Methods and systems are provided for a light-emitting diode (LED) drive circuit of an optical probe. As an example, a method for an optical probe including an LED in an LED drive circuit comprises reducing power consumption of the LED drive circuit by adjusting a drive voltage of the LED drive circuit based on one or more LED drive circuit characteristics and one or more LED drive circuit operating parameters. In this way, the LED drive circuit may be efficiently operated.

Low-frequency Noise Cancellation Method for Optical Measurement Systems. The present disclosure provides a low frequency noise cancellation method for optical measurement system, An optical measurement system has a transmitter to drive an LED and a receiver connected to a photodiode. The LED driver will generate a pulse signal to drive the LED and act as the radiation source for the optical measurement. Consequently, the receiver will convert the received photo-diode current to a voltage signal. The signal will then be digitized by an ADC for further processing. A current DAC circuit IDAC is added at the front of the receiver and has the same timing control with the LED driver to cancel the DC portion of the received current.

A sensing device comprising: a light detection and ranging (LiDAR) sensor; and one or more optical spectroscopic sensors configured to extract biomarker information from one or more optical measurements of a user.

A patient monitor can noninvasively measure a physiological parameter using sensor data from a nose sensor configured to be secured to a nose of the patient. The nose sensor can include an emitter and a detector. The detector is configured to generate a signal when detecting light attenuated by the nose tissue of the patient. An output measurement of the physiological parameter can be determined based on the signals generated by the detector. The nose sensor can include an inner prong and an outer prong to assist the nose sensor in securing to a patient's nose. The detector can be coupled to an inner post of the inner prong and can be configured to secure to an interior or exterior portion of the patient's nose.

An optical measuring apparatus includes first and second light-emitting elements that emit light and a controller. Upon detection of the presence of a body by light emitted from the first light-emitting element, the controller performs control so that the second light-emitting element will emit light with an amount for measuring the body.

Implementations described herein disclose an artificial intelligence (AI) based method for generating an oxygen saturation level output signal using the trained neural network. In one implementation, the method includes receiving a photoplethysmographic (PPG) signal, the PPG signal including a red PPG signal and an infrared PPG signal, generating an input feature matrix by performing time-frequency transform of the PPG signal, training a neural network using the input feature matrix and an oxygen saturation level input signal, and generating an oxygen saturation level output signal using the trained neural network.

Provided is an ear wearing type sensor probe for measuring oxygen saturation (SpO2). The ear wearing type sensor probe is configured such that the oxygen saturation (SpO2) may be measured while worn in an outer ear canal with abundant blood vessels and close to the heart in the form of an earphone, so that the user's hand may move freely and motion artifact noise may be minimized to measure relatively accurate oxygen saturation (SpO2).

When evaluating the quality of photoplethysmography (PPG) signal (52) measured from a patient monitor (e.g., a finger sensor or the like), multiple features of the PPG signal are extracted and analyzed to facilitate assigning a score to the PPG signal or portions (e.g., heartbeats) thereof. Heartbeats in the PPG signal are segmented out using concurrently captured electrocardiograph (ECG) signal (50), and for each heartbeat, a plurality of extracted features are analyzed. If all extracted features satisfy one or more predetermined criteria for each feature, then the heartbeat waveform is compared to a predefined heartbeat template. If the waveform matches the template (e.g., within a predetermined match percentage or the like), then the heartbeat is classified as “clean.” If the heartbeat does not patch the template, or if one or more of the extracted features fails to satisfy its one or more pre-determined criteria, the heartbeat is classified as “noisy.”

Techniques for measuring metabolic tissue state and oxygenation in human or animal models, through optical techniques capable of simultaneous measurement at single region of interest. Simultaneously measuring CCO, oxygenated hemoglobin (HbO), and deoxygenated (HbR) hemoglobin is performed and metabolic activity of the tissue is determined. The methods employ a super-continuum light source and a probe to deliver light to the individual, and reflected light from the individual is analyzed to determine the metabolic function of the individual.

A system for monitoring a sleep of a user includes a plurality of patches for placement adjacent to a surface of a body of a user, a processor, and a data communication system. Each patch from the plurality of patches includes at least one sensor. The data communication system transmits positional data generated by the plurality of sensors, including orientation data and motion data, to the processor. The processing of the positional data includes detecting a change in position of the body of the user between a first position and a second position. Based on the first image and the second image, an animation of a movement of the body from the first position to the second position is generated.