Low power monitoring systems and method
First Claim
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1. A system comprising:
- light drive circuitry configured to drive an emitter of a pulse oximetry sensor at an average frequency and an average pulse width to cause the emitter to emit light into a tissue of the patient at the average frequency and the average pulse width;
a processor configured to;
receive a set of data samples generated by a detector of the pulse oximetry sensor based on the light that passed through the tissue of the patient, wherein the set of data samples are indicative of a physiological signal of the patient, and the average frequency and the average pulse width cause the set of data samples to comprise an average sampling frequency less than twice the Nyquist frequency of the physiological signal;
construct a waveform representative of the physiological signal based on the set of data samples; and
calculate a physiological parameter based on the waveform.
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Abstract
The present disclosure relates to systems and methods for collecting patient data via a monitoring system, with reduced power consumption. In one embodiment, the monitoring system is configured to emit pulses of light, and detect the light after passing through patient tissue. The light data is emitted sporadically, and a waveform is reconstructed from the sporadically sampled light data. Physiological parameters from the patient may be calculated from the reconstructed waveform. The sporadic sampling may reduce the power consumption by the monitoring system.
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Citations
32 Claims
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1. A system comprising:
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light drive circuitry configured to drive an emitter of a pulse oximetry sensor at an average frequency and an average pulse width to cause the emitter to emit light into a tissue of the patient at the average frequency and the average pulse width; a processor configured to; receive a set of data samples generated by a detector of the pulse oximetry sensor based on the light that passed through the tissue of the patient, wherein the set of data samples are indicative of a physiological signal of the patient, and the average frequency and the average pulse width cause the set of data samples to comprise an average sampling frequency less than twice the Nyquist frequency of the physiological signal; construct a waveform representative of the physiological signal based on the set of data samples; and calculate a physiological parameter based on the waveform. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method comprising:
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emitting light sporadically over a period of time into a tissue of a patient via an emitter of a pulse oximetry sensor at a first average frequency corresponding to an average sampling frequency; generating, via a detector of the pulse oximetry sensor, a set of sporadic data samples over the period of time and indicative of a physiological signal of the patient based on the light that passed through the tissue of the patient; receiving the set of sporadic data samples at a processor; using the processor to construct a waveform corresponding to the physiological signal based on the set of sporadic data samples; and calculating a physiological parameter based on the waveform. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A method comprising:
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emitting light pulses into a tissue of a patient via an emitter of a pulse oximetry sensor at an average frequency and an average pulse width over a period of time; generating, via a detector of the pulse oximetry sensor, a set of data samples indicative of a physiological signal of the patient based on the light pulses that passed through the tissue of the patient, wherein the average frequency and the average pulse width cause the detector to generate the set of data samples comprising an average sampling frequency less than twice the Nyquist frequency of the physiological signal over the period of time; wirelessly transmitting the set of data samples from the pulse oximetry sensor to a processor; selecting, using the processor, a function based on the set of data samples; iteratively calculating a residual and an approximation based on the selected function; generating a waveform, based on the approximation, that corresponds to the physiological signal; and calculating, using the processor, a physiological parameter based on the waveform. - View Dependent Claims (31, 32)
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Specification