An assistance apparatus includes a first wire and a second wire that couple an upper-body belt and a left knee belt to each other on or above a front part and back part of the body of a user, respectively, a third wire and a fourth wire that couple the upper-body belt and a right knee belt to each other on or above the front part and back part of the body of the user, respectively, a motor, a left sensor on the left hand of the user, and a right sensor on the right hand of the user. When a force is applied to the left sensor and no force is applied to the right sensor, the motor makes the tension of the second wire and the third wire greater than the tension of the first wire and the fourth wire. When a force is applied to the right sensor and no force is applied to the left sensor, the motor makes the tension of the first wire and the fourth wire greater than the tension of the second wire and the third wire.

An assistance apparatus includes wires, each of which couples an upper-body belt and one of left and right knee belts to each other, and a motor. When the assistance apparatus assists a user in walking backward while carrying an object, the motor generates, in a gait phase of a left leg, a tension greater than or equal to a second threshold value in a second wire during a fifth period other than a first period during which a tension greater than or equal to a first threshold value is generated, and a tension less than the second threshold value in a first wire during a sixth period other than a second period during which a tension greater than or equal to the first threshold value is generated, and generates, in a gait phase of a right leg, a tension greater than or equal to the second threshold value in a fourth wire during a seventh period other than a third period during which a tension greater than or equal to the first threshold value is generated, and a tension less than the second threshold value in a third wire during an eighth period other than a fourth period during which a tension greater than or equal to the first threshold value is generated.

A system for treating a patient with neurological disorders of movement includes a patient computing device for use in rehabilitative training and a sensor worn about a body part being rehabilitated. A healthcare computing device is used by a healthcare professional to assist remote patient rehabilitation by accepting input signals and determining for the patient a rehab protocol depending on selected parameters, and determining for the patient a behavior shaping target depending on selected parameters and the rehab protocol and behavior shaping target is communicated to the patient while the patient is undergoing rehabilitation. A plurality of remote health data sites and other public repositories of health data of patients undergoing rehabilitation following neurological events can be included. The remote computing device can include a data repository of publicly available patient data and patient data gathered by system of present invention.

An assistance apparatus includes a first and second wires coupling an upper-body belt and a left knee belt to each other on or above a front and back parts of a body of a user, respectively, a third and fourth wires coupling the upper-body belt and a right knee belt to each other on or above the front and back parts, respectively, a motor, a first sensor that detects at least tensions of the first and third wires, and a control circuit. The control circuit controls the motor to generate, when the first wire is broken, in the second wire, a tension less than a tension of the second wire during no break in the first wire, and to generate, when the third wire is broken, in the fourth wire, a tension less than a tension of the fourth wire during no break in the third wire.

A handheld device configured to provide tactile stimulation to a head of a human user. The handheld device comprises an outer housing sized and shaped to fit ergonomically and substantially within a hand of the human user. The outer housing defines an internal space and skin facing surface for placement adjacent to or proximate the user's head. A controller is contained within internal space of the outer housing, wherein the controller is configured to generate a signal corresponding to a pattern sequence. A vibration unit is in electronic communication with the controller, the vibration unit being configured to be actuated in response to a signal from the controller so as to generate vibrations that correspond to the pattern sequence.

A walking assistance device may be controlled using a personalized gait policy. A preset event is detected during a current gait cycle based on state information associated with a motion of the walking assistance device, a reward value of state information associated with the motion is evaluated at a point in time at which the event is detected, and a personalized gait policy is updated based on state information associated with the motion when updating of the personalized gait policy is determined to be required based on the reward value.

A system for obtaining and analyzing data for overall joint motion from a plurality of joints of a subject experiencing a movement disorder involves a plurality of kinematic sensors configured to be placed on a body of a subject experiencing a movement disorder proximal a plurality of joints of the subject. The kinematic sensors are selected to measure overall joint motion with sufficient degrees of freedom for individual joints so that data collected by the sensors can be deconstructed into multiple degrees of freedom for individual joints and analyzed to provide amplitude of the movements caused by the movement disorder and/or relative contributions from and/or directional bias for each muscle group that may be implicated in the movement of each joint. Such a system permits methods for determining a treatment regimen for treating the movement disorder, whereby the treatment regimen is based on the amplitude of the movements and/or the relative contribution and/or directional bias of each muscle group to the movements caused by the movement disorder.

In at least one aspect, there is provided a system for generating force about one or more joints including a soft exosuit having a plurality of anchor elements and at least one connection element disposed between the plurality of anchor elements. The system also includes at least one sensor to determine a force the at least one connection element or at least one of the plurality of anchor elements and to output signals relating to the force, at least one actuator configured to change a tension in the soft exosuit and at least one controller configured to receive the signals output from the at least one sensor and actuate the at least one actuator responsive to the received signals.

A system and method determines a user's compliance with a prescribed therapeutic pneumatic compression treatment by applying external pressure to a body limb using a pneumatic compression sleeve having a pneumatically fillable cell; measuring pneumatic pressure within the pneumatically fillable cell; generating a pressure signal corresponding to the measured pneumatic pressure; determining biological events associated with the user based upon the pressure signal; generating a positive detection signal for each determined biological event associated with the user; and determining a user's compliance with a prescribed therapeutic pneumatic compression treatment when a predetermined number of positive detection signals have been generated within a predetermined time interval.

A method and device for outputting a torque of a walking assistance device is provided. The method and device may determine a degree of progress in a gait cycle based on data received through wireless communication, calculate a torque corresponding to the determined degree of progress, and output the torque to a driver of the walking assistance device. However, when the data received through wireless communication is not updated data, the method and device may determine reference data based on a reference pattern, and update the data using the determined reference data.