Methods and systems for determining dynamic hyperinflation
First Claim
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1. A computer-implemented method for assessing dynamic hyperinflation (DH) in a monitored subject, comprising:
- receiving respiratory data monitored with a physiological monitoring system during a current period of monitoring the subject, said monitoring system having at least one sensor, said respiratory, data including respiratory volumes during rib cage(RC) expansion and contraction;
determining from said received data at one or more times during said current monitoring period a first parameter (M % RC) with processor means, said first parameter comprising median % rib cage, said first parameter (M % RC) reflecting relative contributions of expansions and contractions of the rib cage (RC) to tidal volumes (VT) of the subject;
determining from said received data at one or more times during said current monitoring period a second parameter (MqdEELV) with said processor means, said second parameter (MqdEELV) comprising median cumulative changes in end-expiratory lung volume; and
assessing DH in the subject during said current monitoring period in dependence on said determined MqdEELV and M % RC parameters.
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Abstract
This invention provides methods and systems for non-invasively determining the presence (and amount) or absence of dynamic hyperinflation in a subject. The invention is based on a novel combination of respiratory parameters that can be measured in a way that is non-invasive and unobtrusive to the subject. Dynamic hyperinflation is often a significant factor in the quality of life of patients suffering from a variety of obstructive pulmonary diseases, and this invention permits simple, routine tracking and management of dynamic hyperinflation in affected patients.
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21 Claims
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1. A computer-implemented method for assessing dynamic hyperinflation (DH) in a monitored subject, comprising:
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receiving respiratory data monitored with a physiological monitoring system during a current period of monitoring the subject, said monitoring system having at least one sensor, said respiratory, data including respiratory volumes during rib cage(RC) expansion and contraction; determining from said received data at one or more times during said current monitoring period a first parameter (M % RC) with processor means, said first parameter comprising median % rib cage, said first parameter (M % RC) reflecting relative contributions of expansions and contractions of the rib cage (RC) to tidal volumes (VT) of the subject; determining from said received data at one or more times during said current monitoring period a second parameter (MqdEELV) with said processor means, said second parameter (MqdEELV) comprising median cumulative changes in end-expiratory lung volume; and assessing DH in the subject during said current monitoring period in dependence on said determined MqdEELV and M % RC parameters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 21)
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13. A computer for assessing dynamic hyperinflation (DH) in a monitored subject, comprising:
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a processor, and a computer-readable memory operatively coupled to said processor and configured with computer instructions that cause said processor to perform the steps of receiving comparative respiratory data monitored during a current period of monitoring, determining from said received data at one or more times during said monitoring period a first parameter (M % RC), said first parameter (M % RC) comprising median % rib cage, determining from said received data at one or more times during said monitoring period a second parameter (MqdEELV), said second parameter (MqdEELV) comprising median cumulative changes in end-expiratory lung volume, and assessing DH in the subject during said monitoring period in dependence on said determined MqdEELV and M % RC parameters. - View Dependent Claims (14)
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15. A portable monitoring system for assessing dynamic hyperinflation (DH) in a monitored subject, comprising:
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a wearable item comprising one or more sensors that provide data comprising sizes at one or more selected positions on the subject'"'"'s torso, said selected positions including one or more positions on the rib cage (RC) and one or more positions on the abdomen (AB), said selected positions being selected so that said torso sizes change with respiration; a portable data unit operably linked to said sensors, said portable data unit comprising a processing device and a computer memory operably linked to said processing device and configured with computer instructions that cause said processor to perform the steps of receiving sensor data monitored during a current period of monitoring, determining tidal volume (VT) in dependence on a difference between a first moment-by-moment lung volume parameter at end of inspiration and a second lung volume parameter at end of an immediately following expiration, determining from said received data at one or more times during said monitoring period a first parameter (M % RC), said first parameter (M % RC) comprising median % rib cage, wherein determination of said M % RC parameter comprises dividing respiratory volumes due to rib cage (RC) expansion and contraction by tidal volume (VT), determining from said received data at one or more times during said monitoring period a second parameter (MqdEELV), said second parameter (MqdEELV) comprising median cumulative changes in end-expiratory lung volume, wherein determination of said MqdEELV parameter comprises determining a breath-by-breath change in expiratory lung volume (EELV), determining a cumulative change in said EELV in dependence on a plurality of consecutive breath-by-breath changes in said EELV, and determining said MqdEELV parameter in dependence on absolute values of said plurality of cumulative changes in said EELV, and assessing DH in the subject during said monitoring period in dependence on said determined MqdEELV and M % RC parameters. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification