The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

The present invention relates to a myocardial spectrometer probe, comprising: at least two separate light guides (120A, 120B), insertable in a tissue, wherein a first light guide (120A, 120B) is arranged to deliver light and a second light guide (120A, 120B) is arranged to collect light, and wherein the first light guide (120A, 120B) and the second light guide (120A, 120B) are arranged distinct to each other.

A method for evaluating a biological effect of far infrared (FIR) includes the following. An FIR radiation source is provided to emit FIR. An FIR biological effect index (FBI) of the FIR is measured. A ratio of a blood glucose level change of an experimental group irradiated with the FIR to a blood glucose level change of a control group not irradiated with FIR is defined as the FBI. When the FBI is greater than 1, it is evaluated that the FIR causes a biological effect on an organism.

The present invention provides a photodiode for a wearable sensor system, the photodiode having a rectangular active area sensitive to wavelengths within the spectral range of 1200 nm to 2400 nm. The present invention also provides a wearable sensor system comprising the photodiode.

Systems and methods are provided for non-invasive measurement of endogenous S-nitrosothiols and related measurements thereof. One or more sensors non-invasively measures a set of one or more biometric parameters within a region of interest of a subject to provide a time series of measurements for each of the set of biometric parameters. A medium stores machine-readable instructions that are executable by an associated processor to perform processing comprising receiving the time series of measurements of the biometric parameter, generating, using a predictive model, a value representing an endogenous S-nitrosothiol content of tissue within the region of interest from the time series of measurements of the biometric parameter, and providing, by a user interface, the value representing the endogenous S-nitrosothiol content of tissue within the region of interest to a user.

Systems and methods are provided for non-invasive measurement of endogenous S-nitrosothiols and related measurements thereof. One or more sensors non-invasively measures a set of one or more biometric parameters within a region of interest of a subject to provide a time series of measurements for each of the set of biometric parameters. A medium stores machine-readable instructions that are executable by an associated processor to perform processing comprising receiving the time series of measurements of the biometric parameter, generating, using a predictive model, a value representing an endogenous S-nitrosothiol content of tissue within the region of interest from the time series of measurements of the biometric parameter, and providing, by a user interface, the value representing the endogenous S-nitrosothiol content of tissue within the region of interest to a user.

A physiological monitoring device is provided and includes a physiological sensing device, a first PPG sensor, a vital signs detector, and a PPG controller. The physiological sensing device senses at least one physiological feature of a subject to generate at least one sensing signal. The first PPG sensor senses pulses of a blood vessel of the subject to generate a first PPG signal when the first PPG sensor is activated. The vital signs detector obtains vital signs data according to the at least one sensing signal. The PPG controller detects whether a specific event is happening to the subject according to the vital signs data. In response to detecting that the specific event is happening to the subject, the PPG controller activates the first PPG sensor. The physiological monitoring apparatus obtains a blood oxygen level of the subject according to the first PPG signal.

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise a processor, memory accessible by the processor, and program instructions and data stored in the memory, a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, program instructions and data to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted to wirelessly communicate with a server computer system, and program instructions and data to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.