Device and system that identifies cardiovascular insufficiency
First Claim
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1. A non-invasive device that identifies volume insufficiency in a patient, comprising:
- a. a transducer that records a pulse density signal from said patient during at least one respiratory cycle prior to administration of a cardiovascular volume load and during at least one respiratory cycle following administration of said cardiovascular volume load, wherein each respiratory cycle includes a plurality of cardiovascular subcycles;
b. a controller that controls said transducer to initiate said record of said pulse density signal, said controller comprising at least one of the following;
i. a manual or an automated switch;
ii. a plurality of software rules;
oriii. a combination thereof;
c. an activator that activates said cardiovascular volume load; and
d. a processor that is configured to filter said pulse density signal to capture a maximum and minimum data point in each cardiovascular subcycle and to calculate a percent deviation of said pulse density signal across all of said cycles, said percent deviation reflecting a volume status of said patient, said percent deviation being calculated according to the following formula;
percent deviationdata signal=(Pmeanmax−
Pmeanmin)/[(Pmeanmax+Pmeanmin)/2]×
100,wherein percent deviationdata signal is a variation in said pulse density signal recorded by said transducer prior to said cardiovascular volume load and following said cardiovascular volume load,wherein Pmeanmax is a maximum mean value of said pulse density signal recorded during all of said cycles,wherein Pmeanmin is a minimum mean value of said pulse density signal recorded during all of said cycles,wherein each said mean value of said pulse density signal is calculated for each said cardiovascular subcycle (c), as follows;
Pmeanc=Pmaxc+Pminc/2, wherein Pmaxc is a maximum pulse density signal in a given subcycle (c) and Pminc is a minimum pulse density signal in said given subcycle (c).
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Abstract
In an embodiment, the present invention provides a device that identifies cardiovascular dysfunction of a subject. The claimed device comprises a controller, a transducer, and a processor. The controller initiates collection of a plurality of data related to a physiological condition. The transducer collects data over a plurality of cycles and transfers the data to the processor, which reduces the received data signal into an output using a novel formula. In an example the data correlate with data that are directly related to cardiovascular dysfunction but that are of limited use.
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Citations
12 Claims
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1. A non-invasive device that identifies volume insufficiency in a patient, comprising:
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a. a transducer that records a pulse density signal from said patient during at least one respiratory cycle prior to administration of a cardiovascular volume load and during at least one respiratory cycle following administration of said cardiovascular volume load, wherein each respiratory cycle includes a plurality of cardiovascular subcycles; b. a controller that controls said transducer to initiate said record of said pulse density signal, said controller comprising at least one of the following; i. a manual or an automated switch; ii. a plurality of software rules;
oriii. a combination thereof; c. an activator that activates said cardiovascular volume load; and d. a processor that is configured to filter said pulse density signal to capture a maximum and minimum data point in each cardiovascular subcycle and to calculate a percent deviation of said pulse density signal across all of said cycles, said percent deviation reflecting a volume status of said patient, said percent deviation being calculated according to the following formula;
percent deviationdata signal=(Pmeanmax−
Pmeanmin)/[(Pmeanmax+Pmeanmin)/2]×
100,wherein percent deviationdata signal is a variation in said pulse density signal recorded by said transducer prior to said cardiovascular volume load and following said cardiovascular volume load, wherein Pmeanmax is a maximum mean value of said pulse density signal recorded during all of said cycles, wherein Pmeanmin is a minimum mean value of said pulse density signal recorded during all of said cycles, wherein each said mean value of said pulse density signal is calculated for each said cardiovascular subcycle (c), as follows; Pmeanc=Pmaxc+Pminc/2, wherein Pmaxc is a maximum pulse density signal in a given subcycle (c) and Pminc is a minimum pulse density signal in said given subcycle (c). - View Dependent Claims (2, 3, 4, 5, 6, 7, 9, 10)
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8. A device wherein said output is displayed on at least one of the following:
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a. a remote display; b. a handheld display; c. a display on said device; d. a display integrated with an interface;
ore. a combination thereof.
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11. A method of using a device to identify volume insufficiency in a patient comprising the steps of:
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a. initiating a recording of a pulse density signal by a transducer during at least one respiratory cycle prior to administration of a cardiovascular volume load and during at least one respiratory cycle following administration of said cardiovascular volume load; b. activating administration of said cardiovascular volume load; c. filtering said pulse density signal to capture a maximum and minimum data point in each cardiovascular subcycle and to calculate a percent deviation of said pulse density signal across all of said cycles, said percent deviation reflecting a volume status of said patient, said percent deviation being calculated according to the following formula;
percent deviationdata signal=(Pmeanmax−
Pmeanmin)/[(Pmeanmax+Pmeanmin)/2]×
100,wherein percent deviationdata signal is a variation in said pulse density signal recorded by said transducer prior to said cardiovascular volume load and following said cardiovascular volume load, wherein Pmeanmax is a maximum mean value of said pulse density signal recorded during all of said cycles, wherein Pmeanmin is a minimum mean value of said pulse density signal recorded during all of said cycles, wherein each said mean value of said pulse density signal is calculated for each said cardiovascular subcycle (c), as follows; Pmeanc=Pmaxc+Pminc/2, wherein Pmaxc is a maximum pulse density signal in a given subcycle (c) and Pminc is a minimum pulse density signal in said given subcycle (c), d. converting said pulse density signal to an output; and e. analyzing said output to identify a volume status of said patient. - View Dependent Claims (12)
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Specification