Patent classifications
A61B5/113
Ambulatory vasoactivity monitor
Systems and methods for monitoring patient vasoactivity are discussed. An exemplary patient monitor system includes a sensor circuit configured to generate a heart sound (HS) metric using a HS signal sensed from a patient, and a vasoactivity monitor configured to monitor vasoactivity, such as degree of vasoconstriction or vasodilation, using the HS metric. The system can provide the monitored vasoactivity to a user to alert patient hemodynamic responses to vasoactive drugs, or initiate or adjust a vasoactive therapy according to the vasoactivity. The system may use the monitored vasoactivity to detect a medical condition such as worsening heart failure, pulmonary edema, or syncope.
Ambulatory vasoactivity monitor
Systems and methods for monitoring patient vasoactivity are discussed. An exemplary patient monitor system includes a sensor circuit configured to generate a heart sound (HS) metric using a HS signal sensed from a patient, and a vasoactivity monitor configured to monitor vasoactivity, such as degree of vasoconstriction or vasodilation, using the HS metric. The system can provide the monitored vasoactivity to a user to alert patient hemodynamic responses to vasoactive drugs, or initiate or adjust a vasoactive therapy according to the vasoactivity. The system may use the monitored vasoactivity to detect a medical condition such as worsening heart failure, pulmonary edema, or syncope.
DEVICE AND METHOD FOR DETERMINING AND/OR MONITORING THE RESPIRATORY EFFORT OF A SUBJECT
A device and method for determining and/or monitoring the respiratory effort of a subject are presented. The device comprises a receiving unit for receiving a posture signal of the subject, a breathing signal of the subject, and an electromyography signal of the subject; and a processing unit for determining an electromyography signal based on the posture signal and the breathing signal and for deriving the respiratory effort based on the determined electromyography signal.
Sensors and method for defining breathing signatures for identifying respiratory disease
A lung function analysis system includes motion sensing devices each including accelerometers, gyros, battery, processor, and ireless transmitter, the processor configured to read motion data from the accelerometers and gyros and transmit the motion data over the wireless transmitter. The system includes a data collection device receiving the motion data and recording the motion data in a database; and a computing device with a lung function data analysis routine adapted to analyze the motion data to provide information useful in treating pulmonary disease. In embodiments, the lung function analysis routine includes a classifier trained on a database of motion data and diagnoses. In embodiments, the accelerometers and gyros are three-axis and/or the devices include electromyographic sensors. In embodiments, the system includes remote sensors such as a stereo camera with or without markers, millimeter-wave radar, or an ultrasonic echolocation device. In embodiments the information produced may include FEV1, FVC, FEV1/FVC and FEF25/75.
Sensors and method for defining breathing signatures for identifying respiratory disease
A lung function analysis system includes motion sensing devices each including accelerometers, gyros, battery, processor, and ireless transmitter, the processor configured to read motion data from the accelerometers and gyros and transmit the motion data over the wireless transmitter. The system includes a data collection device receiving the motion data and recording the motion data in a database; and a computing device with a lung function data analysis routine adapted to analyze the motion data to provide information useful in treating pulmonary disease. In embodiments, the lung function analysis routine includes a classifier trained on a database of motion data and diagnoses. In embodiments, the accelerometers and gyros are three-axis and/or the devices include electromyographic sensors. In embodiments, the system includes remote sensors such as a stereo camera with or without markers, millimeter-wave radar, or an ultrasonic echolocation device. In embodiments the information produced may include FEV1, FVC, FEV1/FVC and FEF25/75.
BIOPSY APPARATUS AND SYSTEM
Certain aspects relate to biopsy apparatuses, systems and techniques for biopsy using a biopsy pattern. Some aspects relate to moving a distal portion of a medical instrument to one or more sample locations of the biopsy pattern and guiding the instrument to obtain tissue samples from the sample locations within the biopsy pattern. Some aspects relate to obtaining the biopsy pattern and adjusting the sample locations within the biopsy pattern based on various factors such as anatomical features.
BIOPSY APPARATUS AND SYSTEM
Certain aspects relate to biopsy apparatuses, systems and techniques for biopsy using a biopsy pattern. Some aspects relate to moving a distal portion of a medical instrument to one or more sample locations of the biopsy pattern and guiding the instrument to obtain tissue samples from the sample locations within the biopsy pattern. Some aspects relate to obtaining the biopsy pattern and adjusting the sample locations within the biopsy pattern based on various factors such as anatomical features.
SYSTEMS AND METHODS FOR MANAGING A POSITION MANAGEMENT PROTOCOL BASED ON DETECTED INCLINATION ANGLE OF A PERSON
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.
Medical device for therapeutic stimulation of the vestibular system
A method for providing vestibular stimulation includes: providing an infant in a vestibular stimulation device; associating sensors to the infant; moving the vestibular stimulation device to provide vestibular stimulation treatment; and obtaining sensor data during the treatment. The vestibular stimulation device includes a holder member; a platform; a mechanical system coupling the holder member to the platform; sensors configured to detect one or more parameters of the infant; and a computing system having a user input and/or output interface operably coupled to the mechanical system and the sensors to provide mechanical data to the mechanical system in order to control movement of the holder member relative to the platform and to collect the one or more parameters of the living subject from the sensors.
METHODS AND APPARATUS FOR DETECTION AND MONITORING OF HEALTH PARAMETERS
Methods and apparatus provide monitoring of coughing and/or a sleep disordered breathing state of a person. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of coughing and/or sleep disordered breathing. The processor may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type which may include generating an indication of a coronavirus disease or a coronavirus disease cough type.