BACKGROUND

Degenerative and neurological diseases affect millions of people worldwide and, in many cases, represent a significant degradation in a patient's quality of life over time. To track the progression of such diseases, subjects are periodically evaluated by medical professionals using established rating scales. An example rating scale for Parkinson's disease is the Movement Disorder Society unified Parkinson's disease rating scale (MDS-UPDRS). As explained below, the current examination methods for subjects suffering from degenerative and neurological diseases have significant limitations.

Currently, examinations of subjects are performed by doctors during office visits. Subjects with Parkinson's disease typically visit a doctor's office once or twice a year. Thus, their condition is only monitored 1 to 2 hours per year. This leaves about 8,765 hours per year when their condition is not being monitored.

Established rating scales (such as the MDS-UPDRS) typically include questionnaires and a series of motor exercises. Currently, a doctor watches a subject performing each of the motor exercises and then determines a rating for the subject's movement based on a series of prescribed guidelines. Many of the prescribed guidelines are subjective and open to the interpretation of the doctor performing the examination. For example, a prescribed guideline may require the doctor to differentiate between a subject walking with minor gait impairment and with substantial gait impairment. In addition, many of the prescribed guidelines require the doctor to evaluate attributes that are difficult to discern with eyeball judgement. For example, a prescribed guideline may require the doctor to differentiate a hand tremor between 1 centimeter and 3 centimeters from a hand tremor between 3 centimeters and 5 centimeters.

Further, Parkinson's disease is a very individual disease. Every subject develops different motor and non-motors symptoms at different rates. The currently examination methods employ fixed rating scales that do not account for the symptom development of individual subjects.

SUMMARY

The disclosure provides a method of reporting health progression. In some embodiments, the method includes a creating a plurality of session records for a subject, generating a subject progression model based on the plurality of session records, and comparing the subject progression model to a health progression model. The method further includes determining, based on the comparing the subject progression model to the health progression model, at least one progression deviation and generating a notification including an indication of the at least one progression deviation. In some embodiments, the plurality of session records include both objective data and subjective data. In some embodiments, the objective data includes one or more of body motion data captured with an RGB-D camera or RGB camera and voice data captured with a microphone. In some embodiments, objective data may be captured at least in part using another type of camera or image capture device, for example a smart phone camera or a depth-sensitive image capture device. In some embodiments, objective data may be captured in part using cognitive games or other interactive activities of a patient. In some embodiments, the subjective data includes one or more of self-reported data from the subject and physician-reported data associated with the subject.

In some embodiments, the session records include data mined from one or more of the voice and the self-reported data. In some embodiments, the self-reported data is received from a portable electronic device. In some embodiments, the session records further comprise data corresponding to one or more of a location, a time stamp, and a medical professional associated with the creation of respective session records. In some embodiments, respective session records of the plurality of session records are weighed dissimilarly in generating the subject progression model.

In some embodiments, the disclosure provides a method of reporting health progression. In some embodiments, the method includes receiving health progression profiles of a plurality of subjects, selecting a cohort from among the plurality of subjects, and defining a cohort health progression model based on health progression profiles of the cohort. The progression profiles include one or more of physical health (motor data, non-motor data), social health, and emotional/mental health data. The cohort is selected based, at least in part, on a plurality of health characteristics of an individual. The method further includes determining, based on the cohort health progression model, that a parameter of a session record for the individual has deviated beyond a health progression threshold. The method further includes transmitting a notification indicating that the parameter has deviated beyond the health progression threshold and modifying the health progression model based, at least in part, on the session record.

According to some embodiments, the system may detect and/or track significant “events” in the patient data. For example, changes in sleep patterns or changes in physical, mental, or social parameters associated with a patient may be detected and tracked as noteworthy events that may be studied further. According to some embodiments, events may include deviations from a patient's baseline motor, non-motor, or emotional state. In some embodiments, events may include deviations from a prescribed care path, such as when a system detects that a patient is not getting prescribed physical activity or following a prescribed medication schedule.

According to some embodiments, significant events may be detected by analysis of other parameters. For example, a system may detect correlations between parameters. As one example, it may be considered medically significant that a patient experiences more of a specific kind of motor difficulty—or motor symptoms in general—when the patient has not slept well, as determined by self-reporting and/or sleep monitoring devices. As another example, the system may find a correlation between a patient feeling more depressed during times when the patient's social contacts are deteriorating. In some embodiments, certain such events and correlations may be specified for monitoring by a physician or patient. In some embodiments, a system may unilaterally detect events and/or correlations and choose which ones to track or report, for example by applying machine learning or other computing techniques to the gathered data.

In some embodiments, the method further includes anonymizing the subject progression model and transmitting the anonymized subject progression model to an external data source. In some embodiments, the at least one progression deviation of the subject progression model includes one or more of a speed, an acceleration, an amplitude, a number of iterations, a max height, a number of hesitations, a number of halts, a rhythm, a duration, and a stride length. In some embodiments, the health progression threshold is experimentally derived. In some embodiments, the determining includes determining that the parameter of the session record has deviated beyond the health progression threshold for a threshold period of time. In some embodiments, the modifying the health progression model includes modifying the health progression threshold.

In some embodiments, the disclosure provides a method of reporting health progression. In some embodiments, the method includes receiving health progression profiles of a plurality of subjects, receiving a session record for an individual, and providing, to a user, a set of selectable parameters. Each health progression profile includes motor, non-motor, and emotional parameters. In some embodiments, the session record includes motor, non-motor, and emotional parameters. In some embodiments, the selectable parameters include motor, non-motor, and emotional parameters. The method further includes receiving, from the user, a user selection from the set of selectable parameters. The method further includes generating an individual health progression model based on the health progression profiles and the user selection. The method further includes providing, to the user, a comparison of the first session record to the individual health progression model and providing a notification to the user in the case that a parameter of the session record deviates beyond a progression threshold.

In some embodiments, the set of selectable parameters is provided to a user at a portable electronic device. In some embodiments, the session record includes data corresponding to one or more of a location, a time stamp, and a medical professional associated with the creation of the session record. In some embodiments, the notification includes one or more of the parameter, the session record, and the progression threshold.

In some embodiments, the disclosure provides a method of reporting health progression. In some embodiments, the method includes receiving health progression profiles of a plurality of subjects, receiving a session record for an individual, and selecting a cohort from among the plurality of subjects based on the session record. In some embodiments, each progression profile includes health progression parameters having respective temporal components. In some embodiments, the session record includes health progression parameters. The method further includes generating a health progression model based on health progression profiles of the cohort and detecting a deviation of a health progression parameter of the session record beyond a corresponding health progression threshold of the health progression model. The method further includes identifying one or more corresponding health progression profiles which include the deviation, receiving an improvement strategy of the one or more corresponding progression profiles, and providing the improvement strategy to a user. In some embodiments, the user is a medical professional associated with the individual. In some embodiments, the method further includes providing the improvement strategy with a request for authorization to the user, such as the medical professional.

Other aspects and embodiments will become apparent by consideration of the detailed description and accompanying drawings.

