Physiological monitoring can be provided through a syncope sensor imbedded into an electrocardiography monitor, which correlates syncope events and electrocardiographic data. Physiological monitoring can be provided through a lightweight wearable monitor that includes two components, a flexible extended-wear electrode patch and a reusable monitor recorder that removably snaps into a receptacle on the electrode patch. The wearable monitor sits centrally on the patient's chest at the sternal midline and includes a unique narrow “hourglass”-like shape, significantly improving the ability of the monitor to cutaneously sense cardiac electrical potential signals, particularly the P-wave and QRS interval signals, which indicate ventricular activity in electrocardiographic waveforms. The electrocardiographic electrodes on the electrode patch are tailored for axial positioning along the midline of the sternum to capture action potential propagation in an orientation that corresponds to the aVF lead in a conventional 12-lead electrocardiogram, which senses positive P-waves.

A method and associated apparatus combine a calculation of chaos of a quantifiable cardiac characteristic associated with a patient with a measurement of a non-increasing parasympathetic activity of the patient to detect a physiological abnormality of the patient.

In a biological signal measurement system of this invention, biological digital data is generated from a biological signal measured by a biological signal measurement apparatus, and first feature amount data extracted from the biological digital data and downsized biological digital data are transmitted to a portable terminal. In a biological information measurement apparatus of this invention, biological feature amount data is extracted from measured biological waveform data, and at least one of the biological waveform data and the biological feature amount data is transmitted to an external device. It is possible to provide a biological signal measurement system capable of continuously measuring a biological signal for a long time without disturbing daily life and provide a biological information measurement apparatus capable of implementing downsizing and long life of a battery.

An apparatus and method is provided that identifies the presence or absence of a P-wave within a set of ECG data. A computation processor identifies the R-wave and then analyses a section of the waveform within a predetermined time window preceding the detected R-wave peak. The waveform within the window is analysed to identify a candidate P-wave, and in response to identifying the candidate P-wave a first and second feature associated therewith is measured. A composite feature value is calculated from the first and second measures, and compared to a classification threshold value. In an exemplary embodiment, the first feature represents a height between a highest peak of the candidate P-wave and a trough of the Q-wave, and the second feature represents a time between the peak of the candidate P-wave and a peak of the R-wave.

Methods and apparatus for utilizing multiple sources of physiologic data to enhance measurement robustness and accuracy. In one embodiment, phonocardiography or “heart sounds” data is used in combination with one or more other techniques (for example, impedance cardiography or ICG waveforms, and/or electrocardiography or ECG waveforms) to provide more accurate and robust physiological and/or hemodynamic assessment of living subjects. In one variant, the aforementioned methods and apparatus are used to improve ICG fiducial point (e.g., B, C and X point) detection and identification accuracy. Moreover, the new ICG fiducial points that may be clinically important may be identified using the disclosed methods and apparatus. In a further aspect, the invention discloses methods and apparatus for utilization of ICG and/or ECG waveform information to improve the identification and characterization of heart sounds (such as e.g., S1, S2, S3, or S4 heart 20 sounds), murmurs, and other such artifacts or phenomena.

The method for determining a depression state of the present invention comprises the steps of: measuring a pulsation interval of a subject, and an acceleration or an angular velocity associated with a movement of the subject (that is hereinafter referred to as an “activity”); and determining the subject to be a depression state when at least one of the following conditions [A] and [B] is satisfied: [A] In an awaking time zone of the subject, at least one of the following formulas is calculated and satisfied; the pulsation interval×the activity<C1, HF×the activity<C2, (LF/HF)/the activity>C3; [B] In a sleeping time zone of the subject, at least one of the following formulas is calculated and satisfied: the pulsation interval/the activity<C4, HF/the activity<C5, (LF/HF)×the activity>C6.

One embodiment provides a system for determination and utilization of cardiac electrical asynchrony data. The system includes an analysis circuitry including a processor and a memory, the analysis circuitry configured to: obtain a plurality of sets of cardiac signals collected in at least two locations of a heart of a patient, the signals comprising at least one of surface electrocardiography signals and pseudo-surface ECG signals; detect one or more QRS complexes for each of the sets based on the cardiac signals for that set; obtain one or more cross-correlation signals, each of the cross-correlation signals being between at least two of the signal sets and being obtained using the detected QRS complexes from the signal sets; and calculate one or more asynchrony indices using one or more of the cross-correlation signals, each of the asynchrony indices being indicative of a level of asynchrony between the at least two locations.

A wearable physiological measuring device has a torso-worn module and a limb-worn module configured to communicate in a wireless way with each other. The torso-worn module is configured to be coupled with a torso of a user to obtain an R-peak from an electrocardiac signal. The limb-worn module is configured to be coupled with at least one limb of four limbs of the user to obtain a pulse wave peak from a plethysmograph signal. There are no physical connections (neither wire nor cable) between the torso-worn module and the limb-worn module. The wearable physiological measuring device is configured to use the R-peak time and the pulse wave peak time to generate a pulse transit time data.

In accordance with an example embodiment, a body-weight sensing scale includes cardio-based physiological sensing circuitry to detect heart characteristics of a user, and provide outputs indicative of the detected heart characteristics. A processor circuit is arranged with the cardio-based physiological sensing circuitry to process data to provide a noise-reduced cardiogram signal which characterizes functionality/health of the user's heart.

A wakefulness-maintenance apparatus applies a stimulus, which is not perceived to be unpleasant to most seated persons, to a seated person, and effectively maintaining the wakefulness of the seated person. After a control device provided to the wakefulness-maintenance apparatus stimulates the seated person using a first stimulus at a timing close to a human heartbeat, if an index showing the wakefulness of the seated person departs within a predetermined time from a standard indicating that the wakefulness has been maintained, the control device drives a stimulus device to stimulate the seated person using a second stimulus having a timing that differs from the first stimulus.