preprocessed brain signal and calculates feature data corresponding to the brain signal of the selected time period, and a classification unit that classifies the brain signal into one of a plurality of classes based on the feature data, and the motor imagery training is any one of a first training in which the user imagines moving a body part and a second training in which the user imagines feeling a somatosensory stimuli of a tangible object using the body part.
IDENTIFYING SENSORY INPUTS AFFECTING WORKING MEMORY LOAD OF AN INDIVIDUAL
In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.
Apparatus and method for restoring voluntary control of locomotion in neuromotor impairments
It is disclosed an apparatus for restoring voluntary control of locomotion in a subject suffering from a neuromotor impairment comprising a multidirectional trunk support system and a device for epidural electrical stimulation. The robotic interface is capable of evaluating, enabling and training motor pattern generation and balance across a variety of natural walking behaviors in subjects with neuromotor impairments. Optionally, pharmacological cocktails can be administered to enhance rehabilitation results. It is also disclosed a method for the evaluation, enablement and training of a subject suffering from neuromotor impairments by combining robotically assisted evaluation tools with sophisticated neurobiomechanical and statistical analyzes. A method for the rehabilitation (by this term also comprising restoring voluntary control of locomotion) of a subject suffering from a neuromotor impairment in particular partial or total paralysis of limbs, is also disclosed.
Multi-factor control of ear stimulation
- Eleanor V. Goodall ,
- Roderick A. Hyde ,
- Muriel Y. Ishikawa ,
- Jordin T. Kare ,
- Melanie K. Kitzan ,
- Eric C. Leuthardt ,
- Mark A. Malamud ,
- Stephen L. Malaska ,
- Nathan P. Myhrvold ,
- Brittany Scheid ,
- Katherine E. Sharadin ,
- Elizabeth A. Sweeney ,
- Clarence T. Tegreene ,
- Charles Whitmer ,
- Lowell L. Wood, Jr. ,
- Victoria Y. H. Wood
Systems and related methods for controlling an ear stimulation device with a personal computing device are described. Multiple factors, including a mood of the user, a user control input, and a secondary factor input are used in controlling the ear stimulation device. Secondary factors include, a variety of factors relating to or influencing the state of the user, including but not limited to, environmental conditions, sleep, diet, or various activities of the user. User inputs can be open-ended or selected from a menu, for example. In an aspect, a correlation module correlates mood of the user to other factors, and control of stimulation is based thereon. In various aspects, the system is also responsive to inputs from sensors or computing networks. In an aspect, the earpiece delivers an audio output such as music from an audio player.
Filament device and corresponding manufacturing methods
A device (901) is manufactured from a sheet layer (100) defining a plurality of panels (101,102,103). Each panel is connected to at least one other panel along a common edge (104). A perforation (105) extends along the common edge and defines a separation location allowing the each panel to be separated from adjoining panels when an applied force pulls each panel away from the adjoining panels. A score line (115) bisects each panel and is oriented orthogonally with the perforation. The score line allows a first portion (116) of each panel to fold about the score line to abut a second portion (117) of each panel. An adhesive (501), disposed along the first portion, retains the first portion to the second portion, as well as retains the filament between the first portion and the second portion.
NEURAL CO-PROCESSOR FOR RESTORATION AND AUGMENTATION OF BRAIN FUNCTION AND ASSOCIATED SYSTEMS AND METHODS
Systems and methods for restoring or augmenting neural function by inducing new neural connections in a nervous system of a human patient or able-bodied individual are disclosed. One method for inducing new neural connections to restore lost neural function or augment neural function includes receiving neural signals from the nervous system of the individual and/or signals from an external sensor or information source. A stimulation pattern is generated based on (a) the neural signals and/or external information sources, and (b) a neural model, and the stimulation pattern is output to the nervous system of the individual. Stimulation of the nervous system based on the stimulation pattern computed by the neural model produces a measureable output by the individual. An error signal can be determined based at least in part on the measureable output and a desired output, and the neural model can be adjusted based on the error signal.
Systems and methods for use in treating sensory impairment
Methods and systems for use in treating one or more patient's sensory impairment, e.g., associated with peripheral neuropathy. An exemplary system may be configured to generate treatment information for treating sensory impairment in at least one body portion using photonic energy from a therapeutic laser based on data indicative of damage.
Apparatus and method for restoring voluntary control of locomotion in neuromotor impairments
It is disclosed an apparatus for restoring voluntary control of locomotion in a subject suffering from a neuromotor impairment comprising a multidirectional trunk support system and a device for epidural electrical stimulation. The robotic interface is capable of evaluating, enabling and training motor pattern generation and balance across a variety of natural walking behaviors in subjects with neuromotor impairments. Optionally, pharmacological cocktails can be administered to enhance rehabilitation results. It is also disclosed a method for the evaluation, enablement and training of a subject suffering from neuromotor impairments by combining robotically assisted evaluation tools with sophisticated neurobiomechanical and statistical analyzes. A method for the rehabilitation (by this term also comprising restoring voluntary control of locomotion) of a subject suffering from a neuromotor impairment in particular partial or total paralysis of limbs, is also disclosed.
A SYSTEM FOR TREATING VISUAL NEGLECT
A system for treating visual neglect comprises a virtual reality headset and an input for receiving functional MRI, fMRI, scanner images. During an initial analysis phase, visual images are generated for presentation to the user via the virtual reality headset at different angular and depth positions relative to the user. The fMRI images are processed to monitor brain activity relating to visual perception, eye movement generation and visual awareness of an object in response to the generated visual images. In this way, a 3D map is derived of the visual awareness of the user, for use in treating the visual neglect.