Patent classifications
A61B2505/09
Exoskeleton wear management system and exoskeleton wear management method
An exoskeleton wear management method is provided. The method includes receiving inertial data from a sensing system; determining whether a left leg component of an exoskeleton device is parallel to a left leg of a user and a right leg component of the exoskeleton device is parallel to a right leg of the user according to the received inertial data; in response to determining that the left leg component/the right leg component is not parallel to the left leg/the right leg of the user, prompting an adjusting left leg component message/an adjusting right leg component message; and in response to determining that the left leg component is parallel to the left leg of the user and the right leg component is parallel to the right leg of the user, prompting a left leg component and right leg component correctly-worn message.
SYSTEMS AND METHODS FOR AN ARTIFICIAL INTELLIGENCE ENGINE TO OPTIMIZE A PEAK PERFORMANCE
The present disclosure provides a method for performing a treatment plan, wherein the method comprises: receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan; receiving second patient data, wherein the second patient data includes a second patient identifier associated with the second patient and a second treatment plan; receiving first measurement data associated with a first performance level of the first treatment plan by the first patient; receiving second measurement data associated with a second performance level of the second treatment plan by the second patient; determining differential data, wherein the determining is based on a contrast of the first or the second measurement data or first or second patient data; and generating, based on the differential data, an instruction to modify an operating state of the treatment apparatus.
GUIDANCE METHOD FOR MOTOR IMAGERY AND APPARATUS THEREOF
Provided is a technique that trains motor imagery to reinforce brain waves, and a guidance method for motor imagery displays virtual reality including a virtual body part corresponding to a user's real body part the user, detects a movement of the real body part through a motion sensor to track a motion, and visually displays the movement of the virtual body part through the virtual reality according to the tracked motion to induce an ownership feeling that makes the user mistake the virtual body part for the real body part.
Haptic system for providing a gait cadence to a subject
A haptic system for providing a gait cadence to a subject comprising a portable telecommunication device with a control unit and a wireless transmission means; a vibrotactile device configured to be tightly worn on a portion of the subject's body, including at least one motor configured to generate vibrations that can be perceived by the subject and an actuation unit configured to actuate the motor. The actuation unit is configured to receive wireless signals from the wireless transmission means of the portable telecommunication device and to cause the motor to produce vibrations responsive to the wireless signals. In the control unit a generation program is resident configured to generate cadence signals and to transmit the wireless signals responsive to the cadence signals by the wireless transmission means to the actuation unit. The generation program is configured to provide corresponding cadence pulses to the motor.
WRITING INSTRUMENT, SYSTEM AND METHOD FOR TRANSPARENT MONITORING AND ANALYSIS OF WRITING
A writing instrument that includes a writing element for depositing a writing material on a support and a plurality of sensors including at least a force sensor and a movement sensor, a communication unit that exchanges data with a remote device a control unit connected to the sensors and to the communication unit in order to transmit to the remote device the measurements provided by the sensors, a memory unit connected to the control unit that stores one or more measurements from the sensors; and a hollow casing that contains at least part of the writing element so that the writing end is exposed, and also houses the sensors, the control unit, the memory unit and the communication unit.
WALKING TRAINING SYSTEM, CONTROL METHOD THEREOF, AND CONTROL PROGRAM
A walking training system according to the present embodiment includes: a treadmill; a load distribution sensor that is provided on a lower side of a belt of the treadmill so as not to move together with the belt and that detects a distribution of a load received from a sole of a trainee riding on the belt of the treadmill; an extraction unit that extracts a load distribution in a region corresponding to a position of the sole of the trainee during walking training, out of a load distribution detected by the load distribution sensor; and a determination unit that determines a walking state of the trainee based on the load distribution extracted by the extraction unit.
POINT-OF-CARE ASSESSMENT SYSTEM
A system for assessment of neurocognitive and neuromotor control performance, the system comprising a portable force plate configured to collect force plate data indicative of movement and postural control of a subject as the subject performs a task, a depth sensing device configured to, simultaneously with the collection of the force plate data, collect depth data of the subject as the subject performs the task, an interface board configured to, simultaneously with the collection of the force plate data and the collection of the depth data, generate stimuli to instruct the subject to perform a particular task and to generate interface board data indication of input received from the subject in response to the stimuli, and a computer-based controller configured to execute one or more neurocognitive and neuromotor control performance assessment program to analyze the force plate data, the depth data, and the interface board data.
System and method for ankle rehabilitation
A system for ankle rehabilitation includes a motorized platform arranged to hold an ankle of a subject to be rehabilitated; a first sensor module arranged to detect signals representing movement intention of the ankle on the motorized platform; a second sensor module arranged to detect signals representing actual movement of the ankle on the motorized platform; and a processor arranged to process the signals detected by the first sensor module and the signals detected by the second sensor module, for control of movement of the motorized platform.
System and method for estimating cardiovascular fitness of a person
The present invention relates to a system (1) for estimating cardiovascular fitness of a person, comprising a heart rate monitor (10) for acquiring a heart rate signal including information about the heart rate of the person, an activity monitor (20) for acquiring an activity signal indicative of physical activity of the person, a classifier (30) for classifying the activity of the person based on the acquired activity signal, a selector (40) for selecting one or more heart rate features obtained from the acquired heart rate signal based on the acquired heart rate signal and the classification of the activity for use in an estimation of the cardiovascular fitness of the person, and an estimator (50) for estimating the cardiovascular fitness of the person based on the one or more selected heart rate features.
Signal processing for decoding intended movements from electromyographic signals
A technology is described for determining an intended movement from neuromuscular signals. An example method (800) includes receiving electromyography (EMG) data corresponding to single-ended channels of an electrode array (810), where EMG signals are detected by electrodes comprising the single-ended channels of the electrode array and the EMG signals are converted to the EMG data. Determining differential channel pairs for the single-ended channels of the electrode array (820) and extracting feature data from the EMG data of the differential channel pairs (830). Thereafter a feature data set is selected from the feature data of the differential channel pairs (840) and the feature data set is input to a decode model configured to correlate the feature data set to an intended movement (850). Decode output is received from the decode model indicating the intended movement (860) and the decode output is provided to a device (870).