The present disclosure provides systems, methods and apparatuses for inducing a desired biological response in an organism through the use of one or more repetitive signals from one or a series of LED lights designed to emit the signal with multiple pulsed components. Each component of the signal contains a one or more light color spectrum or wavelength that is within 50 nm of the peak absorption of a photon receptor of the organism corresponding to the desired biological response. Each component has a repetitive ON duration with an OFF duration and an intensity where the relationship between the ON duration and OFF duration of the first component and the second component induces the desired response in the organism through the stimulation or excitation of a molecule associated with a photoreceptor and the reset of the molecule.

Methods of measuring biometric characteristics using a sensor positioned in an ear canal of a user are provided. The sensor is positioned on or connected to an ear tip, a contact hearing device, or one or more components thereof. One or more biometric signals may be sensed from the sensor. The biometric characteristic of the user is measured or derived from these sensed signals, and include but are not limited to the temperature of the user, acoustic signal(s) from the user, movement(s) of the user, a ballistocardiogram, an electrocardiogram, oxygen saturation, and blood pressure.

A headset comprise a frame and a vibration sensor coupled to the frame. The vibration sensor may be located in a nosepad of the frame, and configured to measure tissue vibrations of a user when the headset of worn by the user. A controller receives a signal corresponding to the measured vibration data from the vibration sensor, and analyzes the received signal to infer a sequence of states of the received signal, such as a sequence of respiratory states. The controller further determines a value of a health metric based upon the inferred sequence of states, e.g., a respiratory rate of the user, and performs an action using the determined value of the health metric.

A method for facilitating a Parkinson's Disease (“PD”) assessment of a patient includes capturing first video of a patient performing first test movements while holding the mobile device; capturing second video of the patient performing second test movements while maintaining the mobile device on their person; capturing third video of the patient performing third test movements including standing and walking; capturing one or more IMU readings using an IMU of the mobile device; processing the first video, the second video, and the third video according to (i) a hand landmark model to generate one or more hand biomarkers, (ii) a face landmark model to generate one or more face biomarkers, and (iii) a body landmark model to generate one or more body biomarkers; and determining an assessment score based on a standardized PD assessment by processing the biomarkers.

An acoustic sensor is configured to provide accurate and robust measurement of bodily sounds under a variety of conditions, such as in noisy environments or in situations in which stress, strain, or movement may be imparted onto a sensor with respect to a patient. Embodiments of the sensor provide a conformable electrical shielding, as well as improved acoustic and mechanical coupling between the sensor and the measurement site.

In some embodiments, the electronic device includes a speaker, a microphone, a memory, a digital signal processor (DSP), a driver, and a processor. The processor is configured to: obtain a first sound signal by combining a first signal, a second signal, and a first anti-phase signal; extract, from a second sound signal related to the first sound signal, a first DPOAE signal; obtain a third sound signal by combining a fourth signal, a fifth signal, and a second anti-phase signal; extract, from a fourth sound signal related to the third sound signal, a second DPOAE signal; obtain a user hearing profile based on the first and second DPOAE signals; and perform, based on the user hearing profile, at least one of a sound volume change and an equalization (EQ) change of a sound to be output.

An ambulatory medical device including a plurality of sensing electrodes and one or more processors operably coupled to the plurality of sensing electrodes is provided. Each sensing electrodes is configured to be coupled eternally to a patient and to detect one or more ECG signals. The one or more processors are configured to receive at least one electrode-specific digital signal for each of the plurality of sensing electrodes, determine a noise component for each of the electrode-specific digital signals, analyze each of the noise components for each of the plurality of sensing electrodes, generate electrode matching information for each sensing electrode of the plurality of sensing electrodes based upon analysis of each of the noise components, determine one or more sensing electrode pairs based upon the electrode matching information, and monitor each of the one or more sensing electrode pairs for ECG activity of the patient.

A computer implemented method for determining heart arrhythmias based on cardiac activity that includes under control of one or more processors of an implantable medical device (IMD) configured with specific executable instructions to obtain far field cardiac activity (CA) signals at electrodes located remote from the heart, and obtain acceleration signatures, at an accelerometer of the IMD, indicative of heart sounds generated during the cardiac beats. The IMD is also configured with specific executable instructions to declare a candidate arrhythmia based on a characteristic of at least one R-R interval from the cardiac beats, and evaluate the acceleration signatures for ventricular events (VEs) to re-assess a presence or absence of at least one R-wave from the cardiac beats and based thereon confirming or denying the candidate arrhythmia.

Audio signals, collected with equipment commonly available to individuals (e.g., a mobile device), can be used to analyze a patient’s breathing. An audio signal associated with the patient’s breathing for a time period can be detected with the mobile device and used to approximate the patient’s respiratory flow for the time period. For example, the audio signal can be analyzed by determining a representation of an audio frequency of the audio signal, splitting the audio frequency of the audio signal into distinct time steps, determining points comprising a weighted mean frequency at each time step, applying a frequency-to-flow rate linear transformation at each time step to approximate the respiratory flow versus time, and plotting a graphical representation of the respiratory flow versus time. The respiratory flow for the time period can be tagged with a factor related to the patient and saved in a database for future analysis.

In part, the invention relates to a probe suitable for use with image data collection system. The probe, in one embodiment, includes an optical transceiver, such as a beam director, and an acoustic transceiver such as an ultrasound transducer. The optical transceiver is in optical communication with an optical fiber in optical communication with a beam director configured to transmit light and receive scattered light from a sample such as a wall of a blood vessel. The acoustic transceiver includes an ultrasound device or subsystem such as a piezoelectric element configured to generate acoustic waves and receive reflected acoustic waves from the sample.