| 摘要 |
Disclosed are methods, systems, and devices for generating sleep predicators to avoid preventable mental episodes from breaking through, thereby averting an irreversible brain damage to a patient, that may be caused by such future mental episodes. In one embodiment, the present invention is a method comprising: acquiring biomedical data from a patient by using a means of signal acquisition; forming a database of the biomedical records in which the database further comprises a sleep prediction algorithm, psychiatric records, and a statistical engine to compute the data and the psychiatric records using the algorithm; mapping the acquired data in reference to the sleep prediction algorithm; validating the sleep predictors; and providing an output of the sleep predicators to a patient or caretaker. The present invention can be used to treat mania, depression, bipolar disorder, schizophrenia, PTSD, anxiety, and other chronic mental health conditions. |
| 主权项 |
1. A method of creating a plurality of sleep predicators of a patient, said plurality of sleep predicators predicting a serious mood episode of said patient's chronic mental illness, the method comprising the steps of:
acquiring a physiological data and a behavioral data of said patient by using a means of signal acquisition, wherein said means of signal acquisition is selected from the group consisting of a transducer, a biomedical sensor, a surgically implanted sensor, a global positioning device, and a manually entered input; forming a database of psychiatric records by recording said data in said database, wherein said database is coupled with a statistical engine having a sleep prediction algorithm, said engine adapted to compute sleep predicators, wherein said engine statistically computes a plurality of psychiatric records and said data, and wherein said plurality of psychiatric records are acquired via at least one of public medical records and private medical records; mapping said acquired data in reference to said sleep prediction algorithm, in which the step of mapping comprises a statistical computation of said data, wherein said sleep prediction algorithm automatically adjusts based on an acquisition of a newer physiological data or a newer behavioral data, and wherein said sleep prediction algorithm achieves a statistical accuracy in sleep prediction by an iterative adjustment of said algorithm, wherein said iterative adjustment is based on said acquisition of said newer physiological or said newer behavioral data; validating said sleep predictors from said sleep prediction algorithm by evaluating said physiological data or said behavioral data in relation to said sleep predictors, thereby forecasting that a sleep pattern in said patient is about to change; and providing an output comprising said plurality of sleep predicators, wherein said output is displayed via a monitoring device, wherein said chronic mental illness is selected from the group consisting of mania, depression, bipolar disorder, schizophrenia, PTSD, and anxiety, and wherein said statistical computation comprises finding a first correlation between said acquired data and an illness symptom of said mental illness, wherein said illness symptom is statistically confirmed for accuracy by a first confirmation through said psychiatric records, thereby creating a therapeutic plan or a sleep remedy plan to prevent a further irreparable damage to said patient's mental state. |
