EP3078013A1 - Analytkonzentrationsalarmierungsfunktion für analytsensorsystem - Google Patents
Analytkonzentrationsalarmierungsfunktion für analytsensorsystemInfo
- Publication number
- EP3078013A1 EP3078013A1 EP14866827.0A EP14866827A EP3078013A1 EP 3078013 A1 EP3078013 A1 EP 3078013A1 EP 14866827 A EP14866827 A EP 14866827A EP 3078013 A1 EP3078013 A1 EP 3078013A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- transceiver
- activity information
- generate
- activity
- alert
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
Definitions
- the present invention relates generally to an analyte concentration alert function for an analyte sensor system. Specifically, the present invention relates to a hypoglycemia alert function for a glucose sensor system that generates an alert based on acceleration data. [0004] Discussion of the Background
- Diabetes is a metabolic disease in which the body's inability to produce any or enough insulin causes elevated levels of glucose in the blood.
- Treatment for diabetes includes oral medications and injection or infusion of basal and/or bolus insulin. People with diabetes have an increased risk of hypoglycemia.
- Hypoglycemia is defined as a condition characterized by abnormally low blood glucose levels, usually less than 70 mg/dL. Hypoglycemia can also include conditions when the blood glucose of any individual abruptly keeps dropping and goes below a certain threshold (e.g., 70 mg dL).
- a certain threshold e.g. 70 mg dL.
- the most common reasons leading to hypoglycemia in patients include injecting a dose of insulin (e.g., a meal bolus) and then skipping a meal, overdosing on insulin (e.g., through too many injections or through an insulin pump), or strenuous activity (e.g., running or exercising). There are a number of symptoms associated with hypoglycemia (e.g., seizures, etc.).
- hypoglycemia a condition known as hypoglycemia unawareness. If left untreated, hypoglycemia has the potential to lead to fatal situations, such as accidents, injuries, unconsciousness, seizures, coma, and, in some cases, death.
- hypoglycemia is treated with the consumption of carbohydrates to restore blood glucose to safe levels and prevent the progression to severe hypoglycemia.
- People with diabetes need to maintain a log of the amount of daily carbohydrates consumed in order to adequately treat their diabetes. Errors in carbohydrate counting can lead to miscalculated doses of insulin which in turn can lead to hypoglycemia.
- an emergency injection of the hormone glucagon may be required (i.e. a glucagon rescue) to raise the blood glucose to a safe level.
- CGMs continuous glucose monitors
- One aspect of the invention may provide a method of alerting for a current or projected physiological condition or reaction.
- the method may comprise generating acceleration data corresponding to movement of an accelerometer, generating activity information based on the acceleration data, and generating an alert for the current or projected physiological condition or reaction based on the activity information.
- the method may further comprise displaying the alert.
- the display of the alert may be by a mobile medical application executed by a processor of, for example, a display device.
- the display device may be, for example, a smartphone.
- the accelerometer may be located, for example, within a transceiver, an analyte sensor and/or an activity tracker.
- the physiological condition or reaction may be, for example, hypoglycemia, dehydration and or hyperglycemia.
- the alert may be a predictive alert.
- the method may further comprise receiving galvanic or physiologic measurements from an on-body or within body sensor, wherein the activity information is generated based on the acceleration data and the galvanic or physiologic measurements.
- the accelerometer is located in a transceiver
- the method may further comprise receiving activity information from an activity tracker, and wherein the alert is additionally based on the activity information received from the activity tracker.
- the method may comprise generating analyte concentration values based on data signals received from an analyte sensor, wherein generating the alert comprises generating the alert based on the activity information and the analyte concentration values.
- the method may comprise displaying a plot of the analyte concentration values and the activity information with respect to time.
- the plot may be generated by a mobile medical application executed by a processor of a display device, and the plot may be displayed on a display of the display device.
- the method may comprise using a transceiver to receive the data signals from the analyte sensor, and using the transceiver to generate the analyte concentration values.
- the method may comprise using the transceiver to convey the data signals to a display device, and using a mobile medical application executed by a processor of the display device to generate the analyte concentration values.
- generating activity information based on the acceleration information may comprise converting the acceleration data into scalar acceleration values, comparing the scalar acceleration values to an activity threshold, and generating activity information based on the frequency of acceleration values that exceed the activity threshold.
- the activity information may be used to detect sleep patterns and/or to detect step counts.
- generating activity information based on the acceleration information may comprise converting the acceleration data into scalar acceleration values, comparing the scalar acceleration values to an activity threshold, and generating activity information based on the frequency of acceleration values that exceed the activity threshold.
- a transceiver may be used to generate the activity information.
- a mobile medical application executed by a processor of a display device may be used to generate the activity information and/or generate the alert.
- a transceiver may be used to receive the generated activity information and/or to generate the alert.
- a system may be provided which comprises an accelerometer configured to generate acceleration data corresponding to movement of the accelerometer, and a transceiver configured to generate or receive activity information based on the acceleration data and to generate an alert for a current or projected physiological condition or reaction based on the activity information.
- the transceiver may comprise the accelerometer.
- Some embodiments may comprise an analyte sensor where in the analyte sensor comprises the accelerometer.
- the transceiver is configured to receive data signals from the analyte sensor, generate analyte concentration values based on the received data signals, and generate the alert based on the analyte concentration values, and the activity information.
- the system comprises a display configured to display the analyte concentration values and the activity information with respect to time.
- the display is configured to display a plot or graph of the analyte concentration values and the activity information with respect to time.
- the display device may include a transceiver interface device configured to receive the alert, the analyte concentration values, and the activity information from the transceiver; a processor configured to execute a mobile medical application configured to generate a display of the alert, the analyte concentration values, and the activity information; and a display configured to display the generated display.
- the transceiver may be configured to convert the acceleration data into scalar acceleration values, compare the scalar acceleration values to an activity threshold, and generate activity information based on the frequency of acceleration values that exceed the activity threshold.
- the system may comprise an activity tracker, wherein the activity tracker comprises the accelerometer.
- the transceiver may comprise the accelerometer and may be further configured to receive activity information from the activity tracker, and generate the alert based on (i) the activity information generated by the transceiver and (ii) the activity information received from the activity tracker.
- the transceiver may be further configured to receive galvanic or physiologic measurements from an on-body or within body sensor, and generate the activity information based on the acceleration data and the galvanic or physiologic measurements.
- an apparatus which comprises a sensor interface device configured to receive data signals from an analyte sensor; an accelerometer configured to generate acceleration data corresponding to movement of the accelerometer; and circuitry configured to generate analyte concentration values based on the received data signals, generate activity information based on the acceleration data, and generate an alert based on the analyte concentration values and the activity information.
- the apparatus may comprise an interface device configured to receive analyte concentration values and activity information, circuitry configured to generate a plot of the analyte concentration values and the activity information with respect to time, and a display configured to display the plot.
- a method may be provided for alerting for a current or projected physiological condition or reaction based on informatics generated by accelerometer measurements.
- FIG. 1 is a schematic view illustrating an analyte monitoring system embodying aspects of the present invention.
- FIG. 2 is a schematic view illustrating a transceiver embodying aspects of the present invention.
- FIG. 3 is a flow chart illustrating an alerting process embodying aspects of the present invention.
- FIG. 4 is a flow chart illustrating an activity information generation process embodying aspects of the present invention.
- FIG. 5 is a graph showing scalar acceleration values measured by a system
- FIG. 6 is a graph showing the intensity and duration of the physical activity of a patient measured by a system embodying aspects of the present invention.
- FIG. 7 is a graph showing the glucose and activity measurements measured by a system embodying aspects of the present invention.
- FIG. 1 is a schematic view of a continuous analyte monitoring system 120 embodying aspects of the present invention.
- the system 120 may include one or more of an analyte sensor 100, a transceiver 101, a display device 102, and an activity tracker 110.
- the sensor 100 and transceiver 101 may include one or more of the structural and/or functional features described in one or more of U.S. Patent Application Publication No. 2013/0241745; U.S. Patent Application Publication No. 2013/0211213; U.S. Application Serial No. 14/453,078; and U.S. Patent Application Publication No. 2014/0018644; all of which are incorporated by reference in their entireties.
- system 120 may include one or more accelerometers (e.g., accelerometer 105 and/or accelerometer 111), which may be, for example, 3D accelerometers.
- the one or more accelerometers may be configured to generate
- the continuous analyte monitoring system 120 may use the one or more accelerometers to keep track of near continuous movements of a user's upper arm, wrist, leg, or core, for example.
- the one or more accelerometers may be located in or part of one or more of the analyte sensor 100, transceiver 101, display device 102, and activity tracker 110.
- the transceiver 101 may include an accelerometer 105.
- FIG. 1 the transceiver 101 may include an accelerometer 105.
- the system 120 may include an activity tracker 110 (e.g., an on-body activity tracker such as, for example and without limitation, a fitbit), which may include an accelerometer 111 in addition to or as an alternative to the accelerometer 105.
- analyte sensor 100 and/or display device 102 may additionally or alternatively include an accelerometer.
- the transceiver 101 may be configured to generate activity information based on acceleration data generated by one or more accelerometers and may be configured to generate one or more alerts based on the activity information.
- the transceiver 101 may be configured to additionally or alternatively receive activity information (e.g., from display device 102 or activity tracker 110) that was generated (e.g., by display device 102 or activity tracker 110) based on acceleration data generated by one or more accelerometers.
- activity information e.g., from display device 102 or activity tracker 110
- was generated e.g., by display device 102 or activity tracker 110
- acceleration data generated by one or more accelerometers.
- the transceiver 101 and/or display device 102 may communicate the one or more alerts to a user.
- the alerts may be visual, audible, and/or vibratory alerts.
- the transceiver 101 may be configured to receive data signals from the analyte sensor 100 and may be configured to generate analyte concentration values based on the received data signals. In some embodiments, the transceiver 101 may be configured to generate one or more alerts based on the analyte concentration values and the activity information.
- the system 120 may include one or more displays. For example, in one non-limiting embodiment, the system 120 may include a display device 102, and the display device 102 may include a display 108 configured to display (e.g., in a plot or graph) one or more of the analyte concentration values and the activity information with respect to time. In some embodiments, the transceiver 101 may additionally or alternatively include a display configured to display one or more of the analyte concentration values and the activity information with respect to time.
- the analyte sensor 100 may include sensor elements 112 and a transceiver interface device 103.
- the sensor elements 112 may be configured to detect the presence and/or concentration of an analyte (e.g., glucose, oxygen, cardiac markers, low-density lipoprotein (LDL), high-density lipoprotein (HDL), or triglycerides).
- an analyte e.g., glucose, oxygen, cardiac markers, low-density lipoprotein (LDL), high-density lipoprotein (HDL), or triglycerides.
- the sensor elements 112 may include one or more of an analyte indicator, a light source configured to emit excitation light to the analyte indicator, and a photodetector configured to receive light from the analyte indicator. The amount of light received by the photodetector may be indicative of the presence or concentration of the analyte.
- the analyte sensor 100 may be an electro-optical sensor, this is not required, and, in some alternative embodiments, the analyte sensor 100 may be another type of analyte sensor, such as, for example and without limitation, an electro-chemical sensor.
- the transceiver interface device 103 may be configured to (i) receive a power signal and generate power for powering the sensor elements 112 and/or (ii) convey data signals generated by the sensor elements 112.
- the transceiver interface device 103 may be configured to wirelessly convey data signals, and the transceiver interface device 103 may include an inductive element (e.g., an antenna or coil).
- the transceiver interface device 103 may be configured to convey data signals via a wired connection to an external device (e.g., transceiver 101), and the transceiver interface device 103 may include the wired connection.
- the analyte sensor 100 may be an implantable sensor or a transcutaneous sensor.
- the sensor 100 may be implanted or inserted in a living animal (e.g., a living human).
- the sensor 100 may be implanted or inserted, for example, in a living animal's arm, wrist, leg, abdomen, peritoneum, intravenously, or other region of the living animal suitable for sensor implantation or insertion.
- the sensor 100 may be implanted beneath the skin (i.e., in the subcutaneous or peritoneal tissues) such that no portion of the sensor 100 protrudes from the skin, and the transceiver interface device 103 may convey data signals wirelessly.
- the analyte sensor 100 may be a fully implantable sensor, this is not required, and, in some alternative embodiments, the sensor 100 may be a transcutaneous sensor having a wired connection to the transceiver 101.
- the sensor 100 may be a transcutaneous sensor having a wired connection to the transceiver 101.
- the senor 100 may be located in or on a transcutaneous needle (e.g., at the tip thereof). In these embodiments, instead of wirelessly communicating (e.g., using inductive elements), the sensor 100 and transceiver 101 may communicate using one or more wires connected between the transceiver 101 and the transcutaneous needle that includes the sensor 100.
- the sensor 100 may be located in a catheter (e.g., for intravenous blood glucose monitoring) and may communicate (wirelessly or using wires) with the transceiver 101.
- the transceiver 101 may be an electronic device that communicates with the sensor 100 to power the sensor 100 and/or receive data signals (e.g., photodetector and/or temperature sensor readings) from the analyte sensor 100.
- the transceiver 101 may include a sensor interface device 104.
- the sensor interface device 104 of the transceiver 101 may be configured to receive the data signals from the analyte sensor 100 using wireless (e.g., inductive) and/or wired communication.
- wireless e.g., inductive
- the communication between the transceiver 101 and the analyte sensor 100 may be, for example and without limitation, near field communication.
- the transceiver 101 may implement a passive telemetry for communicating with the implantable sensor 100 via an inductive magnetic link for one or more of power and data transfer.
- the magnetic transceiver-sensor link can be considered as "weakly coupled transformer" type.
- the magnetic transceiver-sensor link may provide energy and a link for data transfer using amplitude modulation (AM). Although in some embodiments, data transfer is carried out using AM, in alternative embodiments, other types of modulation may be used.
- AM amplitude modulation
- the analyte monitoring system may use a frequency of 13.56MHz, which can achieve high penetration through the skin and is a medically approved frequency band, for power and/or data transfer.
- a frequency of 13.56MHz which can achieve high penetration through the skin and is a medically approved frequency band, for power and/or data transfer.
- this is not required, and, in other embodiments, one or more different frequencies may be used for powering and communicating with the sensor 100.
- the transceiver 101 may be a handheld transceiver or a body-worn transceiver (e.g., a transceiver held in place by a wristwatch, an armband, belt, or adhesive).
- the transceiver 101 may be held in place by a band (e.g., an armband or wristband) and/or adhesive (e.g., as part of a biocompatible patch), and the transceiver 101 may convey (e.g., periodically, such as every two minutes, and/or upon user initiation) measurement commands (i.e., requests for measurement information) to the sensor 100.
- the transceiver 101 is a handheld device, positioning (i.e., hovering or swiping/waving/passing) the transceiver 101 within range over the sensor implant site (i.e., within proximity of the sensor 100) may cause the transceiver 101 to automatically convey a measurement command to the sensor 100 and receive a reading from the sensor 100.
- the transceiver 101 may calculate analyte concentrations from the analyte data received from the sensor 100. However, it is not required that the transceiver 101 perform the analyte concentration calculations itself, and, in some alternative embodiments, the transceiver 101 may instead convey/relay the analyte data received from the sensor 100 to another device (e.g., display device 105) for calculation of analyte concentrations (e.g., by a mobile medical application executing on the display device 105).
- the analyte concentration calculation may include one or more features described in U.S. Patent Application Publication No. 2014/0018644, which is incorporated by reference in its entirety.
- the transceiver 101 may include a display interface device 106 configured to convey information (e.g., alerts and/or analyte concentrations) to one or more display devices 102.
- a display device 102 may be a portable and/or handheld device.
- the display device 105 may be a smartphone.
- the display device 102 may be a laptop computer, tablet, notebook, personal data assistant ("PDA"), personal computer, or a dedicated analyte monitoring display device.
- the display device 102 may include a transceiver interface device 107, which may be configured to communicate with the display interface device 106 of the transceiver 101 through a wired or wireless connection.
- the display device 102 may include a processor 109, and the display device
- 102 may have a mobile medical application installed thereon.
- a mobile medical application installed thereon.
- the processor 109 may execute the mobile medical application.
- FIG. 2 is a schematic view of a transceiver 101 according to a non-limiting embodiment.
- the display interface device 106 of the transceiver 101 may include an antenna of a wireless communication integrated circuit (IC) 910 and/or a connector 902.
- the display interface device 106 may additionally include the wireless communication IC 910 and/or a connector IC 904.
- the connector 902 may be, for example, a Micro-Universal Serial Bus (USB) connector.
- the connector 902 may enable a wired connection to an external device, such as a display device 102 (e.g., a smartphone or a personal computer).
- the transceiver 101 may exchange data to and from the external device through the connector 902 and/or may receive power through the connector 902.
- the connector IC 904 may be, for example, a USB-IC, which may control transmission and receipt of data through the connector 902.
- the transceiver 101 may also include a charger IC 906, which may receive power via the connector 902 and charge a battery 908 (e.g., lithium-polymer battery).
- the battery 908 may be rechargeable, may have a short recharge duration, and/or may have a small size.
- the transceiver 101 may include one or more connectors in addition to (or as an alternative to) Micro-USB connector 904.
- the transceiver 101 may include a spring-based connector (e.g., Pogo pin connector) in addition to (or as an alternative to) Micro-USB connector 904, and the transceiver 101 may use a connection established via the spring-based connector for wired communication to a display device 105 (e.g., a smartphone or a personal computer) and/or to receive power, which may be used, for example, to charge the battery 908.
- a display device 105 e.g., a smartphone or a personal computer
- the wireless communication IC 910 may enable wireless communication with an external device, such as, for example, one or more display devices 105 (e.g., a smartphone or personal computer).
- the wireless communication IC 910 may employ one or more wireless communication standards to wirelessly transmit data.
- the wireless communication standard employed may be any suitable wireless communication standard, such as an ANT standard, a Bluetooth standard, or a Bluetooth Low Energy (BLE) standard (e.g., BLE 4.0).
- BLE Bluetooth Low Energy
- the wireless communication IC 910 may be configured to wirelessly transmit data at a frequency greater than 1 gigahertz (e.g., 2.4 or 5 GHz).
- the wireless communication IC 910 may include an antenna (e.g., a Bluetooth antenna).
- the transceiver 101 may include voltage regulators 912 and/or a voltage booster 914.
- the battery 908 may supply power (via voltage booster 914) to radio- frequency identification (RFID) reader IC 916, which uses an inductive element 919 to convey information (e.g., commands) to the sensor 100 and receive information (e.g., measurement information) from the sensor 100.
- RFID radio- frequency identification
- the sensor 100 and transceiver 101 may communicate using near field communication (NFC) ⁇ e.g., at a frequency of 13.56 MHz).
- NFC near field communication
- the inductive element 919 is a flat antenna.
- the antenna may be flexible.
- the inductive element 919 of the transceiver 101 may be in any configuration that permits adequate field strength to be achieved when brought within adequate physical proximity to the inductive element 114 of the sensor 100.
- the transceiver 101 may include a power amplifier 918 to amplify the signal to be conveyed by the inductive element 919 to the sensor 100.
- the transceiver 101 may include a peripheral interface controller (PIC)
- the PIC microcontroller 920 may control the overall operation of the transceiver 101.
- the PIC microcontroller 920 may control the connector IC 904 or wireless communication IC 910 to transmit data via wired or wireless communication and/or control the RFID reader IC 916 to convey data via the inductive element 919.
- the PIC microcontroller 920 may also control processing of data received via the inductive element 919, connector 902, or wireless communication IC 910.
- the transceiver 101 may include a sensor interface device, which may enable communication by the transceiver 101 with a sensor 100.
- the sensor interface device may include the inductive element 919.
- the sensor interface device may additionally include the RFID reader IC 916 and/or the power amplifier 918.
- the sensor interface device may include the wired connection.
- the transceiver 101 may include a display 924 (e.g., liquid crystal display and/or one or more light emitting diodes), which PIC microcontroller 920 may control to display data (e.g., glucose concentration values).
- the transceiver 101 may include a speaker 926 (e.g., a beeper) and/or vibration motor 928, which may be activated, for example, in the event that an alarm condition (e.g., detection of a hypoglycemic or hyperglycemic condition) is met.
- the transceiver 101 may also include one or more additional sensors 930, which may include an accelerometer (e.g., accelerometer 105) and/or temperature sensor, that may be used in the processing performed by the PIC
- microcontroller 920 The microcontroller 920.
- the transceiver 101 may be a body-worn transceiver that is a rechargeable, external device worn over the sensor implantation or insertion site.
- the transceiver 101 may supply power to the proximate sensor 100, calculate analyte concentrations from data received from the sensor 100, and/or transmit the calculated analyte concentrations to a display device 105 (see FIGS. 1A, IB, and 5). Power may be supplied to the sensor 100 through an inductive link (e.g., an inductive link of 13.56 MHz).
- the transceiver 101 may be placed using an adhesive patch or a specially designed strap or belt.
- the external transceiver 101 may read measured analyte data from a subcutaneous sensor 100 (e.g., up to a depth of 2 cm or more). The transceiver 101 may periodically (e.g., every 2 minutes) read sensor data and calculate an analyte concentration and an analyte concentration trend. From this information, the transceiver 101 may also determine if an alert and/or alarm condition exists, which may be signaled to the user (e.g., through vibration by vibration motor 928 and/or an LED of the transceiver's display 924 and/or a display of a display device 105).
- an alert and/or alarm condition exists, which may be signaled to the user (e.g., through vibration by vibration motor 928 and/or an LED of the transceiver's display 924 and/or a display of a display device 105).
- the information from the transceiver 101 may be transmitted to a display device 105 (e.g., via Bluetooth Low Energy with Advanced Encryption Standard (AES)-Counter CBC-MAC (CCM) encryption) for display by a mobile medical application on the display device 105.
- a display device 105 e.g., via Bluetooth Low Energy with Advanced Encryption Standard (AES)-Counter CBC-MAC (CCM) encryption
- AES Advanced Encryption Standard
- CCM Bluetooth Low Energy with Advanced Encryption Standard
- the mobile medical application may provide alarms, alerts, and/or notifications in addition to any alerts, alarms, and/or notifications received from the transceiver 101.
- the mobile medical application may be configured to provide push notifications.
- the transceiver 101 may have a power button (e.g., button 208) to allow the user to turn the device on or off, reset the device, or check the remaining battery life.
- the transceiver 101 may have a button, which may be the same button as a power button or an additional button, to suppress one or more user notification signals (e.g., vibration, visual, and/or audible) of the transceiver 101 generated by the transceiver 101 in response to detection of an alert or alarm condition.
- the transceiver 101 may provide on-body alerts to the user in a visual, audible, and/or vibratory manner, regardless of proximity to a display device 105.
- the transceiver 101 may include one or more notification devices (e.g., display 924, beeper 926, and/or vibration motor 928) that generate visual, audible, and/or vibratory alerts.
- the transceiver 100 may be configured to vibrate and/or generate an audio or visual signal to prompt the user about analyte readings outside an acceptable limit, such as hypo/hyper glycemic alerts and alarms in the case where the analyte is glucose.
- the transceiver 101 may store the measurement information received from the sensor 100 (e.g., in memory 922).
- the measurement information received from the sensor 100 may include one or more of: (i) a signal channel measurement with a light source on, (ii) a reference or second signal channel measurement with the light source on, (iii) a light source current source voltage measurement, (iv) a field current measurement, (v) a diagnostic measurement, (vi) an ambient signal channel measurement with the light source off,
- the transceiver 101 may additionally store (e.g., in memory 922) other data with the measurement information received from the sensor 100.
- the other data may include one or more of: (i) an analyte concentration (e.g., in mg dL, such as, for example, within a range of 20.0 to 400.0 mg dL) calculated by the transceiver 101 from the measurement information, (ii) the date and time that the analyte measurement was taken, (iii) accelerometer values (e.g., x, y, and z) taken from an accelerometer (e.g., accelerometer 105 of the transceiver 101 and/or accelerometer 111 of the activity tracker 110), and/or (iv) the temperature of the transceiver 101 as measured by a temperature sensor of the transceiver 101.
- the transceiver 101 may keep track of the date and time and, as noted above,
- the transceiver 101 includes an accelerometer
- the accelerometer will enable tracking of activity levels of the subject that is wearing the transceiver 101. This activity level may be included in an event log and incorporated into various algorithms (e.g., for analyte concentration calculation, trending, and/or contributing to potential dosing levels for the subjects).
- the transceiver 101 may store (e.g., in memory 922) any alert and/or alarm conditions detected based on the calculated analyte concentrations.
- the continuous analyte monitoring system 120 may keep track of an analyte concentration (e.g., blood glucose concentration) in the user.
- an analyte concentration e.g., blood glucose concentration
- the continuous analyte monitoring system may facilitate user entry of one or more measurable physiological parameters (e.g., insulin and/or meal bolus and/or exercise regimen) on a mobile medical application.
- the mobile medical application may be running/executed on (a) the transceiver 101 and/or (b) the display device 102 (e.g., smartphone, receiver, laptop, tablet, notebook, or personal computer) in communication with the transceiver 101, analyte sensor 100, and/or activity tracker 110.
- the mobile medical application may be executed by a processor 109 of the display device 102.
- the communication between the transceiver 101 and the smartphone or other display device 102 may be wireless communication (e.g., using the Bluetooth wireless communication standard) or wired communication, and the smartphone or other display device 102 may receive information (e.g., analyte concentrations) from the transceiver 101.
- the continuous analyte monitoring system 120 may combine analyte concentration information with measurable physiological parameters to provide alerts regarding a current or projected physiological condition.
- the continuous glucose monitoring system 120 may fuse glucose concentration information with measurable physiological parameters to provide alerts regarding a current or projected hypoglycemic condition.
- the alerts may include predictive alerts that could be used to prevent a projected physiological condition.
- predictive alerts could be used to prevent hypoglycemic episodes (e.g., night time hypoglycemic episodes or in cases of hypoglycemia unawareness) that are preceded by extended duration of activity detected using the accelerometer.
- the continuous analyte monitoring system may provide alerts to the mobile medical application which would trigger a text alert on the smartphone or other display device 102 such as "No meal was taken following extended activity. Please eat before going to sleep.”
- FIG. 3 is a flow chart illustrating an alerting process 300 embodying aspects of the present invention.
- the alerting process 300 may include a step 301 of generating acceleration data corresponding to movement of an accelerometer.
- the acceleration data may be generated by one or more accelerometers (e.g., accelerometer 105 and/or accelerometer 111), which may be located in one or more of the analyte sensor 100, transceiver 101, display device 102, and activity tracker 111.
- accelerometers e.g., accelerometer 105 and/or accelerometer 111
- the alerting process 300 may include a step 302 of generating activity information based on the acceleration data.
- the activity information may be generated by one or more of the transceiver 101 (e.g., by the microcontroller 920 of transceiver 101), the display device 102 (e.g., by a mobile medical application being executed on the processor 109 of the display device 102), and the activity tracker 111.
- the alerting process 300 may include a step 303 of generating analyte concentration values based on data signals received from the analyte sensor 100.
- the analyte concentration values may be generated by one or more of the transceiver 101 (e.g., by the microcontroller 920 of transceiver 101) and the display device 102 (e.g., by a mobile medical application being executed on the processor 109 of the display device 102).
- the step 303 of generating analyte concentration values occurs after steps 301 and 302, this is not required, and, in some alternative embodiments, the step 303 may occur before or during with one or more of steps 301 and 302.
- the alerting process 300 may include a step 304 of generating an alert for the current or projected physiological condition or reaction based on one or more of the activity information and the analyte concentration values.
- the alert may be generated by one or more of the transceiver 101 (e.g., by the microcontroller 920 of transceiver 101) and the display device 102 (e.g., by a mobile medical application being executed on the processor 109 of the display device 102).
- an accelerometer e.g., accelerometer 105
- the accelerometer may be placed inside a printed circuit board (PCB) of the transceiver 101, and the accelerometer may be used to detect the movements of the user's body (e.g., the user's upper body in an embodiment where the transceiver is worn on the arm or the user's core when the transceiver is worn on the abdomen).
- outputs of the accelerometer may correspond to accelerations along the X, Y and Z axis.
- the outputs may be analog values that have been converted to digital values by an analog-to-digital converter (ADC).
- ADC analog-to-digital converter
- the accelerometer outputs may be used to interpret and quantify the movements of the user(s) wearing the transceiver.
- FIG. 4 is a flow chart illustrating an activity information generation process 400 embodying aspects of the present invention.
- the process 400 may be performed in step 302 of the alerting process 300.
- the activity information generation process 400 may include a step 401 of converting accelerating data into scalar acceleration values.
- the conversion of step 401 may include converting raw data (e.g., digital values) from the accelerometer to g's (m/sec2).
- the conversion of step 401 may include converting the resultant data to a scalar value.
- the resultant data may be converted to scalar values using the formula shown below:
- circuitry e.g., microcontroller 920 of the transceiver 101 may carry out the conversion of the accelerometer raw data to g's and from the g's to the scalar values.
- FIG. 5 is a graph showing a non-limiting example of scalar acceleration values (black line) of an accelerometer over time.
- the process 400 may include a step 403 of comparing scalar acceleration values to one or more activity thresholds. That is, in some embodiments, the continuous analyte monitoring system 120 may use the scalar acceleration values to detect abrupt changes in acceleration based on one or more cutoff thresholds. These instances of high changes in acceleration typically correspond to changes in the position of the body and, thus, activity. Accordingly, in some non-limiting embodiments, the continuous analyte monitoring system 120 may detect activity by detecting when a scalar acceleration value exceeds the cutoff threshold (i.e., an activity threshold). FIG. 5 shows detected activities (stars) based on an activity threshold of 0.18 in the non-limiting example. Although an activity threshold of 0.18 is used in the embodiment shown in FIG. 5, this is not required, and alternative embodiments may use one or more different activity thresholds.
- the process 400 may include a step 403 of generating activity information based on the frequency of acceleration values that exceed the activity threshold.
- the step 403 may use the frequency of detected activities (e.g., within a time window) to characterize the activity in the acceleration information into three main categories: no activity/sedentary, moderate activity, and high activity.
- FIG. 6 is a graph showing an exemplary classification of the detected activity in the acceleration information into no activity, moderate activity, and high activity categories. Accordingly, FIG. 6 shows the intensity and duration of the physical activity of the user.
- this information about the activity may be (i) provided to the user independently as a graph generated by the mobile medical application and displayed on a display (e.g., display 108 of the display device 102) and/or (ii) fused with the analyte data from continuous analyte monitoring system for providing predictive alerts of possible health condition episodes (e.g., hypoglycemic episodes) before they happen.
- FIG. 7 is a graph showing an example of analyte measurements (e.g., continuous glucose monitoring system (CGMS) measurements) together with activity monitoring data.
- the graph may be displayed, for example and without limitation, by the display 108 of the display device 102 and/or by the display 924 of the transceiver 101.
- CGMS continuous glucose monitoring system
- the continuous analyte monitoring system 120 may additionally or alternatively use the activity information to detect sleep patterns and/or step counts, which may be provided to the user using graphs and/or bar plots.
- the graphs and/or plots may be, for example and without limitation, generated by a mobile medical application running on processor 109 of the display device 102 and displayed by display 108 of the display device 102.
- the continuous analyte monitoring system 120 may use galvanic or physiologic measurements (e.g., heartrate, heartbeat, and/or sweating) generated by one or more on-body or within body sensors in conjunction with the acceleration data generated by the one or more accelerometers to generate the activity information and generate the alerts regarding a current or projected physiological condition or reaction.
- galvanic or physiologic measurements e.g., heartrate, heartbeat, and/or sweating
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EP3089665A4 (de) * | 2013-12-31 | 2017-09-20 | Senseonics, Incorporated | System zur kontinuierlichen analytüberwachung |
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CA2991716A1 (en) * | 2015-07-10 | 2017-01-19 | Abbott Diabetes Care Inc. | System, device and method of dynamic glucose profile response to physiological parameters |
JP6662621B2 (ja) * | 2015-11-30 | 2020-03-11 | 能美防災株式会社 | 煙検出装置 |
JP2017102558A (ja) * | 2015-11-30 | 2017-06-08 | 能美防災株式会社 | 移動式煙検出装置 |
CA3235538A1 (en) * | 2016-08-17 | 2018-02-22 | California Institute Of Technology | Enhanced stethoscope devices and methods |
CA3055012C (en) * | 2017-04-04 | 2023-09-19 | F. Hoffmann-La Roche Ag | Medical sensor system, in particular continuous glucose monitoring system |
EP3731742A4 (de) * | 2017-12-28 | 2021-09-22 | Profusa, Inc. | System und verfahren zur analyse biochemischer sensordaten |
WO2020123465A1 (en) * | 2018-12-10 | 2020-06-18 | Senseonics, Incorporated | System and method for continuous and on-demand analyte monitoring |
US11540750B2 (en) * | 2018-12-19 | 2023-01-03 | Medtronic Minimed, Inc | Systems and methods for physiological characteristic monitoring |
US20220047192A1 (en) * | 2018-12-21 | 2022-02-17 | National University Corporation Yokohama National University | Bilirubin concentration measurement system |
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US7261690B2 (en) * | 2000-06-16 | 2007-08-28 | Bodymedia, Inc. | Apparatus for monitoring health, wellness and fitness |
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JP5090013B2 (ja) * | 2007-02-23 | 2012-12-05 | 株式会社日立製作所 | 情報管理システム及びサーバ |
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CA2861975C (en) * | 2011-12-15 | 2022-05-31 | Becton, Dickinson And Company | System for improved interpretation of physiological data and presentation of physiological condition management information |
EP3089665A4 (de) * | 2013-12-31 | 2017-09-20 | Senseonics, Incorporated | System zur kontinuierlichen analytüberwachung |
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Cited By (5)
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EP3089665A4 (de) * | 2013-12-31 | 2017-09-20 | Senseonics, Incorporated | System zur kontinuierlichen analytüberwachung |
US9814389B2 (en) | 2013-12-31 | 2017-11-14 | Senseonics, Incorporated | Continuous analyte monitoring system |
US11071455B2 (en) | 2013-12-31 | 2021-07-27 | Senseonics, Incorporated | Continuous analyte monitoring system |
US11116402B2 (en) | 2013-12-31 | 2021-09-14 | Senseonics, Incorporated | Continuous analyte monitoring system |
US12023126B2 (en) | 2013-12-31 | 2024-07-02 | Senseonics, Incorporated | Continuous analyte monitoring system |
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WO2015084947A1 (en) | 2015-06-11 |
CA2932880C (en) | 2023-04-25 |
AU2014360585A1 (en) | 2016-06-30 |
CA2932880A1 (en) | 2015-06-11 |
EP3078013A4 (de) | 2017-08-09 |
AU2014360585B2 (en) | 2019-08-15 |
JP2017504446A (ja) | 2017-02-09 |
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