The present disclosure provides an oral data collection device comprising a mouthguard and at least two sensors, a medical analytics system comprising the device, and methods of using the device and system to provide a personalized treatment protocol, stage a health condition, measure a response to therapy, phenotype for selection to participate in drug trials, measure stability of an anatomical structure, or predict a rate of change of a health condition in a subject in need thereof.

The present invention is directed to multimodal communications means for transmitting signals representing physiological, performance, and contextual information associated with a subject. In an exemplary embodiment, the multimodal communications means includes multiple radio subsystems (or modes) that enable connection to an external monitoring device to be acquired in a wide range of settings where a single radio mode would be ineffective. Additionally, combining the multimodal communications means of the invention with real-time data-processing allows the communications functionality to be engaged only when data determined to be relevant to the user is identified.

Systems and methods for controlled sympathectomy procedures for neuromodulation are disclosed. A system for controlled micro ablation procedures is disclosed. A guidewire including one or more sensors or electrodes for accessing and recording physiologic information from one or more anatomical sites within the parenchyma of an organ as part of a physiologic monitoring session, a diagnostic test, or a neuromodulation procedure is disclosed. A guidewire including one or more sensors and/or a means for energy delivery, for performing a neuromodulation procedure within a small vessel within a body is disclosed.

Methods, systems, and devices are described herein for various embodiments of using a sample analysis system to analyze a sample of bodily fluid from a user to determine parameters associated with the user including states of hydration, dehydration, rehydration, electrolyte loss, wellness, recovery, and the like. In some embodiments, the methods disclosed can be implemented using a device worn by a user, and operatively coupled to a sample analysis system configured to collect a sample of bodily fluid, and measure and analyze the bodily fluid to determine a property of the bodily fluid and/or a physiological/wellness parameter (e.g., degree of hydration, electrolyte losses, perspiration rate, etc.) of the user.

Apparatus and methods are described for use with urine and feces of a subject that are emitted into a toilet bowl. One or more sensors are coupled to the toilet bowl and are configured to detect one or more urine-related parameters relating to the subject's urine and one or more feces-related parameters relating to the subject's feces, without requiring any action to be performed by any person subsequent to emission of the urine or feces into the toilet bowl. A computer processor determines that the subject is suffering from dehydration, at least partially based upon the one or more urine-related parameters, and classifies the dehydration as being a given type of dehydration, at least partially based upon the one or more feces-related parameters. Other applications are also described.

The invention features methods for detecting the hydration state or vascular volume of a subject using a device capable of nuclear magnetic resonance (NMR) measurement. The methods involve exposing a portion of a tissue of the subject in vivo to a magnetic field and RF pulse from the device to excite hydrogen nuclei of water within the tissue portion, and measuring a relaxation parameter of the hydrogen nuclei in the tissue portion, the relaxation parameter being a quantitative measure of the hydration state or vascular volume of the subject as a whole. The invention also features devices and computer-readable storage media for performing the methods of the invention.

A computer-implemented method or system for generating health data is provided. The method includes receiving a sensor data set measured by one or more sensors of a wearable device over an interval of time, the sensor data set indicating a time series profile of a body parameter of a user of the wearable device over the interval of time. The method also includes determining an activity type of the user matching the time series profile; and calculating a value associated with a health metric, wherein the value is calculated based on the activity type.

The present invention provides methods and systems that provide for reliable, convenient, and noninvasive assessment of hydration status. The methods and apparatuses can use the temporal sequence of the aortic value opening and closing along with the user's body position to derive parameters that determine the hydration status of the user. The user can use this information to make near-term lifestyle changes that can improve physical performance, health, and general wellbeing.

Aspects of the invention relates to systems and methods for detecting volume status, volume overload, dehydration, hemorrhage and real time assessment of resuscitation, as well as organ failure including but not limited cardiac, renal, and hepatic dysfunction, of a living subject using non-invasive vascular analysis (NIVA). In one embodiment, a non-invasive device, which includes at least one sensor, is used to acquire vascular signals from the living subject in real time. The vascular signals are sent to a controller, which processes the vascular signals to determine at least one hemodynamic parameter, such as the volume status of the living subject. In certain embodiments, the vascular signals are processed by a spectral fast Fourier transform (FFT) analysis to obtain the peripheral vascular signal frequency spectrum, and the volume status of the living subject may be determined by comparing amplitudes of the peaks of the peripheral vascular signal frequency spectrum.

A system, wearable device, and method include a light emitter configured to emit light at a first wavelength of between approximately 900 and 1000 nanometers and at a second wavelength of approximately 1350 nanometers, a first light detector spaced at a first distance from the light emitter, and a second light detector spaced at a second distance from the light emitter, the second distance approximately twice the first distance. At least one of hydration and glycogen of muscle tissue is determinable based on a relationship between backscatter light from the muscle tissue as detected by the second light detector and backscatter light from non-muscle tissue as detected by the first light detector.