Methods and systems for monitoring health status of chronically ill people are provided. An example system includes a wearable device with sensors, with the wearable device being designed to be worn on a wrist of a patient. The wearable device is operable to continuously collect, via sensors, sensor data from a single place on body of the patient. The sensor data are processed to obtain electrocardiogram data and photoplethysmogram data. The electrocardiogram data and the photoplethysmogram data are analyzed to obtain medical parameters associated with a chronic disease. Based at least partially on the changes in the medical parameters over time, a progression of the at least one chronic disease can be determined. Based on the progression, messages regarding the current health condition are sent to the patient. The messages include advice to take medicine or contact a medical professional if a chronic condition is worsening.

The present invention is directed to devices and methods for rhythmic therapy. A system streams a patient specific audio file to a patient for therapy or rehabilitation while the patient is performing an exercise, where the audio comprises a musical track selected from a library of musical tracks, and simultaneously playing a second audio file with a motivational message, for example, and further where the tempo of the track, or the selection of the tracks are changed based on data received from sensors and determining if the patient is improving or regressing.

A method for quantifying a content of hydrophobic components contained in a liquid using a contact area diffusion factor (CADF) of a droplet of the liquid to a solid surface is provided. In addition, the obtained content of the hydrophobic components provides information about prediction for possibility of developing a metabolic disease or dementia, or information about the incidence or progression of a metabolic disease or dementia.

A system comprises a mouth piece to receive exhaled air; a breath chamber to receive exhaled air; a valve to direct exhaled air along a desired flow path, direct purge gas along a desired flow path, control the rate of flow of purge gas, control the rate of flow of exhaled air, block the flow of purge gas, and/or block the flow of exhaled air; a source of purge gas; a CO2 cartridge to remove CO2; a water cartridge to remove water; a breath cartridge to capture VOCs from exhaled air; a temperature control system to control the temperature of CO2 cartridge, a water cartridge, and/or a breath cartridge; a cryostat to contain and limit heat flow to a cryogenic liquid; a flow meter designed to measure the flow of exhaled air and/or purge gas; and a pressure transducer to measure a pressure, a flow rate, and/or a flow volume.

A system and method of non-invasive diagnosis of a condition in a subject may include obtaining, from a medical scanning device, a three-dimensional (3D) scan of the subject, said scan comprising a plurality of quantitative or semi-quantitative voxel values; segmenting the scan, to obtain a segmented region of interest (ROI) of the subject; performing a singular value decomposition (SVD) of the ROI, to determine at least one axis of the ROI in the SVD space; and analyzing the voxel values along the at least one axis, to diagnose a condition of the subject. Analysis of the voxel values may include calculating a quantitative function of voxel values along the at least one axis; comparing the calculated quantitative function to a reference quantitative function; and diagnosing or predicting a condition of the subject, based on the comparison.

Methods, systems, and apparatus for detecting rhythmic synchronization of motor neurons. The system includes one or more sensors for receiving a first signal that measures an electrical signal of one or more neurons, the first signal having a first plurality of specific bursts. The system includes a processor connected to the one or more sensors. The processor is configured to receive the first signal. The processor is configured to generate a second signal based on the first signal using a discrete wavelet transform, the second signal having a second plurality of specific bursts. The processor is configured to determine a time delay between a specific burst within the first plurality of specific bursts and a specific burst within the second plurality of specific bursts using one or more expert rules. The processor is configured to apply the time delay to the first signal.

A method and a system are described for performing an objective characterization of symptoms of the Parkinson's disease, through an analysis of the motion status of patients, wherein said motion status can be in one of the following phases: OFF phase, wherein Parkinson's symptoms, such as rigidity, tremor and bradykinesia, emerge; ON phase wherein the symptoms markedly improve; DIS phase wherein involuntary movements emerge, called dyskinesias; as detectors of the symptoms the following are used: voice analysis, face analysis, tremor analysis and movement analysis of said patient, an algorithm being provided adapted to use the detecting parameters to determine the motion status of the patient.

An example method includes, determining, based on data received from a plurality of sensors that are each attached to a respective finger of a plurality of fingers of a hand of a patient, data that represents movements of one or more fingers of the plurality of fingers; and determining, based on the data that represents the movements of the one or more fingers, one or more objective indications of motor control of the patient.

Systems and methods are described for diagnosing, assessing, and quantifying brain injuries, traumas, or concussions. The systems and methods described herein are non-invasive and based on the detection, measurement, and analysis of involuntary micromotions and/or fixational eye movements with respect to an individual's eyes, pupils, and head. Determinations as to brain injury are based, in part, on divergences between measurements associated with the subject and measurements contained in one or more datasets. The described systems and methods are accessible to subjects regardless of geographic location or access to medical professionals, and are not reliant on the cooperation of the subject such that the systems and methods described here are still effective when the subject is non-responsive.

A device for stimulating neurons that includes a stimulation unit that applies mechanically tactile and/or thermal stimuli to the body surface of a patient that stimulate neurons with a pathologically synchronous and oscillatory neural activity. The device includes a measuring unit that records measurement signals of neural activity of the stimulated neurons, and a controller that controls the stimulation unit and analyzes the measurement signals. The controller actuates the stimulation unit to scan at least one part of the body surface of the patient along a path and thereby periodically applies stimuli and also selects two regions or more regions on the patient's body surface along the path where the phase synchronization between the periodic application of the stimuli and the neural activity of the stimulated neurons have a local maximum using the measurement signals. The stimuli are then applied in a delayed manner in the two regions.