Systems and methods for monitoring acute:chronic workload ratio (ACWR) are described. An indicator of workload is received from a device worn or carried by a user. An acute workload is determined for the user based on the received indicator of workload over a first period of time. A chronic workload is determined for the user based on the received indicator of workload over a second period of time, where the first period of time is shorter than the second period of time. A current ACWR is determined for the user based on the acute workload and the chronic workload.

An aspect of the disclosure pertains to a blood pressure measurement device and methods of controlling an inflation rate in a blood pressure measurement. An inflatable bladder of the blood pressure measurement device defines, at least in part, a pressurizable volume. The inflatable bladder may be inflated to pressurize a user's appendage and temporarily occlude blood flow in the user's appendage. A pressure sensor of the blood pressure measurement device is configured to obtain blood pressure measurements, and a pump of the blood pressure measurement device is configured to inflate the inflatable bladder and control an inflation rate by controlling at least one of a duty cycle, a voltage, or a drive frequency.

An apparatus for detecting sleep disorders, such as obstructive sleep apnea, includes a housing insertable into an ear canal of a subject. A sensor disposed within the housing measures a position of the subject's head relative to an axis of gravity. A transducer is responsive to the sensor and is capable of creating a stimulus detectable by the subject under certain conditions. In various embodiments, a controller receives signals corresponding to a pitch angle and a roll angle of the subject's head measured by the sensor, determines if the pitch and roll angles correspond to a sleep apnea inducing position, and causes the transducer to generate a stimulus upon determining that the subject's head is in the sleep apnea inducing position more than a predetermined threshold number of times. Various parameters of the stimulus may be modified with successive stimulus generation until a non-sleep apnea inducing position is detected.

Technology facilitates dynamic variability of head impact data recordal, for example, in the context of instrumented mouthguard devices. Some embodiments have been developed to facilitate an event recoding protocol that dynamically adjusts event recoding parameters thereby to provide appropriate data for both “short” and “prolonged” impact events. For example, various embodiments include methods for recording impact events in respect of an instrumented mouthguard device, such methods including dynamically adjusting a period of time for which event data is recorded for a given event responsive to length of time for which an over-threshold condition persists.

The disclosure provides a dynamic interaction-oriented subject's limb time-varying stiffness identification method and device. The method includes: the combination of subject's limb displacement and measured force data or the combination of angle and measured torque data is collected; based on the time-varying dynamic system constructed based on a second-order impedance model, the linear parameter varying method is utilized to substitute the time-varying impedance parameters and reconstruct the restoring force/torque expression; iterative identification is performed on variable weights, dynamic interaction force/torque, and restoring force/torque by using time-varying dynamic parameters based on the dynamic interaction force/torque expression expanded from basis function; the time-varying stiffness is solved by using variable weights and dynamic interaction force/torque according to expression with substituted the time-varying impedance parameters. The disclosure not only improves the accuracy of the time-varying stiffness identification technology but also expands the application scenarios of the time-varying stiffness identification technology.

The present invention teaches an articular fracture rehabilitation process measuring device. The measuring device comprises a base plate, a positioning tube, and an electronic angle gauge; the positioning tube and the electronic angle gauge are fixed separately on the base plate. The electronic angle gauge comprises a distance sensor, a rotation angle sensor, a data processor, and a digital display; the data processor is connected to the distance sensor and the rotation angle sensor; the digital display is connected with the data processor.

A method and apparatus for monitoring the respiration of a patient supported on a patient support apparatus through receiving signals from load cells supporting a patient on the patient support apparatus, processing the signals to characterize movement of the patient's center of mass, using the movement of the patient's center of mass, determine respiratory characteristic of the patient, and communicating the respiratory characteristic of the patient to a caregiver.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

A processing device receives, from a three-dimensional (3D) motion capture system, initial data representing an initial orientation of a subject user's body in an initial position. The processing device further receives x-ray data representing at least the portion of the subject user's body in the initial position. The processing device determines an actual orientation of at least one bone or joint from the portion of the subject user's body in the initial position as represented in the x-ray data and calibrates the initial orientation of the 3D motion capture system to reflect the actual orientation of the at least one bone or joint in the initial position.

Conventionally, a neuronal controller located inside the central nervous system governing the maintenance of the upright posture of the human body is designed from a control system perspective using proportional-integral-derivative (PID) controllers, wherein human postural sway is modeled either along a sagittal plan or along a frontal plane separately resulting in limited insights on intricacies of a governing neuronal controller. Also, existing neuronal controllers using a reinforcement learning (RL) paradigm are based on complex actor-critic on-policy algorithms. Analyzing human postural sway is critical to detect markers for progression of balance impairments. The present disclosure facilitates modelling the neuronal controller using a simplified RL algorithm, capable of producing postural sway characteristics in both sagittal and frontal plane together. The Q-learning technique of the RL paradigm is employed for learning an optimal state-action value (Q-value) function for a tuneable Markov Decision Process (MDP) model.