Patent application number | Description | Published |
20130131530 | Method and Apparatus for Identifying Cardiac Risk - A cardiac-based metric is computed based upon characteristics of a subject's cardiac function. In accordance with one or more embodiments, the end of a mechanical systole is identified for each of a plurality of cardiac cycles of a subject, based upon an acoustical vibration associated with closure of an aortic valve during the cardiac cycle. The end of an electrical systole of an electrocardiogram (ECG) signal for each cardiac cycle is also identified. A cardiac-based metric is computed, based upon a time difference between the end of the electrical systole and the end of the mechanical systole, for the respective cardiac cycles. | 05-23-2013 |
20130289424 | SYSTEM FOR PROCESSING PHYSIOLOGICAL DATA - Physiological signals such as ECG signals are obtained from a patient. In accordance with one or more embodiments, an apparatus, system and/or method is directed to at least two ECG sensing electrodes that adhere to remote locations on a patient and sense ECG signals from the patient. An amplifier circuit amplifies the sensed ECG signals to provide amplified ECG signals, and a digitizing circuit digitizes the amplified ECG. A computing circuit processes the digitized ECG signals (e.g., by removing noise). A battery powers the aforesaid circuits, and a housing houses the battery and aforesaid circuit. A fastener mechanically fastens and electrically couples the housing to one of the electrodes, and the other electrodes are coupled to the amplifier via a flexible insulated lead wire. | 10-31-2013 |
20140005988 | PHYSIOLOGICAL SIGNAL DENOISING | 01-02-2014 |
20140136585 | PHYSIOLOGICAL SIGNAL DENOISING - Physiological signals are denoised. In accordance with an example embodiment, a denoised physiological signal is generated from an input signal including a desired physiological signal and noise. The input signal is decomposed from a first domain into subcomponents in a second domain of higher dimension than the first domain. Target subcomponents of the input signal that are associated with the desired physiological signal are identified, based upon the spatial distribution of the subcomponents. A denoised physiological signal is constructed in the first domain from at least one of the identified target subcomponents. | 05-15-2014 |
20140213921 | Method and Apparatus for Identifying Cardiac Risk - A cardiac-based metric is computed based upon characteristics of a subject's cardiac function. In accordance with one or more embodiments, the end of a mechanical systole is identified for each of a plurality of cardiac cycles of a subject, based upon an acoustical vibration associated with closure of an aortic valve during the cardiac cycle. The end of an electrical systole of an electrocardiogram (ECG) signal for each cardiac cycle is also identified. A cardiac-based metric is computed, based upon a time difference between the end of the electrical systole and the end of the mechanical systole, for the respective cardiac cycles. | 07-31-2014 |
20140296726 | Method and Apparatus for Identifying Cardiac Risk - A cardiac-based metric is computed based upon characteristics of a subject's cardiac function. In accordance with one or more embodiments, the end of a mechanical systole is identified for each of a plurality of cardiac cycles of a subject, based upon an acoustical vibration associated with closure of an aortic valve during the cardiac cycle. The end of an electrical systole of an electrocardiogram (ECG) signal for each cardiac cycle is also identified. A cardiac-based metric is computed, based upon a time difference between the end of the electrical systole and the end of the mechanical systole, for the respective cardiac cycles. | 10-02-2014 |
20140364756 | ECG SENSING APPARATUSES, SYSTEMS AND METHODS - Aspects of the present disclosure are directed to processing ECG signals from a subject. As may be implemented in accordance with one or more embodiments, respective electrodes sense ECG signals from a subject, and the ECG signals are digitized and processed, such as to remove noise, detect a QRS complex, evaluate quality, detect arrhythmia and/or to store the signals. In response to an input from the subject, one or more of the ECG signals is recorded along with sound from the user, such as to concurrently record the user's voice for describing conditions in connection with the recording of the ECG signals. This approach can be carried out in an enclosed housing, operated adjacent the subject's thorax. The processed digitized ECG signals and the audio signals are then communicated for receipt by an external device. | 12-11-2014 |
20160022164 | DETECTING FIDUCIAL POINTS IN PHYSIOLOGICAL SIGNALS - Various aspects are directed to identifying a region of interest in a physiological signal. As may be consistent with one or more embodiments, the physiological signal is decomposed into subcomponents, and a subset of the subcomponents is selected based upon overlap of spectral energy with expected spectral energy of the region of interest, in at least one of the subcomponents. At least two of the subcomponents in the subset are combined and compared to a threshold, with the comparison being used to identify the location of the region of interest. | 01-28-2016 |