A method is provided. The method includes receiving input intracardiac signals from a monitoring and processing apparatus. Each of the input intracardiac signals includes artifacts. The method includes encoding, by an autoencoder, the input intracardiac signals utilizing an intracardiac dataset to produce a latent representation. The method also includes decoding, by an autoencoder, the latent representation to produce output intracardiac signals. The output intracardiac signals include the input intracardiac signals reconstructed without the signal artifacts.

A system comprising: at least one hardware processor; and a non-transitory computer-readable storage medium having stored thereon program instructions, the program instructions executable by the at least one hardware processor to: receive, as input, a video image stream of a bodily region of a subject, continuously extract from said video image stream at least some of: (i) facial parameters of said subject, (ii) skin-related features of said subject, and (iii) physiological parameters of said subject, and apply a first trained machine learning classifier selected from a group of trained machine learning classifiers, based, at least in part, on a detected combination of said facial parameters, skin-related features, and physiological parameters, to determine one or more states of stress in said subject.

One implementation of the present disclosure is an apparatus including a mirror frame configured to support a mirror substrate that provides a reflection of one or more users in proximity of the mirror cabinet, a sensor cavity coupled to the mirror frame and a controller configured to analyze data received from the temperature sensor.

A method of calculating at least one physiological parameter using a reticulocyte production index (RPI) value can include: measuring a plurality of first glucose levels over a first time period; measuring a first glycated hemoglobin (HbA1c) level corresponding to an end of the first time period; measuring the RPI value; calculating a red blood cell elimination constant (k.sub.age) based on the RPI value; and calculating the at least one physiological parameter selected from the group consisting of: a red blood cell glycation rate constant (k.sub.gly), a red blood cell generation rate constant (k.sub.gen), and an apparent glycation constant (K), based on (1) the plurality of first glucose levels, (2) the first HbA1c level, and (3) the k.sub.age. Further, one or more related analyses (e.g., personalized-target glucose range, personalized-target average glucose, cHbA1c, and the like) can be estimated and/or adjusted based on the at least one physiological parameter.

Devices and processing systems are configured to enable physiological event prediction based on blepharometric data analysis. For example, some embodiments provide methods and associated technology that enable retrospective analysis of blepharometric data driving subsequent hardware/software configuration, thereby to provide for personalized and/or generalized biomarker identification.

The present invention provides a stethoscope head switchable between a digital mode and a conventional mode. The stethoscope head comprises a housing, a chestpiece, a switching mechanism, a microphone, a speaker, and a first power switch. The microphone is configured for receiving acoustic signals from the chestpiece. The speaker is configured for playing the acoustic signals received by the microphone. The first power switch is configured to be engaged by the switching mechanism. The switching mechanism is configured for switching the stethoscope head between the digital mode and the conventional mode when engaged by the first power switch.

There are provided a biological signal measurement device capable of obtaining a variety of biological information and applicable also to medical fields and the like, a biological state inference device, and a biological state inference system using these. The biological signal measurement device 1 of the present invention includes three biological signal detection units, namely, a left upper part biological signal detection unit 11, a right upper part biological signal detection unit 12, and a lower part biological signal detection unit 13. The biological state inference device 1 is capable of obtaining a highly precise inference-use processed waveform from which electrical noise has been removed, by using an appropriate combination of time-series data obtained from the three biological signal detection units 11 to 13. Because the precision of an inference-use processed waveform corresponding to target biological information on breathing, heart sound, or the like increases, the precision of inferring a biological state also increases.

A system for detecting presence of coronavirus in a subject, the system including a first pad for placing a first hand, the pad including a contact to measure conductance of the subject's body, a conductance meter connected to the contact, a second pad for placing a second hand, a source of electromagnetic radiation for irradiating the second pad.

A system for detecting presence of coronavirus in a subject, the system including a chip with a plurality of wires disposed on or in the chip, a conductance meter arranged to measure conductance between the wires, and biological material associated with the coronavirus disposed on or in the chip.

Related apparatus and methods are also described.

The exhalation measurement device of certain implementations comprise a chamber, a measurement component, a piezoelectric pump, a first learning controller, and a second learning controller. The chamber may temporarily hold exhalation. The measurement component may measure a specific component in the exhalation. The piezoelectric pump may supply the measurement component with the exhalation held in the chamber. The first learning controller may perform operational setting on the piezoelectric pump before the piezoelectric pump supplies the exhalation in the chamber to the measurement component. The second learning controller may perform operational setting on the piezoelectric pump after the piezoelectric pump has started supplying the exhalation in the chamber to the measurement component, but before the measurement component performs its measurement.

The invention applies to the analysis of the chemical composition of materials and can be used primarily in diagnostic medical equipment for noninvasive determination of hemoglobin and oxygen concentrations contained in the blood.

The method proposes to alternately irradiate the biological tissue with optical radiation of the first, second, and third wavelength ranges, including 700 nm, 880 nm, and 960 nm, respectively, receive the reflected optical radiation, convert it to an electrical signal, determine the concentration of hemoglobin based on the sum of the electrical signals obtained by irradiating with optical radiation of the first and second ranges, which is reduced by a value determined by the electrical signal obtained upon irradiation with optical radiation of the third range, and determine the concentration of oxygen based on the difference between the electrical signals obtained by irradiating with optical radiation of the second and first ranges, which is reduced by a value determined by the electrical signal obtained by irradiating with optical radiation of the third range.

The invention provides a reduction in the error of determining the concentrations of hemoglobin and oxygen that stems from the presence of water in the biological tissue under study.