The disclosure provides methods of managing opioid therapy, particularly, for pain management. The methods comprise determining in a subject, for example, a subject who has received an opioid treatment, pupillary unrest in ambient light (PUAL). Low values of PUAL can be used to identify patients at risk for opioid side-effects, such as opioid-related respiratory depression (OIRD), and who warrant attention to prevent such side effects. Accordingly, the methods include monitoring the patients having low values of PUAL for signs of adverse side-effects and/or limiting or avoiding administration of opioids.

Exercise-based watch faces and complications for use with a portable multifunction device are disclosed. The methods described herein for exercise-based watch faces and complications provide indications of time and affordances representing applications (e.g., a workout application or a weather application). In response to detecting a user input corresponding to a selection of the affordance (e.g., representing a workout application), a workout routine can optionally be begun. Further disclosed are non-transitory computer-readable storage media, systems, and devices configured to perform the methods described herein, as well as electronic devices related thereto.

A remote interface system according to some embodiments includes one or more patient monitoring devices having one or more sensors for patient monitoring, one or more first processors to receive information from the sensors and generate patient data based thereon, a web server, a first communication system, and a first screen to display a representation of at least a first portion of the patient data, and a remote interface device including a second communication system, a second screen, one or more second processors, an application executed by the one or more second processors and configured to detect a presence of the first communication system, establish a communication link between the first and second communication systems, establish a reliable connection channel (e.g. secure websocket connection) with the web server, receive the patient data via the connection, and display at least a second portion of the patient data on the second screen.

An apparatus comprising at least two RIP measurement bands further comprises an electric power source arrangement, which excites simultaneously the at least two measurement bands with electric currents of different pseudo random variations, for making respiratory signals output by the at least two measurement bands unique. The apparatus also comprises a wireless transmitter arrangement, which transmits wirelessly respiratory information based on the respiratory signals output by the at least two measurement bands.

A method for uterine activity monitoring may include: acquiring a plurality of signals from a plurality of sensors during uterine activity; processing the plurality of signals to extract a plurality of uterine electrical activity characteristics; analyzing the plurality of uterine electrical activity characteristics; and classifying the uterine activity as one of: a preterm labor contraction, a labor contraction, a Braxton-Hicks contraction, and a state of no contraction. A method of assessing over time a pre-term birth risk of a pregnant female may include: calculating a baseline pre-term birth risk score based on a user input; acquiring, over time, a signal from a sensor; analyzing the signal to extract a parameter of interest, such that the parameter of interest comprises a physiological parameter; and calculating an instant pre-term birth risk score based, at least in part, on the parameter of interest and the user input.

The present disclosure is directed to systems and methods of collecting environmental and/or biometric information and/or data using a chronic monitoring apparatus that includes a wearable expandable support structure to wirelessly receive power via a wireless power transfer antenna disposed in, on, or about the wearable expandable support structure. The chronic monitoring apparatus includes power receiver circuitry, data transmission circuitry, sensor circuitry, and control circuitry. The wearable expandable support structure maintains close contact between at least a portion of the sensor circuitry and the wearer of the chronic monitoring apparatus without requiring the use of adhesives or other bonding agents. The chronic monitoring apparatus communicates the collected environmental and/or biometric information to external data collection circuitry. The components included in the chronic monitoring apparatus are sealed within the wearable expandable support structure providing a rugged, reliable, resilient and waterproof system that is biocompatible, non-irritating and does not require the use of adhesives.

An apparatus device may include a bio-impedance sensor configured to take a bio-impedance measurement from a body of an individual, an optical sensor configured to take an optical measurement from the body of the individual, and a processing device configured to receive a first bio-impedance measurement from the bio-impedance sensor taken during a first period of time and a first optical measurement from the optical sensor taken during the first period of time, receive first location information of the individual during the first period of time, determine a first correlation between a physiological parameter and at least one of the first location, the first bio-impedance measurement, or the first optical measurement, and determine a first level of the physiological parameter based on the first correlation.

A system for displaying information indicative of driving conditions, to a driver, using a smart ring are disclosed. An exemplary system includes a smart ring with a ring band having a plurality of surfaces including an inner surface, an outer surface, a first side surface, and a second side surface. The system further includes a processor, configured to obtain data from a communication module within the ring band, or from one or more sensors disposed within the ring band. The obtained data are representative of information indicative of one or more driving conditions to be displayed to the driver. The smart ring also includes an electronic ink (e-ink) display disposed on at least one of the plurality of surfaces, and configured to present information indicative of the one or more driving conditions.

The present invention is related to a biological data sensor for measuring biological data from a user. The biological data sensor comprises a sensing module and a wearable charging module. The sensing module is formed by flexible printed circuit (FPC) and attached to the user's skin. The sensing module includes light emitting units, at least one sensing unit, and a rechargeable battery. The light emitting unit emits a first sensing light onto the user's skin. The first sensing light is transmitted onto the user's skin and reflected from the user's skin as a second detecting light. The sensing unit receives the second sensing light and outputs the biological data. The rechargeable battery is electrically connected to the light emitting units and the sensing unit, and the rechargeable battery provides power to the light emitting units and the sensing unit. The wearable charging module is worn on a part of the user adjacent to the sensing module. The wearable charging module includes a charger and a first transmitter. The first transmitter is electrically connected to the charger, obtains power from the charger, wirelessly transmits the power to the rechargeable battery of the sensing module, and receives the biological data from the sensing module.

The invention provides a system and method for measuring vital signs (e.g. SYS, DIA, SpO2, heart rate, and respiratory rate) and motion (e.g. activity level, posture, degree of motion, and arm height) from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.