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.

One or more apparatuses are provided. In an example, an exercise machine is provided. The exercise machine may include one or more driving elements connected to one or more motors controlled by a computer. The one or more motors may be configured to provide an electromechanical resistance via the one or more driving elements. The electromechanical resistance may be controlled by smart algorithms running on the computer such that variable resistance is provided at different parts of movement. The algorithms may use readings from one or more sensors. The exercise machine may include a controller configured to control the motor based upon one or more inputs. The exercise machine may include an exercise bar. The exercise machine may include a screen. The exercise machine may include safety actuators. The exercise machine may be fixed on its place or may be portable. The exercise machine may include electromechanical safety stand(s).

A wearable device and system has been developed to provide feedback to help users be able to engage specific muscle groups on cue, effectively exercise said muscle groups, and learn to engage said muscle groups before and through movements. Algorithms for identifying relaxed-to-engaged and engaged-to-relaxed transitions may be important for providing a positive user experience. The wearable device and system may be used for training effective use of the core and other muscles. A myokinesiometer is described to display target muscle engagement and body movement data simultaneously. The myokinesiometer facilitates specifying tests for protected and unprotected movement analyses.

An approximation method and system are provided for more quickly controlling a prosthetic or other device by reducing computational processing time in a muscle model that can be used to control the prosthetic. For a given muscle, the approximation method can quickly compute polynomial structures for a muscle length and for each associated moment arms, which may be used to generate a torque for a joint position of a physics model. The physics model, in turn, produces a next joint position and velocity data for driving a prosthetic. The approximation method expands the polynomial structures as long as expansion is possible and sufficiently beneficial. The computations canbe performed quickly by expanding the polynomial structures in a way that constrains the muscle length polynomial to the moment arm polynomial structures, and vice versa.

A system and method for controlling a device, such as a virtual reality (VR) and/or a prosthetic limb are provided. A biomimetic controller of the system comprises a signal processor and a musculoskeletal model. The signal processor processes M biological signals received from a residual limb to transform the M biological signals into N activation signals, where M and N are integers and M is less than N. The musculoskeletal model transforms the N activation signals into intended motion signals. A prosthesis controller transforms the intended motion signals into three or more control signals that are outputted from an output port of the prosthesis controller. A controlled device receives the control signals and performs one or more tasks in accordance with the control signals.

Systems and methods are disclosed for assisting body motion by attaching a plurality of rods to a body; sensing movement parameters with sensors coupled to the rods; transmitting the movement parameters to a wearable device and receiving actuation commands from the wearable device; and based on the received commands, actuating the rods with one or more actuators.

Systems and methods for a muscle signal-driven cycling system for persons with disability for rehabilitation are provided. A system comprises integrating both motor power and muscle power to facilitate rehabilitation cycling-based exercises. By using the intensity of real-time muscle activity signals as inputs, a motor applies either assistive or resistive force to rotate a gear at different speeds to facilitate or impede the cycling motion, and the electrical pulses from an electrical stimulation device can be provided to stimulate target muscles to generate muscle contraction to support the continuous cycling movement.

An ideal target weight training recommendation system and method ascertains a user's ideal target weight with a user-data algorithm that computes a strength coefficient based on weight repetitions. The user generates initial completed repetitions until the muscles fatigue. A baseline strength value is calculated with the initial completed repetitions and a baseline strength coefficient. A resistance value of the free weights divided by the baseline strength coefficient, produces the baseline strength value. The baseline strength value is used in calculating ideal target weight values. A user-data defined y-intercept approximate functions. Each y-intercept approximate functions involving user-selected desired target repetition values. The user manipulates a resistance structure associated with the ideal target weight values. The ideal target weight values are rounded to the nearest whole number. The user-selected desired target repetition values generate second completed repetition values for subsequent sets. This causes the strength curve to automatically adapts to strength progression.

A training method, training system and non-transitory computer-readable medium are provided in this disclosure. The training method includes the following operations: receiving a training script; wherein the training script includes at least one training stage corresponding to a timeline, and a training time and a training goal corresponding to the least one training stage; generating a voice information according to the training script, and outputting the voice information by an audio outputting unit; receiving a physiological signal sensed by a physiological signal sensor in the at least one training stage, and analyzing the physiological signal utilized an analyzing module to obtain an analysis result; and determining whether the analysis result meets the training goal corresponding to the at least one training stage; if not, outputting a voice reminding by the audio outputting unit.

The invention relates to a method with biofeedback for training muscles of the pelvic floor, applicable to the treatment of urinary incontinence, fecal incontinence and prolapse of pelvic organs, using a portable electronic device for capturing, by means of sensors, EMG signals relating to abdominal activity and the area to be treated during muscle exercises, said device providing results visually and/or acoustically, the method comprising: placing a vaginal or rectal sensor (10) and two sensors (11) in the lower abdominal area, performing exercises working the muscles of the pelvic floor, providing evaluation of the exercises performed and storing results. The user places the sensors herself, the device evaluating the correct placement of the sensors indicating to the user that the suitable position has been reached through said acoustic and/or visual means, and performing a step prior to the exercises for acquiring muscle tone.