A modular electrocardiogram recording system includes a control patch, a wearable patch configured to be electrically connected to the control patch and to be worn on a user's skin, a handheld panel configured to be electrically connected to the control patch and to be hand held by the user. The wearable patch includes one or more sensing electrodes configured to sense a first ECG signal from the user. The handheld panel includes one or more conductive pads configured to sense a second ECG signal from the user,

An electrocardiography monitor configured for self-optimizing ECG data compression is provided. ECG waveform characteristics are rarely identical in patients with cardiac disease making this innovation crucial for the long-term data storage and analysis of complex cardiac rhythm disorders. The monitor includes a memory and a micro-controller operable to execute under a micro-programmable control and configured to: obtain a series of electrode voltage values; select one or more of a plurality of compression algorithms for compressing the electrode voltage series; apply one or more of the selected compression algorithms to the electrode voltage series; evaluate a degree of compression of the electrode voltage series achieved using the application of the selected algorithms; apply one or more of the compression algorithms to the compressed electrode voltage series upon the degree of compression not meeting a predefined threshold; and store the compressed electrode voltage series within the memory.

A method and an apparatus for determining at least one smoothed data point (t.sub.k, s.sub.k) within a stream of data points {t.sub.i, s.sub.i} with 1iz, k<z is disclosed. Herein, the stream of data points {t.sub.i, s.sub.i} is consecutively acquired in a manner that a data point (t.sub.i, s.sub.i) is acquired after an acquisition of a preceding data point (t.sub.i-1, s.sub.i1), wherein each data point (t.sub.i, s.sub.i) comprises a valid value or an invalid value or a missing value for the signal s.sub.i at a time t.sub.i. Herein, the signal s.sub.i at the time t.sub.i comprises physical, chemical, biological, environmental, and/or technical data acquired by means of a technical set-up. According to the method, a set of data points is provided, wherein for each smoothed data point (t.sub.k, s.sub.k) a smoothing set is created. For each smoothed data point (t.sub.k, s.sub.k), trailing data resulting from large gaps are removed until it is verified whether the smoothing set comprises a minimal number of data points. Thereafter, for each smoothed data point (t.sub.k, s.sub.k) an initial slope set is calculated, on which at least one exponential smoothing is applied, in which cause an at least once modified slope set is determined. By integrating the at least once modified slope set, a value for the smoothed data point (t.sub.k, s.sub.k) is determined and returned. The method provides a good degree of smoothing without introducing any lag time and with minimal distortions, and is capable of reporting derivatives for the set of smoothed data points at the same time. The method is particularly suited in real-time or nearly real-time measurements which may comprise large gaps within the stream of data points.

Long-term electrocardiographic and physiological monitoring over a period lasting up to several years in duration can be provided through a continuously-recording subcutaneous insertable cardiac monitor (ICM). The sensing circuitry and the physical layout of the electrodes are specifically optimized to capture electrical signals from the propagation of low amplitude, relatively low frequency content cardiac action potentials, particularly the P-waves that are generated during atrial activation and storing samples of captured signals. In general, the ICM is intended to be implanted centrally and positioned axially and either over the sternum or slightly to either the left or right of the sternal midline in the parasternal region of the chest.

Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.

An apparatus includes a sensing circuit configured to generate a sensed physiological signal representative of cardiac activity of a subject, an arrhythmia detection circuit, a control circuit, and a memory. The arrhythmia detection circuit detects an episode of atrial fibrillation (AF) in the sensed cardiac signal using a first AF detection criterion, and detects the episode of AF using a second AF detection criterion. The first AF detection criterion has greater sensitivity to AF detection than the second AF detection criterion, and the second AF detection criterion has greater specificity to AF detection than the first AF detection criterion. The control circuit initiates storing of sampled values of a segment of the cardiac signal that includes the episode of AF when the episode of AF is detected by both the first AF detection criterion and the second AF detection criterion.

Provided is a film-type biomedical signal measuring apparatus configured in a such a way that a plurality of metallic thin film electrodes and a circuit unit are formed on a film-type piezoelectric element so as to easily attach the apparatus to the skin and an electrical signal as well as an electrical signal of a human body is simultaneously measured using the plurality of metallic thin film electrodes and the circuit unit. Accordingly, the film-type biomedical signal measuring apparatus simultaneously measures electrocardiogram (ECG) and ballistocardiogram (BCG) from the simultaneously measured electrical signal and vibration signal of the human body and extracts biomedical information of various types of health indexes such as a heart rate, a stress index, BCG, a blood pressure, an amount of physical activity, a respiration rate, and VO.sub.2max from the two different biomedical signals.

A medical device may include a sheath, and an elongate member disposed within a distal portion of the sheath, the elongate member configured to reciprocally move between a sheathed configuration and a deployed configuration. The elongate member may be substantially linear and disposed within the sheath while in the sheathed configuration and extend distally from the sheath in a first direction in the deployed configuration. The elongate member may include a first bend disposed distal to the distal portion of the sheath, the first bend directing the elongate sheath in a second direction that is substantially opposite to the first direction, and a second bend distal to the first bend, the second bend directing the elongate sheath in a third direction substantially transverse to the first and second directions. The elongate member may also include a third bend distal to the second bend, the third bend directing the elongate member in approximately the first direction, and a first elongate portion disposed between the second and third bends. The elongate member may also include a second elongate portion distal to the third bend, and at least one electrode.

A heart-rate associated with a heartbeat signal is determined. A transform is selected based on the determined heart-rate associated with the heartbeat signal and a reference heart-rate associated with a dictionary of a sparse approximation model. The transform is selected independent of other factors associated with generation of the heartbeat signal. The selected transform is applied to the dictionary of the sparse approximation model, generating an adjusted dictionary of the sparse approximation model. Anomalous heartbeats in the heartbeat signal are detected using the adjusted dictionary of the sparse approximation model.

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode and/or sensor for health monitoring.