A method is described herein comprising providing an electronic interface for collecting health care data, wherein the electronic interface integrates with one or more data collection applications of a provider. The method includes receiving malnutrition data of at least one patient through the electronic interface, wherein the electronic interface comprises at least one question relating to malnutrition of the at least one patient. The method includes assessing a malnutrition score for the at least one patient through assessment of the malnutrition data. The method includes adding a malnutrition problem to one or more electronic medical records of the at least one patient when the malnutrition score exceeds a threshold, the adding the problem including updating data intake workflow of the one or more data collection applications to present a malnutrition progress note of the at least one patient to at least one authorized party.

An intelligent fitness set and anti-cheating method thereof is disclosed. The intelligent fitness set includes a support, a base, a plurality of handheld fitness equipments and two handles, wherein a processor, a movement posture sensor and a touch sensor are provided in each handle, and the movement posture sensor and the touch sensor are connected respectively with the processor. One end of each handle is closed, while a bayonet is provided in the other end of the handle and the switchable hot-pluggable bayonet is configured to connect respectively to the plurality of handheld fitness equipments. In the present disclosure, one set of action training of a plurality of handheld fitness equipments is performed through the same set of handles, so that a user can complete movement of one time only by strictly complying with active standards during movement.

Provided herein are clinical evaluation and treatment as well as training protocols in virtual or augmented reality that create fully immersive environments, which enable real-time rendering for communication, specifically telecommunication, between two or more parties. In various embodiments, a virtual environment is provided to a first user at a first location. A first set of data comprising positional data of the first user is provided to a second user (e.g., an instructor) at a second location. An activity (e.g., a treatment or assessment protocol) may be received from the second user (e.g., an instructor) and the activity may be displayed to the first user via layering the activity over the virtual environment. An adjustment may be applied to the activity by the second user based on compliance of the first user with the activity protocols. Additional users at other locations may also receive the first activity from the second user.

A medical status analysis system, comprising a positionable sleeve a distributed array of pressure sensors arranged to detect a pressure applied to the sleeve; an inertial sensor arranged to detect an inertial measurement of an object; and a processor operable to detect an event of interest, by: receiving inertial input data; and determining that the event of interest has occurred and operable to detect a grip of a user on the sleeve; and analyse the grip of the user on the sleeve, by: receiving input data; determining a grip attribute based on the input data; and determining a medical status of the user based on the grip attribute. Finally, the processor is operable to output the medical status corresponding to the user. The medical status analysis system therefore preferably provides a user of the system with meaningful and interpretable data regarding their medical status.

The present invention relates to a device for measuring grip strength including a basis; a cover coupled to the basis to form an enclosed pressure space separated from the outside; a cap disposed between the basis and the cover and configured to form a sensing space separated from the pressure space; magnets mounted on the cap or the basis to form a magnetic field; and a magnetic sensor for detecting change in the magnetic field. With this configuration, when measuring the grip strength of the user's hand, accuracy or sensitivity may be increased.

The present disclosure provides a grip sensor for quantifying pain experienced by a patient during spinal cord stimulation (SCS). The grip sensor includes an electronics enclosure, an annular outer shell substantially surrounding the electronics enclosure and sized to be held by the patient, a pressure sensor embedded in the outer shell and communicatively coupled to the electronics enclosure, the pressure sensor configured to measure a grip strength of the patient as SCS is applied to the patient, and a plurality of galvanic skin response sensors communicatively coupled to the electronics enclosure and configured to measure an electrical impedance of the skin of the patient as SCS is applied to the patient.

An external medical device includes monitoring circuitry configured to monitor a cardiac condition of a patient using the external medical device; and a controller configured to: receive at least one of patient input and non-patient user input of a patient's ability; determine a patient interaction mode of the external medical device based on the at least one of the patient input and the non-patient user input; and adapt the patient interaction mode of the external medical device over time based on the at least one of the patient input and the non-patient user input.

An instrumented interface for quantifying at least one physiological parameter of the upper limbs of a person, capable of being secured to a gripping device, and including at least one gripping system which the person can hang from, the instrumented interface including at least one force sensor which measures a deformation of the interface when a person exerts a force on the interface via the one gripping device, and is capable of producing a value that translates a force value.

Disclosed is an apparatus and method to train an autonomous driving model. The apparatus includes a driver information collection processor configured to collect driver information while a vehicle is being driven. The apparatus also includes a sensor information collection processor configured to collect sensor information from a sensor installed in the vehicle while the vehicle is being driven, and a model training processor configured to train the autonomous driving model based on the driver information and the sensor information.

Systems and methods for optimizing body and object interactions are provided. Based on obtained contact pressure maps and coefficient of friction (COF) maps at a contact interface where at least a portion of a body is in physical contact with a surface of an object, friction force maps can be determined, which can be used to optimize body and object interactions.