Systems and methods for non-invasive physiological monitoring of non-human animals
First Claim
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1. A method of identifying emesis in an animal comprising the steps of:
- receiving monitoring data from the animal, said monitoring data comprising signals reflecting abdominal (AB) dimensions and signals reflecting rib cage (RC) dimensions, said AB and RC signals varying with respiratory motions;
determining a characteristic pattern in said AB and RC signals using a processor, said characteristic pattern comprisingan increase in an average AB dimension from a baseline AB dimension and a decrease in an average RC dimension from a baseline RC dimension, the increase and decrease occurring abruptly within a few breaths and persisting for several breaths,a decrease in said average AB dimension towards said baseline AB dimension and an increase in said average RC dimension towards said baseline RC dimension, said RC dimension increase and said AB dimension decrease occurring within five (5) breaths, andone or more synchronous breath induced changes in AB and RC dimensions, the amplitude RC dimension change being greater than a baseline RC dimension; and
identifying a period of emesis when said characteristic pattern is determined.
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Abstract
This invention provides monitoring garments for non-invasively monitoring physiological parameters in un-restrained and/or restrained animals, such as monkeys, rabbits, dogs, horses, and the like. The invention also includes methods and systems for collecting and processing monitoring data and methods for recognizing apneas and other respiratory events, periods of restfulness and wakefulness, stereotypical behavior and other indicators of dysphoric states, periods of emesis, and occurrence of barking and coughing.
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Citations
7 Claims
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1. A method of identifying emesis in an animal comprising the steps of:
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receiving monitoring data from the animal, said monitoring data comprising signals reflecting abdominal (AB) dimensions and signals reflecting rib cage (RC) dimensions, said AB and RC signals varying with respiratory motions; determining a characteristic pattern in said AB and RC signals using a processor, said characteristic pattern comprising an increase in an average AB dimension from a baseline AB dimension and a decrease in an average RC dimension from a baseline RC dimension, the increase and decrease occurring abruptly within a few breaths and persisting for several breaths, a decrease in said average AB dimension towards said baseline AB dimension and an increase in said average RC dimension towards said baseline RC dimension, said RC dimension increase and said AB dimension decrease occurring within five (5) breaths, and one or more synchronous breath induced changes in AB and RC dimensions, the amplitude RC dimension change being greater than a baseline RC dimension; and identifying a period of emesis when said characteristic pattern is determined. - View Dependent Claims (2)
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3. A method of identifying cough in an animal comprising the steps of:
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receiving monitoring data from the animal, said monitoring data comprising signals reflecting abdominal (AB) dimensions and signals reflecting rib cage (RC) dimensions, said AB and RC signals varying with respiratory motions, and signals reflecting vocalizations; determining a characteristic pattern in said AB, RC and vocalization signals using a processor, said characteristic pattern comprising an inspiratory period with a steady inspiration rate and lasting for a first period of time, an expiratory period with a steady expiratory rate and lasting for a second period of time, wherein said inspiratory first period of time is greater than said expiratory second period of time and said inspiratory rate is lower than said expiratory rate, determining a ratio of said inspiratory time to said expiratory time; a vocalization occurring during expiration; and identifying a cough event when said characteristic pattern is determined. - View Dependent Claims (4)
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5. A method of identifying bark in a barking animal comprising the steps of:
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receiving monitoring data from the animal, said monitoring data comprising signals reflecting abdominal (AB) dimensions and signals reflecting rib cage (RC) dimensions, said AB and RC signals varying with respiratory motions, and signals reflecting vocalizations; determining a characteristic pattern in said AB, RC and vocalization signals using a processor, said characteristic pattern comprising an inspiratory period with a steady inspiration rate and lasting for a first period of time, an expiratory period lasting for a second period of time, wherein said expiratory second period of time is greater than said inspiratory first period of time, determining a ratio of said inspiratory time to said expiratory time; a vocalization occurring throughout expiration; and identifying a barking event when said characteristic pattern is determined. - View Dependent Claims (6, 7)
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Specification