Patent classifications
A61B5/113
System and method of monitoring condition of equines
A system for behavioral monitoring for equines, comprising at least one sensor to measure a signal related to the equine, a database to store at least one parameter of the equine as a function of time, and processing means. The sensor is in communication with the equine, and comprises a wireless transmitter which is in communication with the database. The processing means, in communication with the database, is adapted to (i) determine, from at least one signal from the at least one sensor, at least one parameter of the equine as a function of time; (ii) establish normal behavior of the equine based on the parameter; and (iii) identify at least one abnormal behavior of the equine by identifying at least one deviation from normal behavior.
Adaptive sleep system using data analytics and learning techniques to improve individual sleep conditions
A bed integrates sensors and other inputs to detect specific sleep environment conditions including point-specific pressure and/or temperature conditions. The bed includes a controller for commanding actuator or other devices to adjust these conditions. The controller may do so based on reference patterns for conditions and profiles of desired conditions. Information regarding the conditions may be provided to a remote computer, which may analyze the conditions and provide revised profiles of desired conditions.
METHOD AND APPARATUS FOR DETECTING RESPIRATORY EFFORT
Devices and systems provide methods for detecting respiratory related effort from movements associated with the head or face. In one embodiment, a strain signal is measured by one or more sensors. A processor may analyze the head strain signal to detect respiratory related effort. Detection of effort may serve as a basis for identifying sleep disordered breathing events. For example, the analysis may serve as part of a detector to identify central or obstructive apneas or central or obstructive hypopneas. Sensors may be integrated with headgear to support them at desired locations of the face or head. Strain from head movement may be detected by measuring, for example, tension of the headgear or force applied against the headgear. The headgear may serve as an independent support for the sensors or as a component of a respiratory treatment apparatus, such as a mask or cannula.
METHOD AND APPARATUS FOR DETECTING RESPIRATORY EFFORT
Devices and systems provide methods for detecting respiratory related effort from movements associated with the head or face. In one embodiment, a strain signal is measured by one or more sensors. A processor may analyze the head strain signal to detect respiratory related effort. Detection of effort may serve as a basis for identifying sleep disordered breathing events. For example, the analysis may serve as part of a detector to identify central or obstructive apneas or central or obstructive hypopneas. Sensors may be integrated with headgear to support them at desired locations of the face or head. Strain from head movement may be detected by measuring, for example, tension of the headgear or force applied against the headgear. The headgear may serve as an independent support for the sensors or as a component of a respiratory treatment apparatus, such as a mask or cannula.
OBTAINMENT OF CLEANED SEQUENCES RELATING TO A CENTER OF GRAVITY
Methods and systems are provided for obtaining cleaned sequences showing trajectories of movement of a center of gravity and for estimating a biometric information pattern or value of a target. One of the methods includes removing noises from initial sequences showing trajectories of movement of a center of gravity to obtain the cleaned sequences. Another one of the methods includes reading cleaned sequences of the target into a memory, extracting features from the cleaned sequences, and estimating a biometric information pattern or value of the target from the extracted features, using a classification or regression model of biometric information patterns or values. The biometric information pattern may be a pattern derived from respiratory or circulatory organs of a target.
IMPLANTABLE MEDICAL DEVICES, SYSTEMS, AND METHODS FOR SELECTION OF OPTIMAL DIAPHRAGMATIC STIMULATION PARAMETERS TO AFFECT PRESSURES WITHIN THE INTRATHORACIC CAVITY
A controller delivers electrical stimulation therapy to a diaphragm through the one or more electrodes, and obtains a signal indicative of a pressure within an intrathoracic cavity from a pressure measurement source. The electrical stimulation therapy is defined by stimulation parameters. The controller obtains at least one additional signal indicative of a pressure within an intrathoracic cavity by changing at least one of the stimulation parameters, and delivering an electrical stimulation therapy to the diaphragm in accordance with the changed one of the plurality of stimulation parameters. The controller repeats the process of obtaining additional signals indicative of pressure based on a changing stimulation parameter by scanning through a range of values for the changing stimulation parameter. The controller derives a measure of interest from each of the obtained signals, and selects as an optimal stimulation therapy, the electrical stimulation therapy that results in a most acceptable measure of interest.
IMPLANTABLE MEDICAL DEVICES, SYSTEMS, AND METHODS FOR SELECTION OF OPTIMAL DIAPHRAGMATIC STIMULATION PARAMETERS TO AFFECT PRESSURES WITHIN THE INTRATHORACIC CAVITY
A controller delivers electrical stimulation therapy to a diaphragm through the one or more electrodes, and obtains a signal indicative of a pressure within an intrathoracic cavity from a pressure measurement source. The electrical stimulation therapy is defined by stimulation parameters. The controller obtains at least one additional signal indicative of a pressure within an intrathoracic cavity by changing at least one of the stimulation parameters, and delivering an electrical stimulation therapy to the diaphragm in accordance with the changed one of the plurality of stimulation parameters. The controller repeats the process of obtaining additional signals indicative of pressure based on a changing stimulation parameter by scanning through a range of values for the changing stimulation parameter. The controller derives a measure of interest from each of the obtained signals, and selects as an optimal stimulation therapy, the electrical stimulation therapy that results in a most acceptable measure of interest.
USER INTERFACE SYSTEM FOR AN INTERACTIVE EXERCISE MACHINE
A user interface for an interactive exercise system includes a display module held by a mechanical support system, with the display module able to display a video of a trainer. The trainer can be presented in full body view against a black background and a mirror element attached to at least partially cover the display module.
Interactive Exercise Machine System With Mirror Display
An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. A mirror element is attached to at least partially cover the display module. At least one movable arm is connected to the support system and at least one force-controlled component is connected to the mechanical support system. The force-controlled component can be graspable by a user and allows for a range of exercise types and programs.
Force Feedback Arm for an Interactive Exercise Machine
An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. A force-controlled motor is attached to the mechanical support system and a reel is driven by the force-controlled motor. The interactive exercise system also has a handle graspable by a user and includes a cord extending between the reel and the handle. Force applied through the force-controlled motor is based at least in part on detected user force input.