A patient can undergo physical therapy to rehabilitate a musculoskeletal condition. The success of the rehabilitation relies in part on whether the patient uses an exercise band with the correct resistance for their condition. In order to select the correct resistance, a controller can instruct the patient to perform a directed movement with an exercise band, receive exercise data from at least one sensor (e.g., a camera, like a front-facing camera, that records the patient, a plurality of sensors on or near the patient's skin, etc.) as the subject performs the directed movement, and calculate a pull force exerted by the patient on the exercise band based on at least a portion of the exercise data. The adequacy of an exercise with the exercise band for the patient is determined based on the pull force can be determined based on the calculated pull force.

A punch-and-cycle exercise device is described. The device includes a cycling mechanism, a frame to which a punch-pad is attached, a plurality of delineated target zones arranged on the punch pad, a sensor unit that may include an impact sensor, an accelerometer, and a single or plurality of hall effect sensors, each communicatively connected to the target zones. A control unit communicatively connects with the sensors, a punch-pad mounted camera, and a display. Gloves with built in magnets and/or unique markings/visual identifiers interact with the sensors and/or camera and provide data to the controller to track user success at responding with correct puncing form to illuminated and sequenced punching programs while cycling. Output can be displayed locally or on any paired device.

A memory system configured to dynamically adjust the amount of redundant information stored in memory cells of a wordline on an integrated circuit die based on a bit error rate. For example, in response to a determination that a bit error rate of the wordline is above a threshold, the memory system can store first data items as independent first codewords of an error correction code technique into a first portion of the memory cells of the wordline, generate second data items as redundant information from the first codewords, and store the second data items in a second portion of the memory cells of the wordline. If the bit error rate is below the threshold, third data items can be stored as independent second codewords of the same length as the first codewords in the memory cells of the wordline.

A portable apparatus includes an exercise-measurement circuitry that measures exercise-related measurement data related to a user carrying out an exercise, a communication circuitry configured to provide the portable apparatus with wireless communication capability, and a processing circuitry configured to a perform operations. The operations include receiving the exercise-related measurement data from the exercise-measurement circuitry, receiving configuration data from an external user interface apparatus over a bidirectional wireless communication connection established through the communication circuitry and capable of transferring payload data to both directions, processing the exercise-related measurement data according to the received exercise-related parameters in order to obtain advanced exercise-related data, and communicating the advanced exercise-related measurement data to the user interface apparatus over the bidirectional wireless communication connection.

A system and method for targeted neurological treatment using brainwave entrainment therapy with passive treatment that allows for targeted treatment of particular areas of the brain, particular neurological functions, particular neurological states, and combinations of areas, functions, and states. The system and method receive gait parameters for an individual and compare those against a database of historical gait data to determine if an onset neurodegenerative condition is present, and applies a brainwave entrainment therapy responsive to the determination of the condition. The system and method receive a neurological assessment identifying areas of the brain or neurological functions to be treated, select one or more treatment modalities and frequencies, select a treatment regimen, and apply brainwave entrainment using a treatment regimen while the subject engages in dual-task activities selected to stimulate the areas of the brain, neurological functions, or neurological states to be treated, enhanced, or altered.

A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.

A solution for estimating effectiveness of periodic motion during a physical exercise. such as a running exercise, is disclosed. According to an aspect, a computer-implemented method for estimating the effectiveness of the periodic motion includes: measuring, by using at least one motion sensor, periodic motion of a user, and thus acquiring motion measurement data during a time interval of a physical exercise; transforming the motion measurement data into frequency-domain samples; extracting, amongst the frequency-domain samples by using peak detection, a first subset of frequency-domain samples representing periodic motion; computing a metric indicating a ratio between energy on the first subset of frequency domain samples and energy on other frequency domain samples; and mapping the computed ratio to an effectiveness parameter by using a determined mapping rule and outputting the effectiveness parameter via an interface.

According to one exemplary embodiment, an apparatus, system, method and/or computer program product may provide an athletic training performance analysis apparatus including at least one athletic training performance analysis device including at least one electronic sensor coupled to the at least one athletic training performance analysis device; at least one user interface coupled to the at least one athletic training performance analysis device configured to interact with a user to receive a user selection of at least one training performance analysis routine, the at least one user interface may include: at least one electronic computer processor coupled to the at least one electronic sensor; at least one input device coupled to the at least one electronic computer processor to receive the user selection; at least one output device coupled to the at least one electronic computer processor to provide output to the user; at least one electronic memory coupled to the at least one electronic computer processor; and at least one of: wherein the at least one electronic computer processor is configured to save or retrieve the at least one training performance analysis routine from the at least one memory; where the at least one electronic computer processor is configured to electronically monitor and electronically analyze the at least one training performance analysis routine based on the at least one electronic sensor; wherein the at least one electronic computer processor is configured to randomize at least one challenge by the at least one athletic training performance analysis device; or wherein the electronic computer processor is configured to at least one of: combine a plurality of previously saved of the at least one training performance analysis routine, or shuffle a plurality of previously saved of the at least one training performance analysis routine.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Systems and methods for prescribing athletic activity to be performed by a user, and for adapting the prescribed athletic activity based on completed (e.g. ongoing) athletic performances by the user. A coaching plan may be automatically created that prescribes personalized athletic activities as a user trains towards a goal date. The athletic information may be received from one or more sensor devices associated with a user, and the coaching plan may be continuously or intermittently updated based on the received sensor data.