Patent classifications
A61B5/113
Machine learning techniques for detecting splinting activity
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing splinting activity detection. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform splinting activity detection using at least one of splinting activity detection machine learning models, observed inspiration-expiration waveform pattern, and expected inspiration-expiration waveform patterns.
CATHETER FORCE CONTROL DEVICE
A catheter force control system including: a hand-held catheter force control device including: a base sized to be hand-held; a cover reversibly fastened to the base in a closed position; a sheath clamp coupled to the base, the sheath clamp capturing a sheath handle to immobilize the sheath handle relative to the base, the sheath clamp is an aperture formed in corresponding abutting edges of the cover and the base, the aperture being formed when the cover and the base are in the closed position; a catheter clamp capturing a catheter, a remote end of the catheter configured to deliver an ablation therapy; the catheter clamp aligned to be substantially co-axial with the sheath clamp; and a linear actuator effecting linear motion of the catheter clamp relative to the sheath clamp; a force sensor located at the remote end of the catheter, the remote end configured for contact with a target tissue, the force sensor detecting real-time contact force data; a controller for receiving the real-time contact force data and for generating and communicating a control signal to the linear actuator to minimize a difference between the real-time contact force data and a preset desired contact force during ablation therapy delivery to the target tissue, the control signal adjusting a position of the linear actuator to compensate for a disturbance of the remote end contact with the target tissue.
Biological state monitoring system
A biological state monitoring system (100) for monitoring a biological state of a subject on a bed (BD) over a predetermined monitoring period, includes: at least one load detector (11, 12, 13, 14) configured to detect a load of the subject on the bed; and a respiratory rate estimating unit (34) configured to successively obtain and output estimated values of a respiratory rate of the subject, based on a temporal variation of a detection value of the load detector. The monitoring period includes a body motion period in which the subject has a body motion, and a resting period in which the subject merely performs a respiration. In a case that the monitoring period shifts from a first resting period to the body motion period and then from the body motion period to a second resting period, the respiratory rate estimating unit outputs, in the body motion period and a predetermined period starting from the shifting from the body motion period to the second resting period, a last estimated value which is the latest among the estimated values obtained successively in the first resting period.
Biological state monitoring system
A biological state monitoring system (100) for monitoring a biological state of a subject on a bed (BD) over a predetermined monitoring period, includes: at least one load detector (11, 12, 13, 14) configured to detect a load of the subject on the bed; and a respiratory rate estimating unit (34) configured to successively obtain and output estimated values of a respiratory rate of the subject, based on a temporal variation of a detection value of the load detector. The monitoring period includes a body motion period in which the subject has a body motion, and a resting period in which the subject merely performs a respiration. In a case that the monitoring period shifts from a first resting period to the body motion period and then from the body motion period to a second resting period, the respiratory rate estimating unit outputs, in the body motion period and a predetermined period starting from the shifting from the body motion period to the second resting period, a last estimated value which is the latest among the estimated values obtained successively in the first resting period.
HEART ARRHYTHMIA NON-INVASIVE TREATMENT DEVICE AND METHOD
The present invention relates to a heart tissue ablation device comprising a charged particle emitting system 1, a control system 2 for instructing the accelerator and beamline when to create the beam and what its required properties should be, a patient positioning and verification system, an ultrasound cardiac imaging system 3 performed on the patient, able to track the target movement, a computer program to determine and record the safe motion margins, the treatment plans for one or more motion phases and a computer program to regulate the control system 2 to load the correct irradiation plan according to the motion phase and if the position of the target is inside of the position margin, the irradiation is enabled and if the position of the target is outside of the position margin, the irradiation is disabled.
System and Method for Diagnosis, Monitoring, and Treatment of Obstructive Sleep Apnea
A method and system detects a hypoxic condition during an obstruction of an airway of a subject to detect and treat obstructive sleep apnea (OSA) in the subject. The method and system includes an organ stimulating transducer configured for placement in a vicinity of an organ of the subject to stimulate the organ and remove the obstruction when OSA is detected.
ULTRA-WIDEBAND INTELLIGENT SENSING SYSTEM AND METHOD
A system and method is disclosed where an operating state may be determined by selecting one or more transmitting nodes for transmitting one or more radio-frequency (RF) signals. One or more receiving nodes may receive the one or more RF signals that may include one or more channel state data. The operating state may be determined based on one or more features extracted from the one or more channel state data. Another system and method is disclosed where a range compensation value may be determined by transmitting a radio-frequency (RF) signal from at least one transmitting node. The one or more receiving nodes may receive the RF signal and a channel state data may be estimated using the signal. The range compensation value may be determined using the channel state data and a position value indicating a location of the at least one transmitting node.
ULTRA-WIDEBAND INTELLIGENT SENSING SYSTEM AND METHOD
A system and method is disclosed where an operating state may be determined by selecting one or more transmitting nodes for transmitting one or more radio-frequency (RF) signals. One or more receiving nodes may receive the one or more RF signals that may include one or more channel state data. The operating state may be determined based on one or more features extracted from the one or more channel state data. Another system and method is disclosed where a range compensation value may be determined by transmitting a radio-frequency (RF) signal from at least one transmitting node. The one or more receiving nodes may receive the RF signal and a channel state data may be estimated using the signal. The range compensation value may be determined using the channel state data and a position value indicating a location of the at least one transmitting node.
SYSTEMS AND METHODS FOR MONITORING RESPIRATION AND MOTION
Systems and methods for remotely sensing movement of a mammalian subject utilize a radio frequency (RF) transmitter configured to impinge a RF signal on tissue of a mammalian subject, a RF receiver configured to receive a reflected RF signal, a processor configured to separately identify presence of respiratory and non-respiratory motion of the mammalian subject, and a memory configured to store processes signal values generated by or derived from the processor, wherein the processor is configured to compare one or more processed signals against one or more stored processed signal values, and detect a health state or health condition of the mammalian subject. Sleep apnea and respiratory events may be detected. In one embodiment, motion of a human infant may be mapped over time, and motion trends may be used to assess proper development of the infant.
SYSTEMS AND METHODS FOR MONITORING RESPIRATION AND MOTION
Systems and methods for remotely sensing movement of a mammalian subject utilize a radio frequency (RF) transmitter configured to impinge a RF signal on tissue of a mammalian subject, a RF receiver configured to receive a reflected RF signal, a processor configured to separately identify presence of respiratory and non-respiratory motion of the mammalian subject, and a memory configured to store processes signal values generated by or derived from the processor, wherein the processor is configured to compare one or more processed signals against one or more stored processed signal values, and detect a health state or health condition of the mammalian subject. Sleep apnea and respiratory events may be detected. In one embodiment, motion of a human infant may be mapped over time, and motion trends may be used to assess proper development of the infant.