The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Scalable, configurable, universal, complete spectrum sensor data analyzing machines are provided that make selected determinations from a complete spectrum of cyber determinations regarding or utilizing sensor observations or sensor observation subjects. Analyzing machines utilize necessary resources and predetermined criteria in their making of selected cyber determinations. Analyzing machines utilize measure points in their accurate locating of selected analytically rich aspects, characteristics, or features of or from sensor observation-derived representations, analyzing machines assign appropriate informational representations to selected analytically rich aspects, characteristics, features, or measure points, which are stored in concise datasets where they can be utilized in real-time or thereafter by analyzing machines in their making of selected cyber determinations regarding or utilizing sensor observations or sensor observation subjects. Analyzing machines are configurable for being utilized, in whole or part, as touchless user interfaces, 100% accurate, constantly performed cyberspace identity tests, or universal health metrics monitors.

A system and method are provided, the system including a monitoring device to monitor sensory data of a patient and to provide a sensory data response thereto, and a control unit configurable to cool or warm circulated fluid through at least one contact pad for thermal exchange with the patient. The monitoring device can be configured to monitor a patient physiological response to a change in temperature of the patient (e.g. pursuant to induced hypothermia therapy), wherein a monitoring signal is provided by the monitoring device. A processor can be provided to process the monitoring signal and provide an output employable by medical personnel. The processor can be programmed to control automatically a temperature of the circulated fluid to cool or warm the patient in different treatment phases in accordance with a predetermined protocol, and process the sensory data signal to provide an output signal indicative of a sensory measurement.

Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.

Disclosed is a wearable device for modulating a sensory dysfunction or relieving from a physical symptom associated with a neurological condition or disease, such as Parkinson's disease or multiple sclerosis. The wearable device comprises at least one stimulating element configured to provide at least one mechanical stimulus to a user. The wearable device further comprises a dissipating portion configured to increase an effective area of a mechanical stimulus provided by the at least one stimulating element. The dissipating portion is coupled with the at least one stimulating element, for example by an adhesive. The wearable device is configured to provide a direct contact with (or placed against) a body part of a user, for example sternum.

Method and system for determining the localization of wearable sensors on the body of a user among a number of predefined attachment sites, comprising collecting kinematic data from at least two Inertial Measurement Units (IMUs) embedded in wearable devices attached to a user, transferring all the signals collected to a separate processing unit, comprising a memory and a comparator engine, and comparing signal characteristics to determine the sites of attachment to the user. Said system and method are useful for the monitoring of movement disorders such as Parkinson's disease.