The present invention provides a method and apparatus for reducing motion artifacts in ECG signals. According to an aspect of the present invention, there is proposed a method of reducing motion artifacts in ECG signals, comprising: acquiring a current beat from a continuously measured ECG signal of a patient; calculating a correlation coefficient between a previous mean value beat and the current beat in the ECG signal; determining the weights to be assigned to the previous mean value beat and the current beat based on the correlation coefficient; and calculating a current mean value beat based on the previous mean value beat, the current beat, and the weights thereof. Accordingly, the novel method of deriving the current mean value beat may reduce ECG artifacts due to patient movement in such a manner that the SNR of the ECG signal can be improved substantially.

Methods and systems provide for quick and precise analysis of ECG data, with a simple and understandable visualization and an effective way of communicating the proposed diagnosis suggestion to the medical personnel. Systems and methods detect electrical potentials from at least one lead and process at least one signal. The measurement itself may be executed on the raw signal, to compare measured parameters with a set of criterions related to various diseases, for example to sudden death syndrome.

An implanted device for an organ of a patient including a housing. The device includes a detector having electrodes that have a varying distance over time between them which produces a detector signal based on electrical signals derived from the organ. The device includes a signal processor disposed in the housing in communication with the detector which determines admittance from the detector signal based on the varying distance over time between the electrodes. The device includes a drive circuit disposed in the housing to cause the electrodes to generate emitted electrical signals. A method for monitoring a patient's organ.

Devices, systems, and methods for controlling acquisition of a signal representing a physiological measurement are described herein. An example device comprises: an input for receiving the signal in digital form, wherein the signal has been acquired by means of at least one electrode without galvanic contact between the electrode and the living being and has been processed by circuitry for acquisition of the signal in analog domain to refine the signal before the signal is converted from analog to digital domain; an adaptation decision module, being configured to determine whether a measure of signal quality indicates that an adaptation of the circuitry for acquisition of the signal in analog domain is beneficial for the robustness of the system and/or the quality of the obtained signals; wherein the adaptation decision module, is arranged to output a control signal for controlling a parameter affecting amplifier saturation in processing of the signal.

An implantable medical device comprises a communication module that comprises at least one of a receiver module and a transmitter module. The receiver module is configured to both receive from an antenna and demodulate an RF telemetry signal, and receive from a plurality of electrodes and demodulate a tissue conduction communication (TCC) signal. The transmitter module is configured to modulate and transmit both an RF telemetry signal via the antenna and a TCC signal via the plurality of electrodes. The RF telemetry signal and the TCC signal are both within a predetermined band for RF telemetry communication. In some examples, the IMD comprises a switching module configured to selectively couple one of the plurality of electrodes and the antenna to the receiver module or transmitter module.

The disclosure herein provides cardiac monitoring and diagnostic system, methods, and devices. A cardiac diagnostic system for detecting potential indicators of cardiac disease comprises: a cardiac monitoring device comprising at least one electrode configured to detect an analog electrical cardiac signal of a user; a cardiac signal filter configured to convert the analog electrical cardiac signal to digital electrocardiogram data; an atypical cardiac sequence detector configured to detect atypical cardiac patterns in the electrocardiogram data that are potentially indicative of cardiac disease; and a notification transmitter configured to generate an alert when a detected atypical cardiac pattern is determined to be indicative of cardiac disease.

Medical devices and methods for making and using medical devices are disclosed. An example method may include a method of identifying an activation time in a cardiac electrical signal. The method may include sensing a cardiac electrical signal, generating an approximation signal based at least in part on one or more parameters of the cardiac electrical signal, identifying a fiducial point on the approximation signal and determining, based at least in part on a timing of the fiducial point in the approximation signal, an activation time in the cardiac electrical signal.

Ambulatory monitoring of human health is provided by a multi-component multi-sensor wireless wearable biosignal acquisition system comprising a torso device and a peripheral device communicating wirelessly, and a mobile phone for receiving collected data and uploading it over cellular network or WiFi to a remote computer for multivariate analysis. Biosignals include EKG and PPG, from which a determination of pulse transit time can be made.

A system including a medical device is provided. The medical device includes at least one sensor configured to acquire first data descriptive of a patient, first memory storing a plurality of templates, and at least one processor coupled to the at least one sensor and the first memory. The at least one processor is configured to identify a first template of the plurality of templates that is similar to the first data, to determine first difference data based on the first template and the first data, and to store the first difference data in association with the first template. The system may further include the programmable device.

The invention provides decision tree based systems and methods for estimating the risk of acute coronary syndrome (ACS) in subjects suspect of having ACS. In particular, systems and methods are provided that employ additive decision tree based algorithms to process a subject's initial cardiac troponin I or T (cTnI or cTnT) concentration, a subject's cTnI or cTnT rate of change, and at least one of the following: the subject's age, the subject's gender, the subject's ECG value, the subject's hematology parameter value, to generate an estimate risk of ACS. Such risk stratification allows, for example, patients to be ruled in or rule out with regard to needing urgent treatment.