A wearable device includes a case, a bio-processor embedded in the case, and a plurality of electrodes connected to the bio-processor. The bio-processor is configured to selectively and respectively operate the electrodes as sensing electrodes and sourcing electrodes in response to a selection signal. The selected one/ones of the electrodes operated as sensing electrodes which pick up a biological signal from (e.g. biological activity or a biological condition of) the wearer. The selected one/ones of the electrodes operated as sourcing electrodes supply current to the wearer regulated to cause the desired biological signal to be picked up by the sensing electrode(s).

Systems and methods for detecting atrial arrhythmias such as atrial tachyarrhythmia (AT) are described herein. An AT detection system may include a heart rate detector circuit configured to detect, from a physiological signal, representative ventricular heart rates within heart rate analysis windows. An atrial tachyarrhythmia detector circuit may perform an initial rate detection using a first ventricular heart rate statistic generated from the representative ventricular heart rates, and to perform a sustained arrhythmia detection using one or more second ventricular heart rate statistics generated within a second plurality of heart rate analysis windows during a specific duration. An AT event is detected if the second ventricular heart rate statistics satisfy a specific condition throughout the specific duration. The AT detection system may include an output unit that may output the detected AT to a user or a process.

A biometric apparatus includes a first detector that detects and outputs a brain activity signal indicating a state of brain activity in a target person, and a signal processing circuit. The signal processing circuit acquires the brain activity signal, acquires a biological signal of the target person that is different from the brain activity signal, determines, based on the biological signal and the brain activity signal, whether a state of the target person is an awake state, a sleeping state, or an unconscious state, and generates and outputs a signal indicating the state of the target person.

This disclosure provides a monitoring apparatus and a statistical display method for physiological parameter(s) thereof. The method may include receiving statistical setting information including a time range, a time interval, a classification rule, and a target parameter, and the classification rule may define one or more types of the target parameter; obtaining N group of target parameter result corresponding to N time interval from a result of historical physiological parameter, where the N time interval is included in the time range, and the N group of target parameter result may be a physiological parameter result corresponding to the target parameter in the result of historical physiological parameter; counting the number of each type of the target parameter in the N group of target parameter result according to the classification rule, and obtaining N group of statistical result corresponding to the N time interval for each target parameter

A medical device senses cardiac electrical signals including T-waves attendant to ventricular myocardial repolarizations and detects a T-wave template condition associated with non-pathological changes in T-wave morphology. The device generates a T-wave template from T-waves sensed by the sensing circuit during the T-wave template condition. After generating the T-wave template, the device acquires a T-wave signal from the cardiac electrical signal and compares the acquired T-wave signal to the T-wave template. The device detects a pathological event in response to the acquired T-wave signal not matching the T-wave template.

An implantable medical device and method are provided for comprising a sensing circuit that is configured to sense and output physiologic data indicative of a physiologic characteristic of a patient and at least one processor. A memory is coupled to the at least one processor. The memory stores program instructions and processed data. The program instructions are executable by the at least one processor to execute general operational functions within the IMD. A hybrid signal processing (HSP) circuit is coupled to the at least one processor and the sensing circuit. The HSP circuit is adapted to filter the physiologic data. The HSP circuit comprises a plurality of first order filters, a plurality of higher order filters, and a switch matrix that is configured to interconnect a combination of the first and higher order filters to form a hybrid digital filter having a select composite frequency response that utilizes no more than a select power demand.

Systems and techniques for managing biological signals. In one implementation, a method includes receiving a cardiac biological signal that includes information describing events, determining a merit of each event based on one or more of a severity of a cardiac condition associated with the event and a quality of the event, and handling a subset of the events that meet a merit criterion. The subset can be handled for medical purposes.

A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk determination is accomplished and may have a sensitivity and specificity of greater than 95%, by generating linear and nonlinear mathematical digital ECG-constructed models from digital ECG-type data of an individual's digital ECG, determining stability/instability of digital ECG-constructed control model systems corresponding to the digital ECG-constructed models by a plurality of techniques and transforming stability/instability values obtained by the determining stability/instability into a quantitative value reflecting an individual's risk for SCD.

An IMD system receives a near field His bundle electrical signal produced by a patient's heart via a first sensing electrode vector and a far field cardiac electrical signal via a second sensing electrode vector different than the first sensing electrode vector. The IMD system generates His bundle pacing pulses delivered to the patient's heart via a His pacing electrode vector and determines a type of cardiac capture evoked by a His bundle pacing pulse.

A medical device is configured to deliver a high-energy electrical stimulation pulse to a patient that produces a post-stimulation polarization signal. A cardiac signal analyzer of the medical device is configured to detect a cardiac electrical signal superimposed on the post-stimulation polarization signal, determine at least one feature of the detected cardiac electrical signal, compare the feature to criteria that differentiate an intrinsic cardiac event during the post-stimulation polarization signal from an evoked response signal and identify the detected cardiac electrical signal as the intrinsic cardiac event if the feature meets the criteria.