An in-ear device for immersive reality applications is provided. The device includes an in-ear fixture configured to seal an ear canal of a user, a temperature sensor mounted on the in-ear fixture and configured to receive a temperature signal from the ear canal of the user, and a processor that is coupled to an augmented reality headset, the processor configured to identify a health condition of the user based on the temperature signal. A method for using the above device, a memory storing instructions and a processor that executes the instructions to perform the method are also provided.

An in-ear device for immersive reality applications is provided. The device includes a fixture configured to fit in an ear canal of a user, an emitter mounted on the in-ear fixture and configured to emit a first electromagnetic radiation onto the ear canal of the user, a detector configured to provide a signal indicative of a second electromagnetic radiation from the ear canal of the user, and a processor that is coupled to an augmented reality headset, the processor configured to identify a health condition of the user based on the signal, wherein the second electromagnetic radiation includes at least a portion of the first electromagnetic radiation reflected from a tissue in the ear canal of the user. A memory storing instructions to cause processors in a system to perform a method for use of the above in-ear device, the memory, the processor, the system and the method are also provided.

An in-ear device for immersive reality applications is provided. The device includes an in-ear fixture configured to fit in an ear canal of a user, a motion sensor mounted on the in-ear fixture and configured to provide a motion signal indicative of an inner body motion or a bulk body motion of the user, a speaker coupled to provide an audio signal to the user, and a processor that is coupled to an augmented reality headset, the processor configured to identify a health condition of the user based on the motion signal. A method for using the above device, a memory and a processor for storing and executing instructions to perform the method are also provided.

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

A device for providing reference information in laser speckle medical imaging of tissue of a subject can include a support that includes a marker for image recognition and a speckle target region that is nontransparent to light in a first illumination wavelength range and that generates a speckle pattern when illuminated with light in the first wavelength range. The support can be configured to be attachable to tissue of the subject.

One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.

This disclosure relates generally to methods and systems for real time unobtrusive monitoring of physiological signals of a subject confined to a bed. Output of single channel continuous wave (CW) radars are dependent upon distance of the subject from the radar. Dual channel IQ radars are more accurate but are costly and availability in the market is a constraint. The present disclosure provides a cheap and easily replicable pseudo IQ radar based system. The pseudo IQ radar comprises two CW radars placed at a calibrated distance from each other such that optimum points of one CW radar spatially overlaps null points of the other CW radar and phase imbalance is suppressed. Three such pseudo IQ radars are positioned in a predetermined configuration around the subject being monitored. A Supervised Complex Signal Demodulation (SCSD) method configured to suppress amplitude and DC imbalance is also provided for evaluating the physiological signals.

A biological information measurement device according to an embodiment of the present disclosure includes a control section that controls a first connection and disconnection and a second connection and disconnection, thereby inputting, to an AD conversion section, a plurality of first analog signals for changes in impedance or conductance between electrodes of individual electrode pairs and a second analog signal for a change in impedance or conductance between the electrodes of a plurality of the electrode pairs.

A method and a system automatically perform an image reconstruction of a biological object. The method includes acquiring at different time points t_i signal data for imaging the biological object and clustering a set of data in connection with the acquired signal data. The clustering includes constructing a matrix C, wherein an element C.sub.i,j of the matrix C is the value n_j of one of the data of the dataset acquired at the time point t_i, and then performing a similarity clustering based on the matrix C. At least one of the clusters is selected and determining for each of the time points t_i that are part of the cluster all acquired signal data that have been acquired within a predefined temporal threshold with respect to the considered time point t_i. The image reconstruction of the biological object is performed with the previously determined acquired signal data.

A hearing device includes a housing configured to be worn at an ear of a user; an output transducer configured to provide an audio signal to the user; a light source configured to provide light emitted from a light emission area at the housing, the light illuminating an illumination volume extending into tissue at the ear when the housing is worn at the ear; and a first photodetector configured to detect a first light intensity of light arriving from a first acceptance volume extending into tissue at the ear when the housing is worn at the ear such that a part of the emitted light scattered by the tissue into the first acceptance volume is contributing to the first light intensity, the first acceptance volume including a first reception area at the housing having a first distance from the light emission area.