Noninvasive blood pressure monitor having automatic high motion tolerance
First Claim
1. A method for monitoring blood pressure of a patient under high motion conditions, comprising:
- securing a sensor assembly to a monitoring site on an anatomical structure of the patient from which noninvasive monitoring of blood pressure may be performed, the sensor assembly having a sensor with a main pressure channel and a reference pressure channel;
applying the sensor to the monitoring site with a varying holddown force over a plurality of sequential cycles comprising an initial sequence of a predetermined number of cycles and a subsequent sequence;
attempting to maintain low motion conditions over the initial sequence of the applying step;
acquiring main waveform data from the main pressure channel and reference waveform data from the reference pressure channel during the applying step;
monitoring at least one of the main waveform data and the reference waveform data to detect a fault in the initial sequence of the applying step;
monitoring a user-activated restart control to detect a restart signal during the initial sequence of the applying step; and
when no fault is detected in the waveform data monitoring step, and when no restart signal is detected in the reset control monitoring step, calculating blood pressure from the main and reference waveform data acquired in the subsequent sequence of the applying step and from at least one cycle of the initial sequence after filtration thereof with respective high pass filters, an adaptive noise canceller, and an adaptive linear predictor.
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Accused Products
Abstract
The noninvasive measurement of a patient'"'"'s blood pressure is achieved automatically in high motion situations by using a dual signal channel pressure sensor in a method and system that acquires pressure waveform data while the degree of compression of an artery is being varied. Two pressure measurement channels are used, one being a main channel for monitoring pressure in the pressure transmission path, and the other being a reference channel for monitoring pressure in a wall through which a holddown force is applied. A caregiver applies the NIBP sensor to the patient. Immediately before the patient is about to engage in high motion activities or be placed in a high motion environment, the caregiver turns ON the automatic HMT function, and proceeds with his or her duties while observing the patient to ensure that the patient is quiet until the NIBP monitor acquires a certain number of waveforms without resetting. Once this has occurred, the caregiver may permit the high motion activity to begin. The automatic high motion tolerance algorithm reduces the adverse effects of high motion artifacts from the main channel using the main channel and reference channel signals.
30 Citations
4 Claims
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1. A method for monitoring blood pressure of a patient under high motion conditions, comprising:
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securing a sensor assembly to a monitoring site on an anatomical structure of the patient from which noninvasive monitoring of blood pressure may be performed, the sensor assembly having a sensor with a main pressure channel and a reference pressure channel; applying the sensor to the monitoring site with a varying holddown force over a plurality of sequential cycles comprising an initial sequence of a predetermined number of cycles and a subsequent sequence; attempting to maintain low motion conditions over the initial sequence of the applying step; acquiring main waveform data from the main pressure channel and reference waveform data from the reference pressure channel during the applying step; monitoring at least one of the main waveform data and the reference waveform data to detect a fault in the initial sequence of the applying step; monitoring a user-activated restart control to detect a restart signal during the initial sequence of the applying step; and when no fault is detected in the waveform data monitoring step, and when no restart signal is detected in the reset control monitoring step, calculating blood pressure from the main and reference waveform data acquired in the subsequent sequence of the applying step and from at least one cycle of the initial sequence after filtration thereof with respective high pass filters, an adaptive noise canceller, and an adaptive linear predictor. - View Dependent Claims (2, 3, 4)
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Specification