A61B5/7217

FEATURE EXTRACTION WITH AUTOMATIC SAMPLING WINDOW DEFINITION

A system may include a stimulator, sensing circuitry and a controller. The stimulator may be operably connected to at least one stimulation electrode, and configured to deliver an electrical waveform for an electrical therapy using the at least one stimulation electrode. The sensing circuitry may be operably connected to at least one sensing electrode, and configured to sense electrical potentials that are evoked by the electrical waveform to provide sensed evoked signals. The controller may be operably connected to the stimulator and the sensing circuitry. The controller may be configured to automatically define a sampling window, sample the sensed evoked potentials during the sampling window to provide sampled values, detect at least one feature from the sampled values, and automatically provide feedback for closed-loop control of the electrical therapy based on the at least one feature.

Alert presentation based on ancillary device conditions

In one embodiment, a method to differentiate between causes of noise in an electrocardiogram (ECG) signal. The method connecting to at least one sensing electrode and obtaining the ECG signal from the at least one sensing electrode. The method also includes detecting noise on the ECG signal and detecting ancillary conditions. The method also includes associating the noise on the ECG signal with at least one of the ancillary conditions and providing an actionable indication to a patient associated with the noise on the ECG signal.

APPARATUS AND METHOD FOR DETECTING LIGHT SIGNAL

Provided is an apparatus configured to detect a light signal, the apparatus including a light source configured to radiate light toward an object, a light receiver configured to receive an ambient light and a transmitted light corresponding to the light radiated toward the object from the light source, at least one processor configured to control the light source to be turned off such that a first output signal is generated by the light receiver and control the light source to be turned on such that a second output signal is generated by the light receiver, and an operator configured to generate a transmitted light signal from which noise is removed by differentially operating the second output signal from the first output signal.

PHYSIOLOGICAL INFORMATION PROCESSING APPARATUS AND PHYSIOLOGICAL INFORMATION PROCESSING METHOD
20230093107 · 2023-03-23 ·

The physiological information processing apparatus: acquires electrocardiogram data of a subject; detects a QRS complex from the electrocardiogram data; acquires pulse wave data of the subject; detects a pacing pulse output from an apparatus worn by the subject; determines whether the pacing pulse is detected in a time period in which the QRS complex is not detected when the time period is equal to or longer than a predetermined time width; determines, based on the pulse wave data, whether a pulse wave is present within predetermined time from a detection time point at which die pacing pulse is detected; and determines, according to a determination that the pulse wave is present within the predetermined time, that the QRS complex is actually present in the time period.

Systems and methods for denoising physiological signals during electrical neuromodulation

Systems and methods are described for denoising, or filtering out, unwanted noise or interference, from biological or physiological parameter signals or waveforms such as ECG signals caused by application of electromagnetic energy (e.g., electrical stimulation) in a vicinity of sensors configured to obtain the biological or physiological parameter signals.

His-Purkinje system capture detection

A medical device is configured to sense a cardiac electrical signal and determine from the cardiac electrical signal at least one of a maximum peak amplitude of a positive slope of the cardiac electrical signal and a maximum peak time interval from a pacing pulse to the maximum peak amplitude. The device is configured to determine a capture type of the pacing pulse based on at least one or both of the maximum peak amplitude and the maximum peak time interval.

PERIOD-BASED ARTIFACT RECONSTRUCTION AND REMOVAL FOR DEEP BRAIN STIMULATION

Methods and systems for improved removal of deep brain stimulation artifacts from electrical measurements of brain activity. In one embodiment, a method is provided that includes: receiving, by a computing device having a processor, waveform data caused by a deep brain stimulation of a patient-specific area of interest; determining, by the computing device, a stimulation period relative to a sampling rate; identifying, by the computing device and based on the waveform data and the stimulation period, a stimulation artifact; subtracting, by the computing device, the identified stimulation artifact from the received waveform data; and generating, in real-time, a filtered waveform data indicating an absence of the stimulation artifact.

Removal of stimulation artifact in multi-channel neural recordings

Stimulation of nervous system components by electrodes can be used in many applications, including in the operation of brain-machine interfaces, bidirectional neural interfaces, and neuroprosthetics. The optimal operation of such systems requires a means of accurately measuring neural responses to such stimulations. However, currently the measurement of neural responses is difficult due to heavy stimulation artifacts arising from stimulatory pulses. The invention encompasses novel methods of estimating stimulation artifacts in measurements attained by recording electrodes and the effective removal of these artifacts. This provides improved neural recording systems and enables the deployment of closed-loop neural stimulation systems.

Circuitry to assist with neural sensing in an implantable stimulator device in the presence of stimulation artifacts

Sense amplifier circuits particularly useful in sensing neural responses in an Implantable Pulse Generator (IPG) are disclosed. The IPG includes a plurality of electrodes, with one selected as a sensing electrode and another selected as a reference to differentially sense the neural response in a manner that subtracts a common mode voltage (e.g., stimulation artifact) from the measurement. The circuits include a differential amplifier which receives the selected electrodes at its inputs, and comparator circuitries to assess each differential amplifier input to determine whether it is of a magnitude that is consistent with the differential amplifier's input requirements. Based on these determinations, an enable signal is generated which informs whether the output of the differential amplifier validly provides the neural response at any point in time. Further, clamping circuits are connected to the differential amplifier inputs to clamp these inputs in magnitude to prevent the differential amplifier from damage.

Charging station for physiological monitoring device
11637437 · 2023-04-25 · ·

A charging station for providing power to a physiological monitoring device can include a charging bay and a tray. The charging bay can include a charging port configured to receive power from a power source. The tray can be positioned within and movably mounted relative to the charging bay. The tray can be further configured to secure the physiological monitoring device and move between a first position and a second position. In the first position, the tray can be spaced away from the charging port, and, in the second position, the tray can be positioned proximate the charging port, thereby allowing the physiological monitoring device to electrically connect to the charging port.