Abstract:
A method for measuring blood pressure of a patient continuously and non-invasively comprises measuring a first pressure signal being proportional to arterial blood pressure of the patient at a first location by a first pressure sensor (P1). In addition ambient pressure is measured by a third ambient pressure sensor (P3). Furthermore the method comprises subtracting the signal derived from the third ambient pressure sensor from the signal derived from the first pressure sensor to compensate for alterations induced by alterations in measurement point altitude and atmospheric pressure changes thereby providing a signal representing relative systemic arterial blood pressure of the patient
Abstract:
A method for measuring a physiological parameter, such as a biological rhythm, on the basis of at least two sensors, and to an associated measurement device. The method includes the following steps of: measuring the physiological parameter for each sensor, allowing the generation of a series of measurements of at least two values; evaluating the level of consistency of each value from the measurement series; selecting a value from the set of values in the series as a function of the corresponding level of consistency and a so-called reference value, in order to determine a new reference value; and storing the new reference value.
Abstract:
Some embodiments provide a wearable fitness monitoring device including a motion sensor and a photoplethysmographic (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable fitness monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable fitness monitoring device in a low power state when the device determines that the device is not worn by a user. Some embodiments provide methods for operating the wearable fitness monitoring device in a normal power state when the device determines that the device is worn by a user. Some embodiments provide methods for using response characteristics of the user's skin to adjust a gain and/or light emission intensity of the heart rate monitor.
Abstract:
A method 100 and apparatus for determining SpO2, of a subject from an optical measurement is disclosed herein. In a described embodiment, the method 100 includes obtaining a PPG(red) signal and a PPG(IR) signal at steps 102 and 104, and pairing the PPG(red) and PPG(IR) signals at step 106 in which an amplitude of each cardiac rhythm cycle of the first signal is aligned to an amplitude of a respective cardiac rhythm cycle of the second signal to form a plurality of paired windows. At step 108, the method further includes, for each paired window, calculating values of a ratio R from the paired first and second signals and based on the calculated R values, binning the calculated R values into predetermined frequency bins at step 110. At steps 112 and 1 14, at least one of the frequency bins is selected to derive a revised ratio, Rrev and at step 1 16, Sp02 is derived from the revised ratio Rrev. A zoning schema for deriving SpO2 is also disclosed.
Abstract:
An example of a system comprises a cardiac pulse generator configured to generate cardiac paces to pace the heart, a sensor configured to sense a physiological signal for use in detecting pace-induced phrenic nerve stimulation (PS), a storage, and a phrenic nerve stimulation detector. The storage is configured for use to store patient-specific PS features for PS beats with a desirably large signal-to-noise ratio. The phrenic nerve stimulation detector may be configured to detect PS features for the patient by analyzing a PS beat with a desirably large signal-to-noise ratio induced using a pacing pulse with a large energy output and store patient-specific PS features in the storage, and use the patient-specific PS features stored in the memory to detect PS beats when the heart is paced heart using cardiac pacing pulses with a smaller energy output.
Abstract:
The invention relates to a method for estimating the brain activity, from physiological signals, in particular magnetoencephalographic or electroencephalographic surfaces, which has, in certain predetermined areas of the cortex, considered as areas of interest, an improved accuracy with respect to other areas of the gridding. It enables a more accurate estimation to be obtained in the areas of the brain intended to be subjected to a particular treatment, for example to accommodate cortical electrodes.
Abstract:
A PPG system includes a processor configured to receive a PPG signal from a PPG sensor, the PPG signal having a plurality of pulses each representing a heartbeat of a patient. The processor is also configured to determine an amplitude variance of the plurality of pulses over a time period, determine a pulse period variance of the PPG signal over the time period, determine a cardiac stability based on a ratio of the amplitude variance and the pulse period variance, and provide an indication of the cardiac stability via a display. The amplitude variance includes an average of squared differences of an amplitude of a peak of each pulse of the plurality of pulses from a mean amplitude of the plurality of pulses over the time period, and the mean amplitude includes an average of respective midpoints of each of the plurality of pulses over the time period.
Abstract:
Apparatuses and methods (including methods of using such apparatuses) for de-noising electrocardiograms (ECGs) by manually or automatically adjusting the amount of filtering of an ECG signal. For example, real-time ECG signals may be filtered by combining in a weighted fashion an unfiltered portion of an ECG (or a filtered portion of the same ECG) with the same portion of the ECG that has been filtered. The weighting may be adjusted manually and/or automatically. Also described herein are methods for real-time filtering of ECG signals using a combination of filtering techniques including filtering to correct baseline wander, Savitzky-Golay denoising, and threshold smoothing. Multiple filtering techniques may be combined in a weighed manner to provide signal de-noising.
Abstract:
Some embodiments provide a wearable fitness monitoring device including a motion sensor and a photoplethysmographic (PPG) sensor. The PPG sensor includes (i) a periodic light source, (ii) a photo detector, and (iii) circuitry determining a user's heart rate from an output of the photo detector. Some embodiments provide methods for operating a heart rate monitor of a wearable fitness monitoring device to measure one or more characteristics of a heartbeat waveform. Some embodiments provide methods for operating the wearable fitness monitoring device in a low power state when the device determines that the device is not worn by a user. Some embodiments provide methods for operating the wearable fitness monitoring device in a normal power state when the device determines that the device is worn by a user. Some embodiments provide methods for using response characteristics of the user's skin to adjust a gain and/or light emission intensity of the heart rate monitor.
Abstract:
A muscle assessment method utilizing a computing system, surface electromyometry (sEMG) sensors, and other sensors to gather data for one or more subjects engaged in an activity through operably coupling the one or more sensors to the computing system, and directing a computing system to select one or more muscle assessment protocols related to a number of different metrics. For a user subject engaged in a physical activity, assessing muscle condition, the muscle activity, and statistically related averages provide information to the user and about muscle and whole body fitness.