A computer-implemented method is for evaluating a condition of a person. The method includes determining at least one characteristic of a first facial expression of at least a mouth of the person, at a first time, based at least on a first image previously captured; determining at least one characteristic of a second facial expression of at least a mouth of a person, at a second time, based at least on a second image previously captured, the first facial expression and the second facial expression being of a same first type of facial expression; determining at least one difference between the at least one characteristic of the first facial expression determined and the at least one characteristic of the second facial expression determined; and generating an output signal indicating the condition of the person based at least on the at least one difference determined.

Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

Restless Leg Syndrome (RLS) or Periodic Limb Movement Disorder (PLMD) can be treated using high frequency (HF) electrostimulation. This can include selecting or receiving a subject presenting with RLS or PLMD. At least one electrostimulation electrode can be located at a location associated with at least one of, or at least one branch of, a sural nerve, a peroneal nerve, or a femoral nerve. HF electrostimulation can be delivered to the subject, which can include delivering subsensory, subthreshold, AC electrostimulation at a frequency that exceeds 500 Hz and is less than 15,000 Hz to the location to help reduce or alleviate the one or more symptoms associated with RLS or PLMD. A charge-balanced controlled-current HF electrostimulation waveform can be used.

Systems and methods of the present invention provide for an olfactometer for delivering one or more odors and one or more computing devices configured to: receive user input for an odor memory test and an odor discrimination test; calculate a score for the odor memory test and the odor discrimination test; calculate a first and second confidence interval threshold and a second confidence interval threshold for a first and second predicted odor memory score respectively, based on a relationship between, respectively, the odor memory test score and odor discrimination test score, and previously-entered performance data queried from the database; and responsive to the score for the odor memory test not being greater than the first confidence interval threshold and the score for the odor discrimination test not being greater than the second confidence interval threshold, generate a report identifying a user as high risk for a neurodegenerative disease.

A cognitive/multisensory stimulation system simulates real sports action/job task scenarios for assessing, profiling, practicing, improving or rehabilitating cognitive function performance of athletes or individuals. Cognitive function improvement can be provided by: establishing with a subject a sensory semantic language for relating a number of sensory signals to corresponding possible actions, the sensory semantic language being essentially new to the subject; instructing the athlete to perform an task involving sport/job skills; providing to the subject during the task sensory signals requiring rapid discernment by the subject of the semantic meaning of the sensory signal to correctly chose one possible action; and determining whether the subject correctly responds to the selected sensory signal during the task; obtaining a cognitive-sensor reaction-time map over a visual field of the subject; and repeating the steps over multiple repeated tasks using selectively randomized sensory signals selected to progressively restore the cognitive-sensor reaction-time map a normal profile.

A method for desynchronizing a pathological neural oscillations, includes identifying a first subpopulation of the neurons involved in the pathological neural oscillation that are in alignment with each other within a predetermined angular stimulation range, and a second subpopulation that are both (A) in alignment with each other within the predetermined angular stimulation range, and (B) out of alignment with the first neurons by at least the predetermined angular stimulation range, and applying electrical stimuli to the first and second subpopulations through scalp electrodes, the electrical stimuli being out of phase with the pathological neural oscillations for desynchronizing the pathological neural oscillations.

A system for tracking biomarkers in subjects. In one embodiment, the biomarker tracking system has a sensory array including an RGB-D camera or RGB camera, a memory, and an electronic processor. The microphone captures voice data, including but not limited to tremor detection data, speech volume and pronunciation data, speech strength data, changes in tonality, hesitance in voice, and changes in speed or verbiage. A stored baseline biomarker model may comprise a voice data profile which may be pre-stored in the memory of a server and include a plurality of benchmarks. This electronic processor is configured to use this pre-stored voice data and compare it to the voice data captured with the microphone. The electronic processor is further configured to determine a set of attributes for the voice data, and generates a speech data deviation model based, at least in part, on the comparison of the speech data to the stored baseline biomarker model.

An apparatus for treating neurological disorders comprising at least one electrode implantable in a patient's brain and a processing and stimulation device connected to the at least one electrode. The processing and stimulation device comprises at least one stimulation module adapted to generate a stimulation signal characterised by a plurality of parameters; at least one acquisition module adapted to acquire a signal characteristic of cerebral activity and determine its power in at least one frequency band; and at least one control module of at least one parameter of the stimulation signal as a function of the power of the signal characteristic of cerebral activity acquired, based on a transfer function having a saturating trend, wherein the transfer function is configured to set the at least one parameter of the stimulation signal differently dependent on a plurality of power ranges, by keeping the parameter within a predetermined stimulation range.

In an embodiment, a seizure monitor provides intelligent epilepsy seizure detection, monitoring, and alerting for epilepsy patients or people with seizures. In an embodiment, the seizure monitor may be a wearable, non-intrusive, passive monitoring device that does not require any insertion or ingestion into the human body. In an embodiment, the seizure monitor may include several output options for outputting the accelerometer/gyro or other motion sensor data and video data, so that the data may be immediately validated and/or remotely viewed. The device alerts are communicated to the outside care givers via wireless or wired medium. The device may also support recording of accelerometer or other motion sensor data and video data, which can be reviewed later for further analysis and/or diagnosis. The device and invention is also used and applicable for other body motion disorders or detection and diagnostics.

Methods and systems for monitoring compliance of a patient with a prescribed treatment regimen are described. Patient activity is detected unobtrusively with an activity sensor at the patient location, and activity data is transmitted to a monitoring location. Patient speech detected during use of a communication system such as a mobile telephone by the patient may also be used as an activity signal. Patient activity and/or speech is processed at the patient location or monitoring location to identify activity parameters or patterns that indicate whether the patient has complied with the prescribed treatment regimen. The activity sensor and other components at the patient location may be incorporated into, or associated with, a cell phone, computing system, game system, or vehicle system, for example. The system may provide a report to an interested party, for example a medical care provider or insurance company, regarding patient compliance with the prescribed treatment regimen.