A body weight support system includes a trolley, a powered conductor operatively coupled to a power supply, and a patient attachment mechanism. The trolley can include a drive system, a control system, and a patient support system. The drive system is movably coupled to a support rail. At least a portion of the control system is physically and electrically coupled to the powered conductor. The patient support mechanism is at least temporarily coupled to the patient attachment mechanism. The control system can control at least a portion of the patient support mechanism based at least in part on a force applied to the patient attachment mechanism.

A gait assistance apparatus including at least one sensor configured to sense a step motion of a user, and an operator configured to determine assistance forces of a right step and a left step of the user based on step motion information of the user and adjust the assistance force for at least one of the right step or the left step of the user based on a result of proportionally adding together the assistance forces of the right step and the left step based on a variable ratio may be provided.

Presented are concepts for monitoring walker usage by a subject. One such concept obtains movement data comprising values of detected movement of an arm of the subject for a first time period during which the subject is determined to have transferred between first and second locations the first time period. It is determined if the subject used a walker during the first time period based on a measure of variance in the values of detected movement of the subject's arm during the first time period.

Systems and methods for determining a level of collaboration between a user and an exoskeleton boot are provided. A device, using an exoskeleton boot, can provide a level of force to a limb of a user to aide movement of the limb. The device can measure one or more parameters of the exoskeleton boot during the movement of the limb using the exoskeleton boot. The device can determine one or more biometrics of the user during the movement of the limb using the exoskeleton boot. The device can determine, based on the one or more biometrics and the one or more parameters of the device, a metric indicative of a collaboration between the user and the exoskeleton boot during the movement.

Exosuit systems and methods according to various embodiments are described herein. The exosuit system can be a suit that is worn by a wearer on the outside of his or her body. It may be worn under the wearer's normal clothing, over their clothing, between layers of clothing, or may be the wearer's primary clothing itself. The exosuit may be assistive, as it physically assists the wearer in performing particular activities, or can provide other functionality such as communication to the wearer through physical expressions to the body, engagement of the environment, or capturing of information from the wearer.

An exemplary embodiment of the present invention provides an exosuit support system, comprising first and second orthotic interfaces, first and second members, and first and second actuators. The first and second orthotic interfaces can be configured to attach to left and right legs of a user, respectively. The first member can comprise a first end connected to the first orthotic interface and a second end connected to a portion of the system configured to be positioned proximate a right shoulder of the user. The second member can comprise a first end connected to the second orthotic interface and a second end connected to a portion of the system configured to be positioned proximate a left shoulder of the user. The first actuator can be configured to apply a first tension to the first member. The second actuator can be configured to apply a second tension to the second member.

This patent relates to the field of peripheral sensorimotor stimulation for the relief of symptoms and physical signs of distress including pain and anxiety and more specifically to addiction withdrawal. Peripheral stimulation of mechanoreceptors has been showed in a unique amplitude and frequency range to induce central effects of release of dopamine with a prolonged duration beyond stimulation in a model of addiction. Such stimulation can serve as an effective bridge during withdrawal from known addicting substances, including chemicals and behaviors, thus mitigating symptoms and potentially facilitating the cessation of drugs or substance seeking behavior. Interferential beat frequencies can be induced into the body using separately located sources of vibration to localize maxima and minima of stimulation. A conforming seat consisting of two separately driven halves induces a traveling wave due to interference or formation of beat frequencies which are driven in the therapeutic range to mitigate the symptoms and signs of withdrawal. Further, the beat frequencies can be monitored by a transducer to assure compliance of a treatment regimen and as a trigger pattern for focused exercises.

The electric walking assisting vehicle includes: a vehicle body; left and right driving wheels; left and right motors which individually transmit power to the left and right driving wheels; universal wheels; gripping parts provided in an upper portion of the vehicle body and are gripped by a user in a standing and walking posture; a gripping sensor detecting that the gripping parts are gripped by the user; left and right rotation speed sensors individually detecting rotation speeds of the left and right driving wheels; and a control unit controlling the left and right motors. The control unit generates torque in the left and right motors in accordance with a torque map which defines relationship between the rotation speeds of the left and right driving wheels detected by the left and right rotation speed sensors and torque command values of the left and right motors in a state in which the gripping sensor is gripped.

An exemplary method of identifying a source of chest compressions administered during cardiopulmonary resuscitation (CPR) includes receiving, at a processor, signals indicative of pressure exerted during the chest compressions from at least one sensor communicatively coupled to the processor and disposed at a location on the victim's chest away from an indicated compression point for manual chest compressions, generating a compression waveform based on the received signals, detecting compression waveform features representative of the chest compressions based on the compression waveform, comparing the detected compression waveform features to a pre-determined criterion to discriminate between chest compressions from an automated compression device and manual chest compressions, determining whether the chest compressions are from the automated compression device or the manual chest compressions based on the comparison, and generating an output based on whether the chest compressions are determined to be from the automated compression device or the manual chest compressions.

The invention comprises an apparatus for arm exercise for therapy of a subject. The apparatus comprises a base comprising a planar upper surface. A first set of parallel rails are affixed to said upper surface of the base, the first set of parallel rails comprising a first rail and a second rail positioned parallel to each other and separated from each other by a predefined first distance. A second set of rails comprising at least a third rail having a first end and a second end are also provided, wherein said first end is slidably mounted on the first rail and said second end is slidably mounted on said second end. A sliding mount is slidably affixed to the second set of rails, and configured such that said sliding mount can be slidingly moved between the first end and the second end of the third rail.