Patent classifications
A61B5/7214
EAR-WORN DEVICES WITH DEEP BREATHING ASSISTANCE
A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.
Photoplethysmography device with thermal trapping and/or warming capability and associated methods
A photoplethysmography (PPG) device includes an equipment module which includes a photodetector and first and second light emitting diodes (LED's) adapted to emit light of first and second wavelengths, respectively. The PPG device also includes a mask covering the patient facing extremity of the equipment module so that when the device is applied to a patient the mask is situated between the patient and the patient facing extremity. A processor is adapted to control drive current and/or operating time of the second LED to achieve an elevated localized body tissue temperature of a patient to which the PPG device is applied.
PHONOCARDIOGRAM (PCG)-BASED IN-CABIN HEART MONITORING
A heart monitoring system includes at least two sensors embedded in a seat, such as a driver's seat in a vehicle. One of the sensors obtains a phonocardiogram (PCG) of the driver's heart in addition to noise. Another sensor is a reference sensor that obtains a noise signal, but does not include the PCG signal. Processing circuitry receives the heart signal with the noise and the reference noise signal, and performs adaptive filtering to remove the noise from the heart signal. Further analysis detects a heart rate or other heart measurements in the heart signal, and may output an alert if a heart condition is detected.
PILOT TONE SIGNAL GENERATOR, MAGNETIC RESONANCE TOMOGRAPH, METHOD FOR TRANSMISSION OF A SYNCHRONIZATION SIGNAL AND COMPUTER PROGRAM PRODUCT
A pilot tone signal generator, a magnetic resonance tomograph, a method for transmission of a synchronization signal, and a computer program product are disclosed. The pilot tone signal generator includes a receive unit for receipt of a synchronization signal of a system control unit of a magnetic resonance tomograph. The synchronization signal may include a clock signal, and the pilot tone signal generator is configured to emit a pilot tone signal as a function of the synchronization signal.
REAL-TIME MONITORING DEVICE FOR HUMAN BODY
A real-time monitoring device for human body is disclosed. The real-time monitoring device includes a sensor module and a processor module, wherein the sensor module is adopted for contacting a human body like a baby's, so as to conduct a sensing work. The processor module is coupled to the sensor module for receiving a body temperature sensing signal, a first sound signal and a body activity sensing signal, and is configured for generating a second sound signal by collecting a sound emitted from the body. According to the present invention, the processor module is configured for determining whether the baby has a physical condition after applying processing and analyzing the body temperature sensing signal, the first sound signal, the second sound signal, and the body activity sensing signal. Moreover, the processor is also configured for to estimating physiological parameters of the baby.
DEVICE AND METHOD FOR RECEIVING BIOSIGNAL
Disclosed are a biosignal receiving device and a method thereof. The biosignal receiving device used in a communication system using a human body as a medium includes a receiving electrode unit including a plurality of receiving electrodes, an input selection unit including two MUXs for selecting one of the plurality of receiving electrodes, and that output biosignals received by the selected electrodes, a filter that removes noise included in the biosignals and output filtered signals from which the noise is removed, a differential amplifier that amplifies a difference between the filtered signals and output amplified signals, a CDR circuit that generates a data signal and a clock signal from the amplified signals and outputs the data signal and the clock signal, and a controller that output selection signals for selecting one of the plurality of receiving electrodes, based on the data signal and the clock signal.
Detection of hypokinetic and hyperkinetic states
The present invention relates to an automated method of determining a kinetic state of a person. The method obtains accelerometer data from an accelerometer worn on an extremity of the person and processes the accelerometer data to determine a measure for the kinetic state. The present invention further relates to a device for determining a kinetic state of a person. The device comprises a processor configured to process data obtained from an accelerometer worn on an extremity of the person and to determine from the data a measure for the kinetic state. In the method and system the kinetic state is at least one of bradykinesia, dyskinesia, and hyperkinesia.
Systems and methods for identifying biological structures associated with neuromuscular source signals
A system comprising a plurality of neuromuscular sensors, each of which is configured to record a time-series of neuromuscular signals from a surface of a user's body; and at least one computer hardware processor programmed to perform: applying a source separation technique to the time series of neuromuscular signals recorded by the plurality of neuromuscular sensors to obtain a plurality of neuromuscular source signals and corresponding mixing information; providing features, obtained from the plurality of neuromuscular source signals and/or the corresponding mixing information, as input to a trained statistical classifier and obtaining corresponding output; and identifying, based on the output of the trained statistical classifier, and for each of one or more of the plurality of neuromuscular source signals, an associated set of one or more biological structures.
Apparatus and method for analyzing in vivo component and impedance measuring apparatus
An apparatus for analyzing an in vivo component is provided. The apparatus for analyzing an in vivo component may include an impedance sensor including a first electrode and a second electrode configured to contact a fluid channel of a fluid to be analyzed. The apparatus may include an impedance measurement device configured to apply a current to the first electrode and the second electrode, measure a voltage between the first electrode and the second electrode based on applying the current, and measure an impedance of the fluid based on the measured voltage. The apparatus may include a processor configured to model the measured impedance using an equivalent circuit; and analyze the in vivo component based on modeling the measured impedance using the equivalent circuit.
System and method for interference and motion detection from dark periods
Systems and methods for interference and motion detection from dark periods are provided, including analysis of a physiological signal to determine a physiological parameter of a subject, using a photoplethysmography system to monitor signals during an LED-off period to identify interference or motion artifacts in the signal.