The disclosure describes an enhancement to lead monitoring techniques, which uses a sensing integrity counter (SIC). The techniques of this disclosure may enhance lead monitoring techniques by detecting possible sensing issues based on a significant increase in periodic, e.g., daily, SIC counts relative to previous periods. Some issues with sensing cardiac signals via implantable cardiac leads can result in an implantable medical device (IMD) measuring very short intervals between what appears to be sensed heart beats. Examples of issues include insulation breach, conductor fracture, or poor electrical connection, which may cause noise that appears to be an R-wave. The IMD may detect the noise, along with actual R-waves, and determine that there are relatively short (e.g., less than a threshold) intervals between the “R-waves.” A significant increase in the number or frequency of very short intervals between R-waves may indicate the date/time of a significant sensing issue.

A garment (e.g., a shirt) for monitoring biometric properties of the wearer of the garment is disclosed. The garment may include sensors for monitoring or assessing biometric properties such as, but not limited to, respiration properties, heart properties, and motion properties. These properties may be assessed together to provide an assessment of vital signs and body position (e.g., three-dimensional body position) of the wearer of the garment.

In general, according to one embodiment, one aspect of the apparatus comprising a sensor configured to acquire biological signals of a user, the biological signals including first signals and second signals, reliability of the first signals being relatively higher than reliability of the second signals, and a controller configured to activate an alarm, if a ratio of a time period of first signals to a time period of the biological signals is less than a first threshold.

A communication system including a biosensor device that includes a frame configured to contain leads for electrode patches, which may comprise attachment points for electrode patches configured to allow signals detected by electrode patches attached to the attachment points to transmit to a processing unit, and configured to space the patches apart for use in medical monitoring. The frame may also be configured to contain one or more batteries and to electrically connect such batteries to the processing unit. The system may also include a smart phone or other mobile device configured to wirelessly receive data from the biosensor device and configured to transmit the received data to at least one of a cloud-based processing system, a database, and a healthcare provider's office.

A method for QT correction is provided, the method comprising receiving an ECG signal; extracting a plurality of beat-to-beat (RR) intervals; extracting a plurality of QT intervals; computing a first probability distribution for a range of QT values based on the plurality of QT intervals; computing a second probability distribution for a range of QT values based on the plurality of QT intervals and the plurality of RR intervals; solving one or more points, wherein the first probability distribution and the second probability distribution intersect or wherein a difference between the first probability distribution and the second probability distribution is below a pre-defined difference threshold; designating one of one or more QT values corresponding to the one or more points as a corrected QT interval for a given QT interval of the plurality of QT intervals.

Monitoring vital parameters of a wearer of a compression garment by analyzing a pressure signal waveform indicative of a fluid pressure in an inflatable and deflatable bladder of the compression garment. Analyzing the pressure signal waveform for an oscillating amplitude as a function of time and/or a representation of a pulse of the wearer provides an indication of blood pressure of the wearer.

This disclosure provides a monitoring apparatus and a statistical display method for physiological parameter(s) thereof. The method may include receiving statistical setting information including a time range, a time interval, a classification rule, and a target parameter, and the classification rule may define one or more types of the target parameter; obtaining N group of target parameter result corresponding to N time interval from a result of historical physiological parameter, where the N time interval is included in the time range, and the N group of target parameter result may be a physiological parameter result corresponding to the target parameter in the result of historical physiological parameter; counting the number of each type of the target parameter in the N group of target parameter result according to the classification rule, and obtaining N group of statistical result corresponding to the N time interval for each target parameter.

Systems, methods, and computer software for detecting atrial fibrillation are described. Photoplethysmographic (PPG) signal data may be received as communicated by a PPG sensor of a wearable device worn by a user. Heartbeats from a portion of the PPG signal data may be determined and a heart rhythm type may be determined based on at least the heartbeats. A determination of whether the heart rhythm type includes Atrial Fibrillation (AF) may be made, and, when AF is detected, an AF detection alert may be displayed at the wearable device.

This relates to methods for measuring irregularities in a signal and corresponding devices. The devices can include a PPG sensor unit configured to detect multiple occurrences of a given event in the measured signal(s) over a sampling interval. In some instances, the device can register the occurrences of the events. In some examples, the device can include one or more motion sensors configured to detect whether the device is in a low-motion state. The device may delay initiating measurements when the device is not in a low-motion state to enhance measurement accuracy. Examples of the disclosure further include resetting the sample procedure based on one or more factors such as the number of non-qualifying measurements. In some examples, the device can be configured to perform both primary and secondary measurements, where the primary measurements can include readings using a set of operating conditions different from the secondary measurements.

A device 2300 to be inserted into the ear canal having at least two thermistors 205, 207 for observing a temperature gradient in the ear canal of a user, and a photoplethysmography sensor 215, 217. Changes in the temperature gradient, heart rate and magnitude of the pulse are monitored for determining the risk of the user in facing an imminent heat stroke.