An electrocardiogram (ECG) acquisition system comprises a processor configured to process an ECG signal from a patient, a plurality of ECG electrodes configured to be coupled to the patient to obtain the ECG signal from the patient, and an analog-to-digital (A/D) converter configured to acquire the ECG signal from the plurality of ECG electrodes, and to provide the ECG signal to the processor as ECG data representative of the ECG signal. The A/D converter is configured to acquire the ECG signal at a first resolution and the processor is configured to process the ECG data at a second resolution, and the first resolution is higher than the second resolution.

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.

Improved human health monitoring is provided in the context of sensor measurements of typical vital signs and other biological parameters, by a system and method using an empirical model of the parameters and disposed to estimate values of the parameters in response to actual measurements. Residuals resulting from the difference between the estimates and actual measurements are analyzed for robust indications of incipient health issues. Residual analysis is both more robust and more sensitive than conventional univariate range checking on vital signs.

An adherent device to monitor a patient for an extended period comprises a breathable tape. The breathable tape comprises a porous material with an adhesive coating to adhere the breathable tape to a skin of the patient. At least one electrode is affixed to the breathable tape and capable of electrically coupling to a skin of the patient. A printed circuit board is connected to the breathable tape to support the printed circuit board with the breathable tape when the tape is adhered to the patient. Electronic components electrically are connected to the printed circuit board and coupled to the at least one electrode to measure physiologic signals of the patient. A breathable cover and/or an electronics housing is disposed over the circuit board and electronic components and connected to at least one of the electronics components, the printed circuit board or the breathable tape.

A system that observes and analyzes, and, only in the event of a significant negative condition, notifies and reports the event. In a hospital environment, the device includes a bedside unit connected to a pad or coverlet with a sensor array (placed under the patient) and also to an existing hospital nurse call system via an interface. The bedside unit is a wall-mounted unit with a display that becomes active when an alarm condition is enabled. Vigilance alarms are suspended if a patient is detected out of bed. An unable-to-measure alert is provided if the system is unable to reliably monitor. An alert message is generated and maintained on the display screen to inform a responding caregiver of the time and reason for any alarm. The system also may be adapted for use as a monitoring system for operators of motor vehicles, aircraft or other devices.

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.

Techniques are disclosed for detecting arrhythmia episodes for a patient. A medical device may receive one or more sensor values indicative of motion of a patient. The medical device may determine, based at least in part on the one or more sensor values, an activity level of the patient. The medical device may determine a heart rate threshold for triggering detection of an arrhythmia episode based at least in part on the activity level of the patient. The medical device may determine whether to trigger detection of the arrhythmia episode for the patient based at least in part on comparing a heart rate of the patient with the heart rate threshold. The medical device may, in response to triggering detection of the arrhythmia episode, collect information associated with the arrhythmia episode.

An electrocardiogram information dynamic monitoring method and dynamic monitoring system. The method includes a dynamic monitoring device receiving monitoring reference data input by a user or issued by a server; the data collection on a tested object so as to obtain electrocardiogram data of the tested object; the characteristic identification on the electrocardiogram data so as to obtain characteristic signals of the electrocardiogram data, implementing cardiac activity classification on the electrocardiogram data according to the characteristic signals, obtaining cardiac activity classification information according to electrocardiogram basic rule reference data, and generating electrocardiogram event data, wherein the electrocardiogram event data comprises device ID information of the dynamic monitoring device; the dynamic monitoring device determining corresponding electrocardiogram event information according to the electrocardiogram event data, and determining whether the electrocardiogram event information is electrocardiogram abnormality event information; and outputting alarm information when the electrocardiogram event information is electrocardiogram abnormality event information.

A method of determining signal quality in a patient monitoring device includes acquiring one or more signals using the patient monitoring device. One or more signal quality metrics are determined based on the one or more acquired signals. A noise condition is detected based on the one or more signal quality metrics, and a determination is made whether the noise condition should be classified as intermittent or persistent. One or more actions are taken based on the classification of detected noise as intermittent or persistent.

A system includes a millimeter-wave radar sensor disposed on a circuit board, a plurality of antennas coupled to the millimeter-wave radar sensor and disposed on the circuit board, and a processing circuit coupled to the millimeter-wave radar sensor and disposed on the circuit board. The processing circuit is configured to determine vital signal information based on output from the millimeter-wave radar sensor.