Method and system for improving vascular systems in humans using biofeedback and network data communication
First Claim
1. A method of treating vascular disease in humans, the method comprising the computer-implemented steps of:
- (a) receiving, at a data center server that is communicatively coupled to a public data network, a first set of clinical vascular health data from a healthcare provider and representing a vascular health condition of a patient;
(b) applying one or more vascular disease analysis algorithms to the first set of vascular health data, to result in creating and storing an initial treatment plan for the patient;
(c) receiving a second set of vascular health data from a monitoring device that is associated with the patient and that is communicatively coupled to the data network, wherein the second set of vascular health data includes data from a Doppler vascular monitor;
(d) applying one or more vascular analysis algorithms to result in creating one or more supplementary treatment plans for the patient, wherein at least one of the treatment plans includes a biofeedback interaction component;
(e) providing the treatment plans to the patient over the data network;
(f) iteratively repeating steps (c), (d) and (e) one or more times as determined by the patient, wherein one or more iterations include receiving patient data created after and resulting from the patient performing a biofeedback interaction and modifying the treatment plan based upon the resulting patient data, wherein the biofeedback interaction comprises the patient performing an action identified in the treatment plan while simultaneously (g) self-monitoring using the monitoring device and (h) observing output from the monitoring device, and the monitoring device generating the patient data during the performing of the action.
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Abstract
Methods for treating vascular disease in humans and generating data representing treatment plans are disclosed. A first set of clinical vascular health data from a healthcare provider and representing a vascular health condition of a patient is received at a data center server that is communicatively coupled to a public data network. One or more vascular disease analysis algorithms are applied to the first set of vascular health data, to result in creating and storing an initial treatment plan for the patient. A second set of vascular health data is received from a monitoring device that is associated with the patient and that is communicatively coupled to the data network; the second set of data include Doppler monitor data obtained from the peripheral vascular system of the patient. One or more vascular analysis algorithms are applied to result in creating one or more supplementary treatment plans for the patient. At least one of the treatment plans includes a biofeedback interaction. The treatment plans are provided to the patient over the data network. The foregoing steps are iteratively repeated one or more times as determined by the physician and patient, resulting in improved vascular health.
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Citations
22 Claims
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1. A method of treating vascular disease in humans, the method comprising the computer-implemented steps of:
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(a) receiving, at a data center server that is communicatively coupled to a public data network, a first set of clinical vascular health data from a healthcare provider and representing a vascular health condition of a patient; (b) applying one or more vascular disease analysis algorithms to the first set of vascular health data, to result in creating and storing an initial treatment plan for the patient; (c) receiving a second set of vascular health data from a monitoring device that is associated with the patient and that is communicatively coupled to the data network, wherein the second set of vascular health data includes data from a Doppler vascular monitor; (d) applying one or more vascular analysis algorithms to result in creating one or more supplementary treatment plans for the patient, wherein at least one of the treatment plans includes a biofeedback interaction component; (e) providing the treatment plans to the patient over the data network; (f) iteratively repeating steps (c), (d) and (e) one or more times as determined by the patient, wherein one or more iterations include receiving patient data created after and resulting from the patient performing a biofeedback interaction and modifying the treatment plan based upon the resulting patient data, wherein the biofeedback interaction comprises the patient performing an action identified in the treatment plan while simultaneously (g) self-monitoring using the monitoring device and (h) observing output from the monitoring device, and the monitoring device generating the patient data during the performing of the action. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A method of generating digital data representing one or more plans for treating vascular disease in humans, the method comprising the computer-implemented steps of:
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(a) receiving, at a data center server that is communicatively coupled to a public data network, a first set of clinical vascular health data from a healthcare provider and representing a vascular health condition of a patient; (b) applying one or more vascular disease analysis algorithms to the first set of vascular health data, to result in creating and storing an initial treatment plan for the patient; (c) receiving a second set of vascular health data from a monitoring device that is associated with the patient and that is communicatively coupled to the data network, wherein the second set of vascular health data includes data from a Doppler vascular monitor; (d) applying one or more vascular analysis algorithms to result in creating one or more supplementary treatment plans for the patient, wherein at least one of the treatment plans includes a biofeedback interaction component; (e) providing the treatment plans to the patient over the data network; (f) iteratively repeating steps (c), (d) and (e) one or more times as determined by the patient, wherein one or more iterations of include receiving patient data created after and resulting from the patient performing a biofeedback interaction and modifying the treatment plan based upon the resulting patient data, wherein the biofeedback interaction comprises the patient performing an action identified in the treatment plan while simultaneously (g) self-monitoring using the monitoring device and (h) observing output from the monitoring device, and the monitoring device generating the patient data during the performing of the action.
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Specification