Provided is a method for assessing a correlation degree and an influence degree between a health degree in a health domain of concern and each preventive interventional action, based on biological information acquired in a time-series manner. The method comprises: acquiring biological information of an individual in a time-series manner; performing, based on the acquired biological information, an assessment of a health degree of the individual in a time-series manner; acquiring an intervention amount of each of one or more preventive interventional actions in a time-series manner; deriving a correlation degree and an influence degree between the time-series intervention amount of each of the one or more preventive interventional actions and the time-series health degree of the individual; and determining, as a relevant preventive interventional action, a preventive interventional action whose correlation degree is a given value or more, among the one or more preventive interventional actions.

The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.

The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.

An orthopedic support and/or treatment system including a brace, sleeve, and/or insert, comprising a power subsystem; a sensor subsystem; an adjustment mechanism; a software subsystem; a communication subsystem; and a telemedicine subsystem. The orthopedic treatment system includes and communicates over a network to a remote controlling device. The remote control device can be a computer, a mobile device, or any other controller. The sensor subsystem communicates to the remote control device, which in turn can be used to control the adjustment mechanism to adjust a tension or compression of the brace or sleeve.

Provided are tissue-mounted devices and methods for monitoring a thermal transport property (e.g., thermal conductivity, thermal diffusivity, heat capacity) of tissue, such as skin. The devices conformally mount to the tissue and have one or more thermal actuators and a plurality of sensors. The actuator applies heat to the tissue and the sensors to detect a spatio temporal distribution of a physiological tissue parameter or physical property resulting from the heating. This spatio temporal information may be correlated with a rate, velocity and/or direction of blood flow, the presence of a vascular occlusion, circulation changes due to inflammation, hydration level and other physiological parameters.

Provided are tissue-mounted devices and methods for monitoring a thermal transport property (e.g., thermal conductivity, thermal diffusivity, heat capacity) of tissue, such as skin. The devices conformally mount to the tissue and have one or more thermal actuators and a plurality of sensors. The actuator applies heat to the tissue and the sensors to detect a spatio temporal distribution of a physiological tissue parameter or physical property resulting from the heating. This spatio temporal information may be correlated with a rate, velocity and/or direction of blood flow, the presence of a vascular occlusion, circulation changes due to inflammation, hydration level and other physiological parameters.

Methods and apparatus for calibrating performance of one or more statistical models used to generate a musculoskeletal representation. The method comprises controlling presentation of instructions via a user interface to instruct the user to perform the at least one gesture and updating at least one parameter of the one or more statistical models based, at least in part on a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of the at least one gesture by the user.

Systems, methods, and devices are provided herein providing electrical muscle stimulation (EMS). In some instances, an EMS device may be provided. The EMS device may be compact, light, and unobtrusive such that it can be used by a person going about his or her daily activities. In some instances, the EMS device may comprise additional sensors for increased functionality and may be capable of interacting with additional devices or platforms to provide a full-fledged EMS device capability.

Systems, methods, and devices are provided herein providing electrical muscle stimulation (EMS). In some instances, an EMS device may be provided. The EMS device may be compact, light, and unobtrusive such that it can be used by a person going about his or her daily activities. In some instances, the EMS device may comprise additional sensors for increased functionality and may be capable of interacting with additional devices or platforms to provide a full-fledged EMS device capability.

A method includes applying a stimulation profile having a plurality of stimulation signals to at least one muscle of a recipient and/or to at least one neuron configured to control the at least one muscle. The method further includes monitoring muscle fatigue of the at least one muscle during said applying the stimulation profile. The method further includes automatically modifying the stimulation profile in response to said muscle fatigue.