A portable medical treatment apparatus and interactive application that leads a user through a medically acceptable query flow for treating medical emergencies, including cardiac or pulmonary medical emergencies that can be treated with electrotherapy and other medical emergencies.

Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR) are described herein. The system includes an applicator device configured to provide ACD CPR treatment to a patient's chest according to a plurality of phases at least one sensor configured to be coupled to the patient's chest and to measure at least one parameter related to the ACD CPR treatment and information for determining whether at least one transition point of the ACD CPR treatment has been reached; and one or more processors configured to provide a feedback signal based on a parameter for administering ACD CPR treatment to the patient's chest according to a desired treatment protocol.

The invention relates to a robotic walker (1) including a chassis (10) having a front portion (10a), a rear portion (10b), wheels (11a, 11b, 12) arranged to support the rear portion (10b) and the front portion (10a) of the chassis (10), one of the wheels (11a, 11b, 12) being coupled to a displacement motor (20), the robotic walker (1) including a control module (40) configured to control the displacement motor (20), and to: Determine an indicator of an involuntary movement of a user of the robotic walker (1) that could lead to a fall, based on values generated by one or several sensor(s); Identify a previous position, at the given moment, of at least two wheels (11a, 11b, 12); Transmit a command to stop the robotic walker (1); Transmit a command to move the robotic walker (1) so that it returns to the previous position.

A walking aid vehicle (1) includes: an operation part (3) provided on an upper portion of a vehicle body for grasping by a user in a walking posture; a detector (30) for detecting an operation force applied to the operation part; and an inclination detector (20) for detecting inclination of the vehicle body. When an advance direction inclination detected by the detector is less than threshold, a normal control (100) generates a normal direction torque in the drive motor (40L, 40R) responsive to pushing the operation part (3) forward and generates a reverse direction torque in the drive motor responsive to pulling the operation part rearward, and when the advance direction inclination is equal to or greater than threshold and pushing operation force is detected, a shift to a pull control (110) is made which generates normal direction torque in the drive motor responsive to a pulling operation force.

A rehabilitation glove based on a bidirectional driver of a honeycomb imitating structure, including five bidirectional drivers and a cotton glove. The drivers are fixed to a back of the glove through hook and loop fasteners. Each driver includes a hollow buckling air bag in a continuous bent state, a middle guide layer in a continuous bent state and a hollow stretching air bag. The buckling air bag and the middle guide layer are symmetrically arranged, and the stretching air bag in a straightened state is arranged below the middle guide layer. A novel bidirectional driver of a honeycomb imitating structure is provided, which may provide a patient with rehabilitation training in two degrees of freedom: buckling and stretching. A control algorithm of the bidirectional driver is further provided to perform force control output for the driver, which may better help the patient recover hand functions.

An exoskeleton device that includes an artificial joint and a frame member extending from the artificial joint. The frame member is configured for extension over a limb of a user. The exoskeleton device also includes a self-aligning mechanism connected to the frame member. The self-aligning mechanism includes three passive degrees of freedom (pDOF) provided in a prismatic-revolute-revolute (PRR) configuration. The self-aligning mechanism also includes a limb attachment member configured for mechanically coupling to a portion of the limb of the user.

A computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.

A wearable upper limb rehabilitation training robot with precise force control includes a wearable belt, a multi-degree-of-freedom robot arm, and a control box. The robot is worn on the waist of a person by using a belt, and driven by active actuators, to implement active and passive rehabilitation training in such degrees of freedom as adduction/abduction/anteflexion/extension of left and right shoulder joints and anteflexion/extension of left and right elbow joints. In addition, a force/torque sensor is mounted on a tip of the robot arm, to obtain a force between the tip of the robot arm and the human hand during rehabilitation training as a feedback signal, to adjust an operating state of the robot, thereby realizing the precise force control during the rehabilitation training.

A system for moving or assisting in movement of a body part of a subject, as well as a rehabilitation system including such a movement assistance system, includes a body part interface configured to be secured to the body part, and a motor-actuated assembly connected to the body part interface to move the body part interface to cause flexion or extension movement of the body part. A force sensing module is configured to measure forces applied between the body part interface and the motor-actuated assembly to ascertain at least one of volitional flexion and volitional extension movement of the body part by the subject, among other functions that may be implemented in movement assistance and rehabilitation systems using the disclosed force sensing module designs.

A grasp assist system includes a glove having a glove palm and fingers, with the glove worn on a user's hand. A sensor measures flexion of the glove fingers, and thus a change of position and/or attitude of the fingers is determined. Finger saddles at least partially surround a phalange of a respective one of the user's fingers. The system uses one or more tendon actuators to pull on flexible tendons. Each tendon connects to a respective finger saddle. A controller is in communication with the actuators and sensor(s). The glove may use feedback from optional contact sensors to adjust tension, and may have a built-in restorative force. In executing a control method, the controller selectively applies tension to the tendons in response to finger flexion, via the tendon actuators, at a level sufficient for moving the user's fingers when the user executes a hand maneuver.