Patent classifications
A61B5/243
Biomagnetic detection
Devices and systems as described herein is configured to sense a signal, such as a signal from an individual. In some embodiments, a signal is a magnetic field. In some embodiments, a source of a signal is an individuals organ, such as a heart muscle. A device or system, in some embodiments, comprises one or more sensors, such as an array of sensors configured to sense the signal. A device or system, in some embodiments, comprises a shield or portion thereof to reduce noise and enhance signal collection.
Biomagnetic detection
Devices and systems as described herein is configured to sense a signal, such as a signal from an individual. In some embodiments, a signal is a magnetic field. In some embodiments, a source of a signal is an individuals organ, such as a heart muscle. A device or system, in some embodiments, comprises one or more sensors, such as an array of sensors configured to sense the signal. A device or system, in some embodiments, comprises a shield or portion thereof to reduce noise and enhance signal collection.
Magnetometer for medical use
A medical magnetometer 10 comprising one or more induction coils 2 for detecting a time varying magnetic field of a region of a subject's body, such as the heart. Each coil has a maximum outer diameter of 4 to 7 cm, and a configuration such that the ratio of the coil's length to its outer diameter is at least 0.5, and the ratio of the coil's inner diameter to its outer diameter is 0.5 or less. Each induction coil 2 is coupled to a respective detection circuit comprising a low impedance pre-amplifier 3, a low pass filter 5, a notch filter 6 to remove line noise, and an averaging element 7. Each detection circuit produces an output signal 9 for use to analyze the time varying magnetic field of the region of the subject's body.
Measuring device
Provided is a measuring device that can ensure a level of a measurement signal while noise derived from the body movement of a subject is curbed. A measuring device according to the embodiments includes a first fixing body, a sensor fixing body configured to fix a sensor for detecting a biological signal, and the sensor, in which the first fixing body and the sensor fixing body have separate structures.
Measuring device
Provided is a measuring device that can ensure a level of a measurement signal while noise derived from the body movement of a subject is curbed. A measuring device according to the embodiments includes a first fixing body, a sensor fixing body configured to fix a sensor for detecting a biological signal, and the sensor, in which the first fixing body and the sensor fixing body have separate structures.
Signal processing methods and systems for biomagnetic field imaging
A computer system receives a plurality of signals corresponding to first time-series magnetic data generated from a plurality of unshielded magnetometers proximate to the human subject. The first time-series magnetic data corresponds to magnetic fields generated from the human subject. The plurality of signals includes contributions from a biomagnetic field from at least a portion of the subject's organ and a background magnetic field. The computer system synchronizes the first time-series magnetic data to a common clock to generate synchronized time-series magnetic data. The computer system applies one or more filters to the synchronized time-series magnetic data to obtain filtered data. The computer system applies one or more noise reduction techniques to the filtered data to generate updated time-series magnetic data.
Signal processing methods and systems for biomagnetic field imaging
A computer system receives a plurality of signals corresponding to first time-series magnetic data generated from a plurality of unshielded magnetometers proximate to the human subject. The first time-series magnetic data corresponds to magnetic fields generated from the human subject. The plurality of signals includes contributions from a biomagnetic field from at least a portion of the subject's organ and a background magnetic field. The computer system synchronizes the first time-series magnetic data to a common clock to generate synchronized time-series magnetic data. The computer system applies one or more filters to the synchronized time-series magnetic data to obtain filtered data. The computer system applies one or more noise reduction techniques to the filtered data to generate updated time-series magnetic data.
Multi-modal 3D marker for co-registration of biomagnetic and magnetic resonance imaging
A device for improving the precision of a biomagnetic image of a patient is provided. The device comprises a covering, a plurality of markers and at least five three-axis coils. Three-axis coils and markers of the plurality of markers are placed at the same location on the covering so that, when the covering is positioned on the patient, singular points of the part of the patient can be detected by magnetic resonance imaging and by biomagnetic imaging (MEG, MCG).
Multi-modal 3D marker for co-registration of biomagnetic and magnetic resonance imaging
A device for improving the precision of a biomagnetic image of a patient is provided. The device comprises a covering, a plurality of markers and at least five three-axis coils. Three-axis coils and markers of the plurality of markers are placed at the same location on the covering so that, when the covering is positioned on the patient, singular points of the part of the patient can be detected by magnetic resonance imaging and by biomagnetic imaging (MEG, MCG).
SIGNAL DENOISING BASED ON ADAPTABLE DEEP NEURAL NETWORKS
An electronic device and a method for implementation for signal denoising based on adaptable deep neural networks. The electronic device receives training data comprising a first bio-signal and a second bio-signal that is different from the first bio-signal. The electronic device computes a weighted sum of the first bio-signal and the second bio-signal. The electronic device generates a mixed signal based on the weighted sum. The electronic device generates an output signal based on application of a denoising neural network (DNN) on the mixed signal. Further, the electronic device computes a loss based on a comparison of the output signal with the first bio-signal and trains the DNN for a number of epochs until the computed loss is below a threshold.