System and method for sensing and evaluating physiological parameters and modeling an adaptable predictive analysis for symptoms management
First Claim
1. A method for predicting onset of a symptom in a patient comprising:
- monitoring patient state data over a period of time and storing the monitored data;
providing at least a portion of the patient state data to a modeling agent and developing a predictive model for receiving patient state data collected in real time and evaluating such data to provide an output predicting the onset of the symptom; and
providing a controller agent for receiving and responding to the output predicting the onset of the symptom.
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Abstract
A system senses various physiological parameters of a patient such as heart rate or temperature to evaluate the patient and predict when an episode of a chronic symptom may occur. The system further includes a modeling component which generates an individualized predictive model for a given patient wherein the patient'"'"'s previous episodes of the symptom are utilized to shape the model. The system tests the model to assure accuracy and can revise the model as necessary. Once the model is established, the system monitors patient parameters and can alert the patient to the expected onset of the symptom and/or automatically administer an appropriate drug or other therapy to control the expected symptom. The system is applicable to allergic reactions, anxiety attacks, attention deficit hyperactivity disorders, backaches, depression, dizziness, drowsiness, epileptic seizures, fatigue, heart malfunction, hunger pangs, joint or other pain, loss of motor control, migraines, motion sickness, muscle spasm, nausea, nicotine fits, numbness, shaking, shortness of breath, sleep or sleep disorders, tremors, unconsciousness, vision impairment or other chronic symptoms.
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Citations
21 Claims
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1. A method for predicting onset of a symptom in a patient comprising:
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monitoring patient state data over a period of time and storing the monitored data;
providing at least a portion of the patient state data to a modeling agent and developing a predictive model for receiving patient state data collected in real time and evaluating such data to provide an output predicting the onset of the symptom; and
providing a controller agent for receiving and responding to the output predicting the onset of the symptom. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for predicting onset of a symptom in a patient comprising:
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a data agent comprising at least one sensor for monitoring and storing historical patient state data;
a modeling agent for establishing and testing a predictive model based on such historical patient state data, by which patient state data collected in real time are evaluated to predict the onset of the symptom; and
a controller agent communicating with the modeling agent for responding to a predicted onset of the symptom. - View Dependent Claims (9, 10, 11)
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12. A system for predicting onset of a symptom in a patient comprising:
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a data agent that receives and stores for a period of time patient state inputs from two or more sensors, including physiological parameters of the patient, to create historical patient state data;
a modeling agent for establishing a predictive model based on historical patient state data, said predictive model producing in response to real time patient state data at least one predictive output signaling the onset of the symptom; and
a controller agent responsive to the at least one predictive output to initiate an intervention. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21)
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Specification