The conversion adapter is provided that includes a radio communication unit that receives biological information based on the digital data transmitted from an external biological sensor by using radio communication; an information processing unit that performs data processing of the biological information based on the digital data; a converter that converts the biological information based on the digital data processed by the information processing unit to biological information based on analog data; and a connection unit that is connectable through wire to an external biological information monitor and that outputs the biological information based on the analog data converted by the converter.

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.

A device is disclosed comprising: an optical physiological sensor and a further measurement system. The optical physiological sensor comprises a light emitter and a light detector configured to detect the light from the light emitter after it has been attenuated by tissue comprising blood vessels. The optical physiological sensor is configured to determine the value of a physiological parameter from the detected light. The further measurement system is configured to determine when the value of the physiological parameter is likely to be reliable. The further measurement system comprises at least one measurement subsystem, each measurement subsystem employing a different measurement modality that is also different to a measurement modality used to determine the value of the physiological parameter.

The melanin bias reducing pulse oximeter system reduces melanin interference when obtaining pulse oximetry readings for individuals with higher skin concentrations of melanin. The system incorporates optics reducing the melanin bias through hardware and software designed using extensive testing, via a proprietary testing method. The physical pulse oximeter includes different mechanical designs, for example, finger clip, ring, and bracelet design for enhanced usage, accuracy, and comfort for those unable to wear traditional pulse oximeters. The user interface includes built-in UI, external and portable UI, bedside monitoring, and connection to patient monitoring systems, via wired and/or wireless means. Further systems include those with both melanin bias reducing pulse oximetry and heart telemetry in the same device, via either a wired or wireless compact waterproof system to be used for continuous monitoring including blood oxygen saturation as a 5.sup.th vital sign. Systems also include fall detection, bed alarm, and location services.

Systems and methods are disclosed for non-invasively measuring blood glucose levels in a biological sample based on spectral data. This includes utilizing at least one light source configured to strike a target area of a sample, utilizing at least one light filter positioned to receive light transmitted through the target area of the sample from the at least one light source, utilizing at least one light detector positioned to receive light from the at least one light source and filtered by the at least one light filter, and to generate an output signal, having a time dependent current, which is indicative of the power of light detected, receiving the output signal from the at least one light detector with a processor, calculating the attenuance attributable to blood with a ratio factor based on the received output signal, and determining a blood glucose level based on the calculated attenuance.

Systems and methods for detecting data acquisition conditions using color-based penalties can include a computing device obtaining a sequence of images acquired by a photodetector. The computing device can determine, for each pixel position of a plurality of pixel positions associated with the sequence of images, a respective penalty score indicative of a similarity between a color value of a pixel of the pixel position and a desired color value. The desired color value can represent a color property of light emitted from body parts of users when placed opposite to the photodetector. The computing device can determine, using penalty scores of the plurality of pixel positions, a relative position of a body part of a user with respect to a desired position.

The present invention relates to an electrocardiogram measurement apparatus (measurement sensor) which can be used in combination with a smartphone by an individual. The electrocardiogram measurement apparatus according to the present invention comprises: two amplifiers for receiving electrocardiogram signals from a first electrode and a second electrode; one electrode driving unit; a third electrode for receiving an output of the electrode driving unit; an A/D converter connected to an output terminal of each of the two amplifiers and converting analog signals into digital signals; a microcontroller for receiving the digital signals from the A/D converter; and a communication means for transmitting the digital signal, wherein: the microcontroller is supplied with power from a battery; the microcontroller controls the A/D converter and the communication means; and each of the two amplifiers amplifies one electrocardiogram signal so as to simultaneously measure two electrocardiogram signals.

Systems and methods for blood pressure estimation using smart offset calibration can include a computing device associating a calibration photoplethysmographic (PPG) signal generated from a first sequence of image frames obtained from a photodetector of the computing device with one or more measurement values generated by a blood pressure measurement device different from the computing device. The computing device can obtain a recording PPG signal generated from a second sequence of image frames obtained from the photodetector, and identify a calibration model from a plurality of blood pressure calibration models based on the calibration PPG signal and the recording PPG signal. The computing device can generate a calibrated blood pressure value using the recording PPG signal, features associated with the calibration PPG signal and the identified calibration model.

Disclosed are devices and methods for estimating blood pressure, which implement a pulse-transit-time-based blood pressure model that can be calibrated. Some implementations provide reliable and user friendly means for calibrating the blood pressure model using blood pressure perturbation methods and multiple sensors.

A patient monitoring system includes: a biomedical sensor including: a transducer configured to produce a signal corresponding to a biological function; a sensor converter configured to convert the signal to a converted signal; and a transmitter configured to produce a communication, based on the converted signal, that is indicative of one or more values of the biological function, and to send the communication wirelessly; and a base station including: a receiver configured to receive the communication wirelessly and to produce a receiver output signal; a base station interface configured to produce a base station output signal indicative of the one or more values of the biological function; and at least one output port to receive the base station output signal and configured to be hard-wire connected to a display that is configured to display information indicative of the biological function.