The invention comprises a method for estimating state of a cardiovascular system, comprising the steps of: providing a cardiac analyzer, comprising: a blood pressure sensor, the blood pressure sensor generating a time-varying pressure state waveform output from a portion of a person; a system processor connected to the blood pressure sensor; and a dynamic state-space model of a cardiovascular system, the system processor receiving cardiovascular input data, from the blood pressure sensor, related to a transient pressure state of the cardiovascular system, where at least one probabilistic model, of the dynamic state-space model, operating on the time-varying pressure state waveform output generates a probability distribution function to a non-pressure state of the cardiovascular system. The probability distribution function is iteratively updated using synchronized updated time-varying pressure state waveform output from the blood pressure sensor and a non-pressure state output related to a cardiovascular system parameter is generated.

A control method and system for filtering power line interference is disclosed. The control method includes the following steps. First, ECG signals are pre-segmented and rectified; then the sinusoidal frequency, amplitude, and phase of the rectified segmented signals are extracted. These estimated sinusoidal parameters from each recorded channel are weighted by their individual signal to noise ratios before being averaged to achieve the optimal powerline frequency, amplitude, and phase. Based on these optimal sinusoidal parameters, the individual sinusoidal waveform is reconstructed and then is subtracted from the corresponding ECG segment, in order to obtain the clean ECG signals. This method of filtering the powerline interference through removal from recorded signals enables accurate measurement without any ringing effect that could lead to signal distortion issues. Thus this invention solves the ringing problem encountered by traditional notch filter techniques when signal amplitude suddenly changes in a measurement.

Embodiments of a wearable monitoring device system can include one or more dry ECG electrodes and a processor that can be configured with one or more algorithms for detecting atrial fibrillation (AF) from sensed ECG signals sensed by the one or more dry ECG electrodes, and optionally other signals. In some embodiments the algorithms include one or more AF detection algorithms and optionally a noise detection algorithm. In some embodiments the wearable monitoring device or a remote system that receives data from the wearable medical device may calculate and/or characterize AF burden from ECG signals sensed by the one or more dry ECG electrodes.

Systems and methods are provided for the denoising of images in the presence of broadband noise based on the detection and/or estimation of in-band noise. According to various example embodiments, an estimate of broadband noise that lies within the imaging band is made by detecting or characterizing the out-of-band noise that lies outside of the imaging band. This estimated in-band noise may be employed for denoise the detected imaging waveform. According to other example embodiments, a reference receive circuit that is sensitive to noise within the imaging band, but is isolated from the imaging energy, may be employed to detect and/or characterize the noise within the imaging band. The estimated reference noise may be employed to denoise the detected in-band imaging waveform.

An instantaneous heartbeat reliability evaluation apparatus includes: extraction means which extracts waveforms having a maximum value corresponding to depolarization of a heart in a biosignal of an examinee; first calculation means which calculates an interval between two waveforms neighboring in a time series; dividing means which divides a signal output from measurement means into signals of predetermined periods; second calculation means which calculates feature quantities of a potential of each divided signal; first evaluation means which evaluates whether a measurement state of each divided signal is normal or abnormal on the basis of feature quantities; and second evaluation means which evaluates measurement states of two neighboring extracted waveforms on the basis of an evaluation result obtained by the first evaluation means and evaluates reliability of a measurement state of the interval between the waveforms depending on a type of the evaluated measurement states of the waveforms.

Artifacts due to delivery of an electrical signal (e.g., for neural stimulation or nerve block) can be eliminated from neural recordings. An activating stimulus (AS) can be applied by at least one neural electrode located at a first position within a body or a preparation proximal to a neural structure. The AS includes an electrical waveform configured to affect (e.g., stimulate or block) conduction in the neural structure. A counter stimulus (CS) can be applied by at least one electrode located at a second position within the body or the preparation remote from the neural structure. The CS includes an electrical waveform configured with a timing parameter and an amplitude parameter selected based on a feature of the AS. Artifacts due to the AS can be blocked by the CS during the neural recordings.

A system (1) for estimating the brain blood volume and/or brain blood flow and/or depth of anesthesia of a patient, comprises at least one excitation electrode (110E) to be placed on the head (20) of a patient (2) for applying an excitation signal, at least one sensing electrode (110S) to be placed on the head (20) of the patient (2) for sensing a measurement signal caused by the excitation signal, and a processor device (12) for processing said measurement signal (VC) sensed by the at least one sensing electrode (110S) for determining an output indicative of the brain blood volume and/or the brain blood flow. Herein, the processor device (12) is constituted to reduce noise in the measurement signal (VC) by applying a non-linear noise-reduction algorithm. In this way a system for estimating the brain blood volume and/or the brain blood flow of a patient is provided which may lead to an increased accuracy and hence more exact estimates.

The process for classifying anesthetic depth includes: collecting of biological signals, conditioning of said signals, monitoring of activity of the central and autonomic systems, measurement of indexes and classification of patterns in anesthetic depth. The activity includes: i) Awake: Vigil—Ak. and recovery of verbal response—Rc. ii) Light Anesthesia: Light induction anesthesia—Li. Light recovery—Lr, Light dose, increase in drugs or patient movement (La), iii) General anesthesia: General anesthesia—Ga, one minute after the start of the surgery, and iv) Deep anesthesia: identification of the EEG burst-suppression pattern (BSP) associated with deep anesthesia.

A system for accounting for adverse pacing artifacts may include an electrode apparatus and a computing apparatus. The electrode apparatus may include one or more external electrodes to monitor electrical activity from tissue of a patient. The computing apparatus may include one or more processors and may be operatively coupled to the electrode apparatus. The computing apparatus may be configured to monitor electrical activity from the tissue of the patient using the one or more external electrodes. Such electrical activity may be used to generate one or more cardiac signals of the patient over time. The computing apparatus may detect a pacing artifact in the one or more cardiac signals and determine whether to account for, and account for, the pacing artifact based on a pacing artifact characteristic of the pacing artifact when producing electrical heterogeneity information.

The present invention provides a medical image guidance marker to be placed in a body, adapted to be applicable to at least all three types of imaging modalities, namely, MRI, ultrasound, and CT, and to minimize the occurrence of artifacts. The present invention provides a medical image guidance marker to be placed in a body. The medical image guidance marker is made of an alloy with a magnetic susceptibility in the range from −13 ppm to −5 ppm and has a shape of a coil. The coil is formed of a wire with a wire diameter of not less than 0.15 mm and not more than 0.45 mm and has a coil diameter of not less than 0.55 mm and not more than 1.20 mm, and the pitch of the coil is not less than 0.3 mm and not more than 1.5 mm and is not less than 1.8 times and not more than 4 times the wire diameter.