72 results about "Wearable cardioverter defibrillator" patented technology

In some embodiments, a wearable cardioverter defibrillator (“WCD”) system may output an opening human-perceptible indication, after detecting a shockable cardiac arrhythmia but before validating it. This may succeed in informing the patient that the WCD system is working, and in particular analyzing a just-detected cardiac arrhythmia. The information may give comfort and confidence to the patient who may be conscious, and be experiencing only ventricular tachycardia but not ventricular fibrillation.

Components of wearable cardiac defibrillator (WCD) systems, software, and methods are provided. A WCD system includes a support structure that a patient can wear and electrodes that can capture at least two of the patient's ECG signals. A component includes an energy storage module that can store an electrical charge, a discharge circuit, and a processor that can make a shock/no shock determination, and cause the discharge circuit to discharge the stored charge, if the determination is to shock. In some embodiments, the processor discards at least one of the ECG signals prior to making the shock/no shock determination. The determination can be made from the remaining one or more ECG signals. In some embodiments, the processor makes an aggregate shock/no shock determination from two or more of the ECG signals.

In embodiments a WCD system is worn and/or carried by an ambulatory patient. The WCD system analyzes an ECG signal of the patient, to determine whether or not the patient should be given an electric shock to restart their heart. If so, then the WCD system first gives a preliminary alarm to the patient, asking them to prove they are alive if they are. The WCD system further determines whether the ECG signal contains too much High Amplitude (H-A) noise, which can distort the analysis of the ECG signal. If too much H-A noise is detected for a long time, the WCD system may eventually alert the patient about their activity, so that the ECG noise may be abated. The WCD system may even pause the analysis of the ECG signal, so that there will be no preliminary alarms that could be false until the ECG noise is abated.

In embodiments, a wearable cardioverter defibrillator (WCD) system is configured to be worn by an ambulatory patient. In the event that the WCD system determines that defibrillation is needed, it delivers a defibrillation shock. To diminish the possibility that the patient will be shocked due to a false positive detection, the WCD system alerts a patient that a defibrillation shock is imminent, and invites them to react to avert it. Alerting may be by a very weak shock, or jolt. Alerting by a jolt can be a last resort warning. An advantage can be that the patient has a higher chance of being alerted by the jolt, especially in the event that the patient is not reacting to other human-perceptible alerts, such as when the patient is riding a motorcycle.

A wearable cardioverter defibrillator (“WCD”) system may include an impedance detector configured to render an impedance signal of the patient. The WCD system may determine, from the impedance signal, a characteristic of breathing by the patient that can be used as a vital sign. The WCD system may determine, from at least the breathing characteristic, whether or not a shock criterion is met. If the shock criterion is met, the WCD system may control a discharge circuit to discharge a stored electrical charge through the patient. An advantage can be that the breathing characteristic may be used to determine whether or not a patient is experiencing a condition that requires defibrillation therapy, such as sudden cardiac arrest. Even more advantages can be had in discerning the state of the patient when the breathing characteristic is combined with other data, such as from a motion detector.

In embodiments, a WCD system includes one or more transducers that may sense patient parameters from different parts of the patient's body, and thus render physiological inputs from those parameters. Individual analysis scores may be determined from the physiological inputs, and an aggregate analysis score may be determined from the individual analysis scores. A shock/no shock determination may be made depending on whether or not the aggregate analysis score meets an aggregate shock criterion. Accordingly, multiple inputs are considered in making the shock/no shock determination.

A wearable cardioverter defibrillator (WCD) system includes a support structure that the patient may wear, and one or more sensors that may acquire patient physiological signals, such as ECG and others. A processor of the WCD system may determine diagnostics from the patient physiological signals. These diagnostics include a six-second ECG portion, heart rates as histograms, heart rates against QRS width, heart rate trends, clinical event counters, diagnostics relating to heart rate variability and about the atrial arrhythmia burden of the patient. In some embodiments, the WCD system includes a user interface with a screen that displays these diagnostics. In some embodiments, the WCD system exports these diagnostics for viewing by a different screen. When viewed, these diagnostics permit more detailed analysis of the state of the patient.

In embodiments a wearable cardioverter defibrillator (WCD) system is worn by an ambulatory patient. The WCD system analyzes an ECG signal of the patient, to determine whether or not the patient should be given an electric shock to restart their heart. If the WCD system determines that such a shock should be given, then it also determines whether or not a High Frequency (H-F) noise criterion is met by the ECG signal. If that H-F noise criterion is not met, the patient can be shocked. If, however, that H-F noise criterion is met, then the WCD system can confirm before shocking, by sensing another portion of the ECG signal, analyzing again, and so on. Thanks to the confirmation before shocking, the possibility is diminished that the ECG signal will indicate that a shock is needed falsely, due to H-F noise. This can further reduce false patient alarms, and so on.

Embodiments are directed to wearable cardioverter defibrillator (WCD) systems that include patient parameter electrodes, such as ECG electrodes, that are at least substantially electrically isolated from other circuits of the WCD system. In embodiments, the WCD system includes a power source, an energy storage module, and a processor each connected to a first circuit ground. A patient parameter sense port, such as an ECG port, is coupled to the patient. A measurement circuit may render a physiological input from the sensed patient parameter received at the patient parameter sense port, and the measurement circuit includes an isolating circuit that electrically isolates the patient parameter sense port from the first circuit ground. The sensing of physiological inputs of the patient can be improved, resulting in fewer erroneous readings and false alarms.

A Wearable Cardioverter Defibrillator (WCD) system comprises an electrode assembly with a permeable ECG electrode and a moisture barrier. In some embodiments, the moisture barrier is configured to reduce drying out of the permeable ECG electrode to improve performance of the WCD system. In a further enhancement, some embodiments of the electrode assembly also include a pillow structure positioned on a non-skin-contacting surface of the electrode assembly to comfortably reduce movement artifact or noise in the received ECG signal.

A wearable cardioverter defibrillator (WCD) system includes a processor, a memory, a wireless communication module (DWCM), and an NFC tag that stores information for how an accessing device may access the DWCM wirelessly. An accessing device such as a defibrillator configurator with an NFC reader may read the NFC tag of the WCD system, if it has adequate permission to do so. Upon so reading, the accessing device will know how to address the DWCM wirelessly, and thus install or update configuration data, software updates, or request memory downloads from operations. The use of the NFC tag requires close proximity, which hampers both inadvertently programming the wrong WCD system, plus a WCD system being attacked maliciously.

In embodiments, a Wearable Cardioverter Defibrillator (WCD) system includes a support structure for the patient to wear, and components that the support structure maintains on the patient's body. The components include a defibrillator, associated electrodes, and so on. The defibrillator can operate in a WCD mode while the patient wears the support structure. The defibrillator can further operate in a different, AED mode, during which time the patient need not wear a portion of the support structure, or even the entire support structure. Sometimes the AED mode is a type of a fully automatic AED mode. Other times the AED mode is a type of a semi-automated AED mode, where an attendant is present to administer the shock; at such times, the patient may not even need to have electrodes attached. This way the patient is more comfortable for a longer time.

A wearable cardioverter defibrillator (“WCD”) system includes a support structure that can be worn by a patient, and a defibrillator coupled to the support structure. An ECG input, rendered from an ECG of the patient, may meet a primary shock criterion. One or more sensor modules are further provided, which are worn by the patient at different times. The sensor modules may monitor different physiological parameters of the patient, and transmit signals about them. The WCD system further has a multi-sensor interface to receive the transmitted signals, and a processor to determine from them whether a secondary shock criterion is met. If both the primary and the secondary shock criteria are met, the decision is to shock. The signals increase specificity of the detection, while the patient can wear different modules depending on context.

“Artificial Intelligence” or “AI” technology can be applied to Wearable Cardioverter Defibrillators (“WCDs”) and other wearable medical equipment in various ways, including:

• • garment fitting and adjustment;
  • analyzing electrocardiogram (“ECG”), other sensor data and/or other patient data (e.g., age, gender, previous medical conditions, etc.) in real time to detect/assess the patient's present condition and/or need for treatment for cardiac and other conditions (e.g., stroke, coughing, apnea, etc.);
  • detect imminent failure of the wearable medical device components
  • capturing and reporting data collected from the patient for presenting to clinicians
  • adjusting thresholds for alarms and notifications based on patient's responses;
  • improving patient compliance based on the patient's past non-compliant behavior and actions that resulted in the patient becoming compliant;
  • providing tests to the patient (e.g., grip test, dexterity tests, balance tests, etc.) and learning the patient's responses to detect/assess the patient's present condition and/or need for treatment;
  • learning the patient's voice, activity, posture, time of day, etc. for implementing intelligent voice recognition/activation of the medical device.

In embodiments, a wearable cardioverter defibrillator (WCD) system includes electrodes that render an ECG signal of the patient, and a processor that receives ECG data are derived from the rendered ECG signal. The processor may filter the received ECG data with a matched difference filter to detect QRS complexes, and compute a heart rate from the detected QRS complexes. The matched difference filter itself can have coefficient values associated with a baseline QRS complex, which improves detection.

In embodiments, a wearable medical system (WMS) for an ambulatory patient, which can be a wearable cardioverter defibrillator (WCD) system, analyzes the patient's ECG signal to generate a detection outcome. The WMS also has an ambulatory user interface that outputs a human-visible indication. A programming device, such as a PC, a tablet, etc., establishes a communication link with the WMS during an in-person session with the patient. The programming device may include a programming screen that reproduces the human-visible indication in real time. An advantage can be that the person programming the WMS need not strain to look also at the ambulatory user interface at the time they are looking at the programming device. Another advantage can be that the patient will recognize that he or she is better protected, and have their confidence in the WMS increased, and therefore better comply with wearing the WMS as required.

Methods, apparatus, and systems relating to a Wearable Cardioverter Defibrillator (WCD) system capable of logging event data and/or broadcasting state changes and/or system status information to external clients are described. In an embodiment, a processor stores data corresponding to one or more event markers in memory in response to occurrence of an event. Occurrence of the event is detected based at least in part on detection of one or more parameters by one or more sensors or a signal to be generated by one or more of electrodes of the WCD system. A communication device transmits at least a portion of the stored data to a remote device. A patient condition or a WCD system condition can then be detected based at least in part on analysis of the stored data and/or the transmitted portion of the stored data. Other embodiments are also disclosed and/or claimed.

A wearable cardioverter defibrillator system includes a support structure that is configured to be worn by a patient. When thus worn, the support structure may attach electrodes at different locations of the patient's body, so as to define different vectors. A measurement circuit may sense ECG signals from the different vectors substantially concurrently. A processor may multiply together these substantially concurrent ECG signals to derive a product waveform. The processor may then detect peaks in the product waveform, measure durations of time intervals between successive peaks, and determine the patient's heart rate from these durations. An advantage can be that the heart rate may be computed notwithstanding noise in the individual ECG signals.

A wearable cardioverter defibrillator system includes a support structure that a patient can wear. The system also includes electrodes that contact the patient, and define two or more channels from which ECG signals are sensed. A processor may evaluate the channels by analyzing their respective ECG signals, to determine which contains less noise than the other(s). The analysis can be by extracting statistics from the ECG signals, optionally after first processing them, and then by comparing these statistics. These statistics may include tall peak counts, amplitudes of peaks compared to historical peak amplitudes, signal baseline shift, dwell time near a baseline, narrow peak counts, zero crossings counts, determined heart rates, and so on. Once the less noisy signal is identified, its channel can be followed preferentially or to the exclusion of other channels, for continuing monitoring and/or determining whether to shock the patient.