Abstract: At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of receiving over a network a request from an employing entity to facilitate an automatic savings program including savings accounts for employees of the employing entity, receiving over the network a request from an employee to participate in the automatic savings program, automatically routing at predetermined time intervals an employee-selected amount of the employee's wages to a savings account of the employee, receiving at least one request over the network from the employee to transfer funds from the savings account of the employee to an employee-designated destination, and initiating the requested fund transfer.

Abstract: Systems, devices, and methods for optimizing a physiological measurement are described herein. A system may include a wearable band that is wearable by a subject, a user device attached to the wearable band, and a measurement device configured to the physiological measurement. The user device may include a first communication device and a user interface. The measurement device may include a hollow housing, a processing device disposed within the housing, an elastic coupling member disposed within the housing, a physiological sensor coupled to the housing by the elastic coupling member, and a second communication device. The physiological sensor may take the physiological measurement and communicate the physiological measurement to the user device. The user interface may display the physiological measurement to the subject. The physiological measurement device and the user device may be attached to the same wearable band that is worn by the subject.

Abstract: Systems, devices, and methods are described herein for maintaining a physiological sensor at constant pressure against a subject. A system may include a wearable band that is wearable by a subject, a physiological sensor coupled to the wearable band, a pressure sensor coupled to the wearable band, a processor and a user interface. The physiological sensor may be positioned along an inside surface of the wearable band, embedded in the wearable band, or otherwise positioned in the band to be adjacent to the subject as the subject wears the wearable band. The pressure sensor may directly or indirectly measure a pressure of the physiological sensor against the subject. The processor may generate an alert when a pressure measurement for the physiological sensor against the subject is outside a specified range. The user interface may present the alert to the subject.

Abstract: A method, system, device, or apparatus for notifying a device of a greater number of safety events associated with the first user. The method includes retrieving safety events associated with a first user of a first electronic device and determining a frequency of safety events. The method includes retrieving safety events associated with a second user of a second electronic device and determining a frequency of safety events. The method includes comparing the frequency of safety events associated with the first user and the number of safety events associated with the second user and determining that there is a greater frequency of safety events associated with the first user than with the second user for the period of time. The method includes determining a cause of the greater frequency of safety events associated with the first user.

Abstract: Systems, devices, and methods are described herein for ensuring constant contact of a physiological sensor with a subject. A device may include a wearable band wearable by the subject, an elastic coupling member, a sensor module coupled by the elastic coupling member to the wearable band, a housing attached to the wearable band, a processor, and a user interface. The wearable band may include a recess extending into the wearable band. The elastic coupling member and/or the sensor module may be disposed within the recess. As the subject wears the wearable band, the elastic coupling member may press the sensor module against the subject and may cause constant contact between the sensor module and the subject. Electrical tracing embedded in the wearable band and extending from the sensor module to the housing may couple the sensor module to the processor or the user interface.

Abstract: Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch.

Abstract: At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of receiving over a network a request from an employing entity to facilitate an automatic savings program including savings accounts for employees of the employing entity, receiving over the network a request from an employee to participate in the automatic savings program, automatically routing at predetermined time intervals an employee-selected amount of the employee's wages to a savings account of the employee, receiving at least one request over the network from the employee to transfer funds from the savings account of the employee to an employee-designated destination, and initiating the requested fund transfer.

Abstract: Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch.

Abstract: An integrated glucose monitoring system comprising a glucometer and mobile device housed in a housing. The glucometer includes a measurement component to receive a blood glucose test strip containing a sample of blood of an individual, and a port to transmit the blood glucose measurement to a mobile device. The mobile device communicatively and physically coupled to the glucometer. The mobile device includes a port configured to couple with the glucometer, a communication component to receive the blood glucose measurement from glucometer, a power management component to transmit power to the glucometer, and another port to receive power from a power source to power the mobile device. The housing is to house the glucometer and the mobile device to form a single solitary glucose monitoring system.

Abstract: 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.

Abstract: Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch.

Abstract: A method, system, apparatus, and/or device that may include: determining, by a processor, that an alert event has occurred; determining, by the processor, a level of the alert event, wherein the level of the alert event is a caution alert level, an urgent alert level, or a critical alert level; determining, by the processor, an initial alert activity associated with the caution alert level, the urgent alert level, or the critical alert level; performing, by the processor, the initial alert activity receiving, from an input device, an updated alert activity associated with the caution alert level, the urgent alert level, or the critical alert level; and in response to that the initial alert activity conflicting with the updated alert activity, maintaining, by the processor, using the initial alert activity associated with the caution alert level, the urgent alert level, or the critical alert level.

Abstract: Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch.

Abstract: A method, system, apparatus, and/or device that may include: a first sensor operable to take a first physiological measurement; a second sensor operable to take a second physiological measurement; and a processing device operatively coupled to the first sensor and the second sensor. The processing device may be operable to: receive a first measurement data for the first physiological measurement; receive a second measurement data for the second physiological measurement; generate an event data set based on the first measurement data with the second measurement data; determine an event occurred based on the event data set; determine a type of the event; and in response to the event being a safety event: determine a type of the safety event; identify a risk level of the safety event; and in response to the risk level exceeding a threshold level, notify a second device of the safety event.

Abstract: Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch.

Abstract: A method, system, apparatus, and/or device that may include: a housing, a sensor interface, and a processing device. The housing may be shaped to be affixed to a body of a user and may include an inner cavity that houses electronic components and an impedance sensor. The impedance sensor may include a first contact terminal and a second contact terminal. The sensor interface may be configured to: generate an electric signal; receive the electric signal through a skin layer below a surface of the body of the user; and determine an impedance measurement between the first contact terminal and the second contact terminal based on the electric signal. The processing device may be configured to determine, based on the impedance measurement: a condition of a vascular system of the user; an amount of a constituent of the vascular system of the user; or a hydration condition of the user.

Abstract: At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of receiving over a network a request from an employing entity to facilitate an automatic savings program including savings accounts for employees of the employing entity, receiving over the network a request from an employee to participate in the automatic savings program, automatically routing at predetermined time intervals an employee-selected amount of the employee's wages to a savings account of the employee, receiving at least one request over the network from the employee to transfer funds from the savings account of the employee to an employee-designated destination, and initiating the requested fund transfer.

Abstract: This invention provides the ability for an inventor to determine the probability of their invention being granted a patent. The invention disclosure and/or any type of patent document is classified before, during or after being filed by using any of the existing classification systems (e.g., CPC codes) or others such as a new and novel business vernacular classification system (as described as part of this disclosure). This newly created invention persona (classified document) is then compared to the existing patent database to discover granted patents that are similar and may be compared to other public and non-public databases to discover prior art. An analysis is then performed using various algorithms pertaining to the similarity of the classification by examining the branches, proximity, density etc. of the various assigned codes which will uncover the novelty, non-obviousness, and utility of the invention disclosure.

Abstract: A method, system, apparatus, and/or device that may include: monitoring safety event data of a plurality of electronic devices via an electronic communication network; receiving a first set of safety event data from a first electronic device of the plurality of electronic devices via the electronic communication network; determining that a first safety event has occurred at the first electronic device of the plurality of electronic devices based on the first set of safety event data; determining that a second safety event has occurred at a second electronic device of the plurality of electronic devices based on a second set of safety event data; and determining a prediction that a third safety event will occur at a third electronic device of the plurality of electronic device based on the first safety event data and the second safety event data.

Abstract: A method, system, or device for hydration monitoring using trend analysis. The method may include measuring a physiological measurement of an individual with a sensor to obtain trend data correlating to a hydration level of the individual. The method may include removing an abnormal shift or an abnormal change from the trend data. The method may include removing abnormal shifts and changes from the raw trend data. The method may include identifying a trend parameter for the trend data, the trend parameter indicating a change in the hydration level of the body. The method may include determining a reference value for the trend parameter. The method may include identifying a change in the trend data for the trend parameter, the change in the trend data indicating a change in the hydration level of the individual.