Embodiments of the present disclosure provide techniques and configurations for a wearable sensor apparatus. In one instance, the apparatus may comprise a flexible substrate and conductive fabric component that comprises a first length and that may be attachably mounted on the flexible substrate. The conductive fabric component, in response to a direct or indirect application of external force to the flexible substrate, may stretch between the first length and a second length that is greater than the first length, and generate an electric parameter based at least in part on an amount of the applied external force. Other embodiments may be described and/or claimed.

Bio-sensing devices are embedded as part of smart eye-wear system, comprising of a pair of temples and a nose pad. A plurality of sensors disposed within the eye-glasses and are adapted to acquire, analyze, and classify biometric information to monitor and detect abnormal heart behavior and to predict congestive heart failure. Using Machine Learning methods to monitor and detect abnormal heart behavior and classify/predict congestive heart failure, depends on sensing device to capture and provide bio-signals, to provide meaningful and usable extracted features by the machine. Sensing Device, capable of capture meaningful and useful bio-signals generated by the human body is discussed, which are pressure wave sensor, capable of acquiring acoustic pressure wave signal generated by the body and extracting heart sound from the sensor. Additionally, ion exchange sensing device, which is capable of extracting sodium, potassium, glucose and lactate information from human sweat is also discussed.

Among others, the present invention provides apparatus for interacting with a biological subject to detect circulating tumor cells therein, comprising one device for sending a signal to the biological subject and optionally receiving a response to the signal from the biological entity.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Disclosed is an apparatus for analyzing the composition of bodily fluid. The apparatus can include a fluid handling network including a patient end configured to maintain fluid communication with a bodily fluid in a patient and a pump unit in operative engagement with the fluid handling network. The pump unit can have an infusion mode, in which the pump unit is operable to deliver infusion fluid to the patient through the patient end, and a sample draw mode, in which the pump unit is operable to draw a sample of the bodily fluid from the patient through the patient end. The apparatus can include a spectroscopic analyzer positioned to analyze at least a portion of the sample; a processor in communication with or incorporated into the spectroscopic analyzer; and stored program instructions executable by the processor to obtain measurements of two or more properties of the sample.

Methods and systems are disclosed for defining physiological states using sweat-sensing devices. An output of sweat-sensing devices is defined by identifying a set of sweat sensor values. Each sweat sensor value of the set of sweat sensor values includes an electrical-signal value produced by a sensor. For each sweat sensor value of the set of sweat sensor values, the electrical-signal value of the sweat sensor value is translated into a voltage value thereby generating a translated sweat sensor value. Each translated sweat sensor value is calibrated by transforming, upon applying a hardware correction value to the translated sweat sensor value, the voltage value into a physiological value. The calibrated sweat sensor values are aggregated and the calibrated seat sensors values are then modified using received environmental inputs. An output is then generated based on the modified sweat sensor values.

A flexible, multi-layered device for automatically sensing sweat biomarkers, storing and transmitting sensed data via wireless network to a computing device having software applications operable thereon for receiving and analyzing the sensed data. The device is functional in extreme conditions, including extremely hot temperatures, extremely cold temperatures, high salinity, high altitude, extreme pHs, and/or extreme pressures.

A method, system and computer program product for assisting the user to wear an appropriate amount of clothing layers. A smart device (e.g., smartwatch) receives measurements of temperature and humidity sensed at various locations on a human body which are sources of sweat. In response to the measured temperature or humidity being above the first threshold (indication that the user will start to feel overheated) or below the second threshold (indication that the user will start to feel cold), the smart device generates a notification to the user to adjust the clothing layers (e.g., remove a clothing layer). Alternatively, the smart device may receive measurements of a pH level of the user's sweat. The smart device generates a notification to the user to stop exercising and to drink water in response to the received measurement being below a threshold (indication that the user is approaching dehydration).

A method, system and computer program product for assisting the user to wear an appropriate amount of clothing layers. A smart device (e.g., smartwatch) receives measurements of temperature and humidity sensed at various locations on a human body which are sources of sweat. In response to the measured temperature or humidity being above the first threshold (indication that the user will start to feel overheated) or below the second threshold (indication that the user will start to feel cold), the smart device generates a notification to the user to adjust the clothing layers (e.g., remove a clothing layer). Alternatively, the smart device may receive measurements of a pH level of the user's sweat. The smart device generates a notification to the user to stop exercising and to drink water in response to the received measurement being below a threshold (indication that the user is approaching dehydration).

The disclosed invention includes: a device and method of performing physiological sweat sensing device calibration; a device and method of indicating an individual's dehydration state; a device and method of indicating an individual's stage in their ovulation cycle; a device and method of indicating that an individual is hypokalemic or hyperkalemic; a device and method of indicating that an individual is entering a hypoglycemic state; a device and method of indicating an individual's glucose trend value; and a device and method of indicating that an individual has experienced toxic substance exposure.