Systems and methods for detecting athletic performance and fatigue are disclosed herein. In one embodiment, a method for monitoring athletic performance of an athlete includes: monitoring a heart rate (HR) of the athlete by a wearable electrocardiogram (ECG) sensor carried by the athlete; determining a rate of change of the HR over a period of time; comparing the rate of change to a predetermined threshold; and based on the comparing, determining whether the athlete is fatigued.

Systems and methods for lean muscle mass monitoring of patients and for identifying and treating at least one of Cachexia or Sarcopenia are disclosed. The system may include a dynamometer provided to patients, the dynamometer being configured to perform remote monitoring. The dynamometer may be used and data may be collected by patients without the supervision of a healthcare professional. Using the collected data, lean muscle mass may be tracked over time, to provide fast and accurate assessment of conditions. Using such an assessment, early treatment options can be targeted to patients to avoid progression into various disease states, for examples, more severe states of at least one of Cachexia or Sarcopenia.

This bioelectrode is configured by applying a water-absorbing resin to a sheet-like structure including conductive fibers so as to have a moisture retention index of 0.8 or more. This bioelectrode-equipped apparatus comprises a fabric structure having, on a base fabric formed from an elastic fabric, an electrode placement region that includes a wiring formed on a surface of the base fabric, a bioelectrode provided to the terminal end of the wiring, and an insulating layer for covering the wiring, wherein the base fabric has a first extension direction exhibiting relatively low extensibility in the electrode placement region and a second extension direction which is different from the first extension direction and which exhibits higher extensibility than the first extension direction, and the wiring is formed along the first extension direction.

Measuring muscle load in athletic activities, and associated systems and methods are described herein. In an embodiment, a method for monitoring muscle load of an athlete includes: determining a muscle effort (ME) of the athlete by a wearable electromyography (EMG) sensor, and determining at least one inertial measurement unit (IMU) output of the athlete. The method further includes comparing the ME and the IMU output of the athlete, and, based on comparing, determining a performance of the athlete.

In a physical strength evaluation system, a reference storage stores a walking heart rate reference in which a correspondence relationship of a standard value of a relative heart rate with respect to a walking speed is defined for every gender and every age, a speed acquisition unit acquires a measured value of a walking speed of a subject, a heart rate acquisition unit acquires a measured value of the relative heart rate of the subject. A standard value derivation unit derives the standard value of the relative heart rate corresponding to the measured value of the walking speed that has been acquired, based on the walking heart rate reference. A level determination unit determines an evaluation value of a physical strength level of the subject, based on a difference between the measured value of the relative heart rate and the standard value of the relative heart rate.

A method and system of predicting a muscle characteristic using ultrasound. The characteristic may include a tenderness characteristic and/or a strength characteristic. An analysis of muscle structure is performed for a sample using ultrasound data of the sample. The analysis may include determining a relative number of bundles, fascicles, sarcomeres, fibers, and/or sheath thickness from the ultrasound data. Thereafter, the muscle characteristic is predicted for the sample based on the analysis.

An apparatus and method to evaluate the endurance of a muscle group of a user by measuring velocities of an engagement assembly coupled to a resistance element and moved by the user through a plurality of exercise strokes. A muscle group is assessed by determining a rate of fatigue for the muscle group. The method can include adjusting the controllable resistance to a resistance level, monitoring the movement of the engagement assembly against the resistance level over a plurality of repetitions, determining a relationship between the movement of the engagement assembly by the user over the plurality of repetitions, and using the relationship to determine the rate of fatigue.

A method and system for guiding joint replacement procedures based on functional stability analysis of a joint. The method comprises communicatively connecting to a plurality of sensors worn by an individual at muscles in a joint area and performing an initial measurement that evaluates strength and activity level of the muscles. The initial measurement includes a recording of data values from the plurality of sensors during a preoperative testing procedure. The initial measurement is compared with reference data, wherein the reference data includes measurements of healthy people with normal muscle function. The method further comprises generating joint replacement recommendations based on the comparison.

The present disclosure relates to a respiratory system for exercising and analysing respiration of a subject comprising: a breathing unit comprising: a mouthpiece connected to: at least one inhalation air way, at least one exhalation air way, and an electronic sensor unit comprising at least one pressure gauge for measuring air pressure in the mouthpiece, and a processing unit for collecting/storing and/or transmitting air pressure data.

A system for monitoring muscle load, is configured to perform operations including: obtaining, from at least one sensor, measurement data on an exerciser; determining, based on the measurement data, a number of repetitions of a macroscopic movement performed during a physical exercise; determining, based on a conversion entry corresponding to a type of the physical exercise, muscle load coefficient of one or more muscles loaded in the physical exercise; utilizing the muscle load coefficient of the one or more muscles and the number of repetitions in determining muscle load data indicating muscle specific muscle load caused by the physical exercise performed by the exerciser; and outputting the muscle load data.