Systems and methods and media for managing biomechanical achievements are provided. An exosuit or any other suitable sensor assembly worn by a user can be utilized by a system to monitor several movement factors that may characterize the user's movement and any changes in the user's movement with a high degree of specificity that may enable various system algorithms and/or models to predict or otherwise determine one or more biomechanical achievements of the user, such as recovery from a particular type of event (e.g., surgery or therapy procedure) and/or distance traveled (e.g., without using any global positioning system capabilities). In addition, an exosuit can provide useful feedback in response to such determinations.

Systems and methods and media for managing biomechanical achievements are provided. An exosuit or any other suitable sensor assembly worn by a user can be utilized by a system to monitor several movement factors that may characterize the user's movement and any changes in the user's movement with a high degree of specificity that may enable various system algorithms and/or models to predict or otherwise determine one or more biomechanical achievements of the user, such as recovery from a particular type of event (e.g., surgery or therapy procedure) and/or distance traveled (e.g., without using any global positioning system capabilities). In addition, an exosuit can provide useful feedback in response to such determinations.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

A foot harness for resistance exercises. The foot harness may comprise: a top strap, a bottom strap, a heel strap, and one or more attachment points. A first end of the top strap, first end of the bottom strap, and first end of the heel strap may be coupled to one another at a first juncture region. A second end of the top strap, second end of the bottom strap, and second end of the heel strap may be coupled to one another at a second juncture region. The top strap may be adapted to engage with an upper portion of a shoe. The bottom strap may be adapted to engage with a bottom portion of the shoe. The heel strap may be adapted to engage with a rear portion of the shoe. The attachment points may be disposed at the first juncture region and the second juncture region.

Described herein are methods for determining a target musculoskeletal activity cycle (MSKC) to cardiac cycle (CC) timing relationship. The method may include detecting a signal responsive to a cyclically-varying arterial blood flow at a location on a head of a user; providing a recurrent prompt at a frequency of the heart pump cycle using the signal, such that the signal correlates with a magnitude of blood flow adjacent to the location, and the recurrent prompt is provided to guide the user to time performance of a component of a rhythmic musculoskeletal activity with the recurrent prompt; and guiding the user to adjust a timing of the component of the rhythmic musculoskeletal activity to substantially maximize a magnitude of the signal. In some embodiments, the method further includes generating the recurrent prompt by amplifying the sound generated by the blood flow in or in proximity to an ear of the user.

A living body guidance device includes: a measurement unit 1 that measures biometric information of a user; a stimulus unit 2 that is installed in contact with the user's body and presents a tactile stimulus to the user; a database unit 3 that has a relationship between the tactile stimulus presented by the stimulus unit and the biometric information according to the tactile stimulus recorded; an input unit 4 that sets target biometric information which is target biometric information that is desired of the user to realize; and a control unit 7 that, when there is a difference between current biometric information which is current biometric information of the user estimated based on the measurement result by the measurement unit and the target biometric information, controls the tactile stimulus presented by the stimulus unit so that the difference is reduced, so as to guide the user so that the current biometric information approaches the target biometric information, based on the relationship recorded in the database unit, by.

A computer implemented method for calculation of respiratory training intensity in a dataset representing a subject breathing through separate inhalation and exhalation airways having predefined respiratory and expiratory resistances includes the steps of: calculating the respiratory muscle power vs. time of at least one breath of the subject, and/or calculating the respiratory muscle work of at least one breath of the subject.

A Kegel muscle exercising apparatus includes various exercise programs that adaptively change depending on a user's exercise performance. This apparatus includes an insertable device for inserting into the body of a user, computer program code that contains exercise programs that specify operation of a stimulation mechanism by a controller, a stimulation mechanism that directs a user to contract her Kegel muscles according to an exercise program, a sensor that measures Kegel muscle contraction activity, and a controller that receives feedback from the sensor. This feedback comprises the results of an exercise program, and depending on the results, the apparatus can determine a different exercise program appropriate for the user. Following the different exercise programs allows a user to improve her Kegel muscle strength.

A multi-axis adjustable exercise machine which is pivotable about both a pitch axis and a roll axis with respect to a base for allowing an exerciser to perform a wide range of exercises on a pitched or rolled exercise machine. The multi-axis adjustable exercise machine generally includes an exercise machine which is adjustable with respect to a base. The exercise machine may be pivoted about a roll axis to adjust the roll angle of the exercise machine or may be pivoted about a pitch axis to adjust the pitch angle of the exercise machine. One or more actuators may be connected between the base and the exercise machine to effectuate the pivoting of the exercise machine about either or both axes with respect to the base.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.