A non-invasive detection method and device, and a wearable apparatus for tissue element are provided. The method includes: acquiring, for a detected site of a detected object, a second light intensity measurement value for each predetermined wavelength of at least one predetermined wavelength at a measurement distance, and/or a second light intensity reference value for each predetermined wavelength of at least one predetermined wavelength at a reference distance, wherein the measurement distance is a source-detection distance corresponding to the first light intensity measurement value, and the reference distance is a source-detection distance corresponding to the first light intensity reference value; and determining a concentration of a tissue element to be detected according to the second light intensity measurement value of each predetermined wavelength and/or the second light intensity reference value for each predetermined wavelength.

The present disclosure relates to a liquid medicine injection device including a patch portion to which a sensor portion configured to measure blood glucose is detachable and in which an injection portion configured to inject a liquid medicine into the body of a user is installed, and a stamping portion on which the patch portion is mounted and including a first needle connectable to the sensor portion, wherein the stamping portion transmits power to the patch portion so that the first needle and a second needle, which is connected to the injection portion, are together inserted into the skin of the user, and the sensor portion and the injection portion are installed in a single device so that the convenience of use is improved when the liquid medicine injection device is attached to the skin of the user.

In some examples, a system includes a glucose sensor configured to generate a signal indicative of a blood glucose level of a patient, a medical device configured to deliver insulin to the patient, a peritoneal dialysis (PD) device, and control circuitry. The control circuitry is configured to control the PD device to deliver PD therapy to a patient during a PD cycle, determine a blood glucose level of the patient during the PD cycle based on a signal from the glucose sensor, determine that the blood glucose level is greater than or equal to a predetermined blood glucose level threshold, and control the medical device to deliver insulin to the patient in response to determining the blood glucose level is greater than or equal to the predetermined blood glucose level threshold.

Computer implemented biometric methods and systems incorporate sensing biophysical phenomena, translating the phenomena into digital data and transmitting the data to a series of servers operating in an open feedback loop to generate a module. A biometric networking system can include a biometric monitoring cloud computing platform with AI/machine learning augmented models are generated to make user assessments, programs and confidence scores to the healthcare provider systems. The AI/machine learning models can be used by the biometric monitoring network to generate health-related AI processes that analyze relationships treatment techniques and outcomes. AI techniques can be used to calculate movement modeling and confidence scoring including support vector machines, neural networks, and decision trees. The biophysical phenomena may include biometric parameters based on data, such as medical history, exertion, sleep, temperature, cardiovascular events, respiratory events, and muscle and blood pH.

The present disclosure presents glucose sensing methods and systems. One such system comprises an electrospun-nanofibrous-membrane (ENFM)-based amperometric glucose sensor integrated on a silicon chip, in which the glucose sensor has a working electrode, a reference electrode, and a counter electrode, wherein the working electrode comprises an ENFM-based sensing electrode. The system further comprises a potentiostat circuit integrated on the silicon chip such that the potentiostat circuit comprises a voltage control unit to control a voltage difference between the working electrode and the reference electrode and a transimpedance amplifier to measure a current flow between the working electrode and the counter electrode, in which a strength of the current flow corresponds to an amount of glucose present in a sample of blood on the glucose sensor.

A method, system, apparatus, and/or device to determine a condition of a user using multiple sensors. The method, system, apparatus, and/or device may include: a band configured to extend at least partially around a body part of a user having a subdermal feature within body part; a light configured in the band to emit light into the body part; a miniaturized spectrometer positioned in the band to press against the body part to receive the light, where the miniaturized spectrometer comprises: an optical filter configured to isolate a relevant constituent wavelength of the light; a collimator configured to collimate the light; and an optical sensor configured to detect an intensity of the relevant constituent wavelength; and an impedance sensor integrated into the band and configured to be positioned against a same side of the body part as the miniaturized spectrometer.

An adjustable measurement device is described that may include a housing, a power supply, a processor, a communication device, an elastic coupling member, a physiological sensor, and/or a clamp. The housing may be configured to attach to a wearable band that is wearable by a subject. The housing may include a chamber within the housing. The power supply, the processor, the communication device, the elastic coupling member, and or the physiological sensor may be disposed within the chamber. The elastic coupling member may couple the physiological sensor to the housing. A force exerted by the elastic coupling member on the physiological sensor may be in a direction through an opening towards a body part of a subject. As the subject wears the wearable band and the housing is coupled to the wearable band, the physiological sensor may be adjacent to or contact the subject.

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.

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device involves obtaining one or more measurement values of a physiological condition in the body of a user during an initial monitoring period and determining a fasting reference value for a metric based on the one or more measurement values. After the initial monitoring period, the method continues by obtaining an updated measurement value during a fasting period, determining a current value for the metric based at least in part on the updated measurement value, and generating a notification in response to a deviation between the current value and the fasting reference value exceeding a threshold indicative of insertion site loss or other loss of effectiveness.

Blood glucose control systems are disclosed. A blood glucose control system can receive a glucose level signal from a glucose sensor operatively coupled to a subject. The system can decode encoded data of the glucose level signal to obtain the glucose level of the subject and the indication of the glucose trend. The system can automatically calculate the dose control signal using a control algorithm configured to calculate regular correction boluses of glucose control agent in response to at least the glucose level of the subject. The system can select a dose control signal encoding profile from a plurality of dose control signal encoding profiles and, based on the dose control signal encoding profile, encode the dose control signal such that the pump controller can read the dose control signal. The system can transmit an encoded dose control signal to the pump controller.