A load measurement device includes an acquisition unit, a load calculation unit, and an output unit. The acquisition unit acquires sensor output information of a load distribution sensor that detects a load distribution received from a sole of a subject. The load calculation unit calculates a total load value, based on the sensor output information and geometric information of a load region specified based on the sensor output information, the geometric information including at least a perimeter of the load region in a horizontal direction. The output unit outputs the total load value.

This application relates to an actuation system for assistive wearable devices such as exoskeletons designed to actuate a joint of a wearer of the device. The actuation system includes a differential pulley drum having a first drum portion and a second drum portion, the first drum portion and the second drum portion having different radii. The differential pulley drum is located at a first end of the actuator. The actuation system further includes a motor coupled to the differential pulley drum and configured to rotate the differential pulley drum, a second pulley located at a second end of the actuator, a flexible sleeve that extends between the differential pulley drum and the second pulley, and a strand that extends from the differential pulley drum to the second pulley through the flexible sleeve.

A walking training system includes: a tension unit that pulls a leg of a trainee upward and forward; a sensor provided for determining a start timing of a swinging end phase of the leg; and a control unit that reduces a tensile force of the tension unit from the start timing of the swinging end phase.

An embodiment includes an exoskeleton robotic system including: a first linkage; a bearing coupled to the first linkage; a joint including a motor configured to move the first linkage along the bearing; an axial load sensor configured to sense an axial force transmitted to the axial load sensor via the joint, the axial force including one of tension or compression but not torque; a bracket including first and second bracket locations and first and second arms; and a housing that includes at least part of the joint and which couples the bracket to the bearing. The bracket couples to the housing at the first bracket location and couples to the axial load sensor at the second bracket location. The first arm couples the second arm to the first bracket location, and the second arm couples the first arm to the second bracket location.

A spinal therapy apparatus includes one or more manipulating assemblies. In some examples a first manipulating member is arranged to engage a spine at a first vertebral area between a spinous process and a transverse process on a first side of a spine and a second manipulating member is arranged to engage the spine at a second vertebral area between a spinous process and a transverse process on the first side of the spine. The first and second manipulating members are coupled together at their proximal ends to permit the first and second manipulating members to be driven simultaneously and the coupling permits motion of the first and second manipulating members relative to one another in an axial direction. In other examples a drive system is adapted to drive first and second manipulating members simultaneously and independently. The disclosure also relates to a spinal therapy bed including such manipulating assemblies and methods of using and training spinal therapy devices.

A system to manage the sleep and/or the well-being of a passenger/user of an aircraft includes a chair to be installed in a cabin of the aircraft and interaction devices to interact with the user. The system further includes a user terminal configured to receive data relating to characteristics of a user profile of the user, and a control/command module connected to the user terminal, interaction devices and a database storing information relating to characteristics of a flight of the aircraft. The command/control module being configured to pilot the interaction devices according to the data relating to characteristics of the user profile and characteristics of the flight of the aircraft.

A method for optimizing at least one exercise. An exercise apparatus is configured to enable a user to perform the at least one exercise. The method includes receiving user data. The method includes generating, based on the user data, initial target data. The method includes receiving measurement data associated with one or more sensors. The method includes determining, differential data. The determining is based on one or more differences between the initial target data and the measurement data. The method includes receiving cohort data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate message data based on a difference between the differential data and the cohort data. The method includes transmitting, to an interface associated with a user, a message to the user based on the message data.

A method includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving alignment data associated with the user while the user engages in at least one activity and receiving at least one alignment characteristic associated with the user and determining, using at least the at least one alignment characteristic, whether the at least one alignment characteristic correlates with at least one secondary condition of the user. The method also includes generating secondary condition information indicating at least the secondary condition and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input. The treatment plan input includes at least one modification to the at least one aspect of the treatment plan and wherein, further, the treatment plan input is generated based on the secondary condition information.

A manually-operated quantification soft tissue mobilization (QSTM) device includes a pressure applicator and a sensor member. The pressure applicator is configured to enable a user to dynamically apply a stroking mechanical force as the pressure applicator is moved over an area treatment areas of a patient's soft tissue. The sensor member including an accelerometer and a gyrometer is configured to determine various parameters of the dynamically applied stroking mechanical force in three dimensions as the pressure applicator is moved over the treatment areas of the patient's soft tissue. These parameters include a force magnitude in three dimensions, an angle in multiple axes, a stroke position, a stroke frequency, a sensed vibration magnitude at dominant spectral frequencies, and/or a rate of the stroking mechanical force dynamically applied to the soft tissue.

Rehabilitating an impaired body part of a subject such as a stroke patient includes systems, devices, and methods using an orthosis system configured to attach to the impaired body part and to move or assist in movement of the impaired body part. A control system is configured to operate the orthosis system in a mode in which the orthosis system first allows the subject to move volitionally or attempt to move volitionally the impaired body part in a predefined motion and then operates to move or assist in the predefined motion of the impaired body part. Additional modes of operation include a brain computer interface mode of operation and a mode in which the orthosis system operates in a continuous passive mode of operation comprising a plurality of repetitions of an exercise to move the impaired body part.