A system for monitoring cardiac health of a user including a local sensing subsystem, a contactless interrogation subsystem, and a remote monitoring subsystem. The local sensing subsystem may include a sensor patch configured to attach to the user and include a substrate, a passive radio-frequency identification transponder, and a first antenna. The contactless interrogation subsystem may include an interrogator separated from the sensor patch, which may include a second antenna, a demodulator, and a communications link. The remote monitoring subsystem may include a computing system comprising a processor for executing instructions. The local sensing subsystem may be adapted to perform at least one scan. The contactless interrogation subsystem may be adapted to operate the demodulator to receive a cardiac event and to operate the communications link to transmit the cardiac event. The remote monitoring subsystem may be adapted to execute the instructions to detect an arrhythmia from the cardiac reading.

Systems and methods are provided for water resistant connectors. A male connector includes a rib or a draft angle that creates a seal when engaged with a female connector. A male connector includes an overmold that includes or is made of a thermoplastic elastomer. Male or female connectors include molds that include or are made of a thermoplastic polymer, such as polypropylene. A female connector includes spring contacts that fit within individual pockets of the female connector.

An ECG controller for an ECG device is connectable to a base ECG lead system (e.g., a 12-lead system) whereby the ECG controller implements an ECG waveform morphology based and ECG lead redundancy based detection and classification of any cable interchange (e.g., a limb cable interchange or a precordial cable interchange) between the ECG controller and the base ECG lead system. Alternatively, the ECG controller is further connectable to a sub-base ECG lead system (e.g., a limb only-lead system or a limited precordial-lead system) whereby the ECG controller implements an ECG waveform morphology based detection and classification of any cable interchange (e.g., a limb cable interchange or a precordial cable interchange) between the electrode interface and the sub-base ECG lead system.

A data collection unit obtains physiological data from a subject interface on a subject. The subject interface can be connected to the data collection unit. When the subject interface is connected to the data collection unit, subject interface contacts on the subject interface make contact with data collection unit contacts on the data collection unit. Some of the data collection unit contacts are for communicating physiological data from the subject interface to the data collection unit. Some of the contacts are for powering the data collection unit upon the subject interface being connected to the data collection unit and for powering down the data collection unit upon the subject interface being disconnected from the data collection unit.

An acute ischemia detection device comprises a 12-lead electrocardiograph (ECG) device (12), an electronic data processing device (12), and a display component (22). The electronic data processing device applies 12-lead ECG to vessel-specific lead (VSL) transforms (50) to 12-lead ECG data acquired by the 12-lead ECG device to generate VSL lead data (e.g., LAD, LCX, and RCA vessel-specific lead data), determines ST values for the VSL lead data, and decides whether the 12-lead ECG data acquired by the 12-lead ECG device indicates acute ischemia by comparing the ST values for the VSL lead data with VSL lead ST thresholds (60). The display component may display an acute ischemia alarm or warning if the decision is the 12-lead ECG data acquired by the 12-lead ECG device indicates acute ischemia, and/or may display the generated

Disclosed herein are methods, systems, and devices for identifying increased likelihood of non-ST elevation myocardial infarction (NSTEMI) in a patient based on ECG data. The methods can include determining based on the ECG data that the patient lacks ST elevation (STE) and that the patient exhibits a ventricular repolarization dispersion (VRD) score that exceeds a predetermined threshold value. The VRD score can be based in part on a T wave complexity ratio that serves as a temporal marker of VRD for the patient. Other markers of spatial and time qualities of repolarization can also be included in the VRD score. An elevated VRD score in the absence of STE can indicate a likelihood of NSTEMI in the patient and a potential major adverse cardiac event.

A medical monitoring and treatment device that includes a therapy delivery interface, a plurality of therapy electrodes coupled to the therapy delivery interface, a plurality of electrocardiogram sensing electrodes to sense electrocardiogram signals of a patient, a sensor interface to receive the electrocardiogram signals and digitize the electrocardiogram signals, and at least one processor coupled to the sensor interface and the therapy delivery interface to analyze the digitized electrocardiogram signals, to detect a cardiac arrhythmia based on the digitized electrocardiogram signals, and to control the therapy delivery interface to apply electrical therapy to the patient based upon the detected cardiac arrhythmia. The at least one processor is further configured to analyze a frequency domain transform of the digitized electrocardiogram signals, to determine a metric indicative of a metabolic state of a heart of the patient, and to accelerate or delay application of the electrical therapy based upon the metric.

A body worn patient monitoring device includes a flexible substrate having a plurality of electrical connections adapted to be coupled to a skin surface to measure physiological signals. The flexible substrate is adapted to be directly and non-permanently affixed to a skin surface of a patient and configured for single patient use. A communication-computation module, removably attached to an upper surface of the flexible substrate, is configured to receive physiological signals from the flexible substrate and includes a microprocessor that is configured to process and analyze the physiological signals. A series of resistive traces screened onto the flexible substrate are configured as at least one series current-limiting resistor to protect the communication-computation module.

Unique methods and bio-imaging systems are introduced herein for self-automated self-operable biomedical devices and methods for bio-signal monitoring, such as electrocardiograms (ECG), heart rate, and other vital signs, requiring no trained medical assistance or minimal assistance. In particular, methods and devices disclosed herein may require no dedicated medical resources, generate diagnostic quality results, and provide for motion artifact correction without inducing discomfort or irritation. Moreover, long term recording is realizable. Such methods and devices reduce the backlog of patients at out-patient wards as well as emergency response in remote areas.

Various patient monitoring systems, devices, and methods are disclosed for monitoring physiological parameters of a patient. A noninvasive blood pressure monitor can include an inflatable cuff, a pressure transducer, an air pump, and a plurality of air paths connecting the inflatable cuff, the pressure transducer, and the air pump. The monitor can also include an acoustic filter provided along at least one of the air paths. In some cases, the monitor can include first and second air pumps, as well as a processor to independently control operating characteristics of the air pumps. The processor can also control the air pumps so as to provide a first inflation rate for the inflatable cuff during a non-measurement portion of an inflation phase and a second, higher inflation rate during a measurement portion of the inflation phase.