Data Security in Glucose Monitoring Systems

Communicating medical data like glucose levels from implantable sensors to external devices without pairing and encryption at the lower protocol layer. Instead, devices like sensors and displays establish a secret key over invitation channels. They then encrypt and broadcast medical data using the key. This allows secure communication without pairing, bonding, or frequent connection/disconnection. The key can be shared between devices for reuse.

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Securely exchanging sensor data between applications and sensors in a way that prevents unauthorized access by malware. The method involves establishing encrypted communications between the applications and sensors using a mutual trust module. This mutual trust module facilitates the secure communication by exchanging keys and establishing dedicated links between the application and sensor modules to protect the sensor data exchange.

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Enabling seamless transfer of glucose monitoring data between devices and systems like EMRs without requiring wired connections or user accounts. The method involves establishing associations between patient records from a glucose monitoring system and an EMR. When a request is made to access glucose data from the monitoring system, it compares the patient's identifying info to determine if the records exist. If so, it provides the glucose data. If not, it notifies the requesting system. This allows integrated glucose monitoring without user intervention or account setup.

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Securely transmitting blood glucose data from a sensor to a display device in a diabetes management system. It uses mutual authentication and key exchange protocols to verify and trust the sensor and display devices. This prevents unauthorized access and data tampering. The sensor and display devices mutually authenticate with each other and the diabetes management system to establish trust. This allows the sensor to transmit securely to the trusted display.

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Optimizing RF communication in medical devices like glucose monitors to improve reliability and reduce constraints on data transmission. The method involves separating urgent versus non-urgent data and transmitting them separately. Urgent data like glucose levels are sent immediately in full packets, while non-urgent data like calibration is broken into segments and transmitted in multiple packets. This allows more non-urgent data to be transmitted within the limited time window without compromising urgent data delivery. The method also involves using proximity commands between devices like a sensor and receiver to trigger specific functions like sensor removal detection. This reduces power consumption by putting the sensor in sleep mode when disconnected.

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Optimizing RF communication in medical devices like glucose monitors to improve data transmission efficiency. The optimization involves using close proximity commands to trigger specific functions on the device instead of sending all data at once. When the transmitter is close to the receiver, it sends predefined commands to request critical data like real-time glucose levels. This allows the transmitter to go into sleep mode between requests, conserving power. It also enables segmenting non-urgent data into packets and transmitting them separately. This separates time-sensitive critical data from less urgent data to reduce transmission time constraints. The close proximity commands are predefined and the receiver responds with requested data.

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Facilitating secure communications between medical devices like glucose sensors and displays in healthcare facilities without requiring input/output capabilities on the sensors. The method involves using a password-authenticated key exchange (PAKE) protocol to derive an authentication key at the application layer of both devices. This key is used to generate a passkey for device pairing, eliminating the need for input/output on the sensor. After successful authentication, encrypted connections are established between the devices.

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Transmitting and receiving biometric information between a sensor and a device in a continuous monitoring system reduces the load of determining whether biometric information was received at every regular interval. Instead, it checks for unreceived data only at longer non-receipt intervals and selectively requests missing data if needed. This reduces processing and energy waste compared to constant checking.

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Securely communicating analyte sensor data from medical devices like continuous glucose monitors to other devices like smartphones without compromising data integrity, confidentiality, or regulatory requirements. It involves a dedicated module on the reader device (like a smartphone) that manages pairing, connection, and secure data transfer between the sensor device and other electronics. This allows sharing of sensor data while meeting medical device compliance needs. The module also provides features like encryption, access control, and data logging to ensure proper handling of sensitive sensor data.

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Medical device features to help users monitor and manage analyte levels like blood glucose. The devices provide alerts, alarms, and reminders to assist users in maintaining proper analyte levels. Alerts indicate when measurements fall outside ideal ranges. Alarms are more urgent and indicate when measurements are in critical ranges. Reminders prompt retesting after initial measurements outside ideal ranges. The features can be customized and locked by authorized individuals to prevent unintended changes.

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Pairing multiple displays like smartphones and dedicated glucose monitors to a continuous glucose monitor transmitter in a secure manner. The displays are limited to a fixed number of connections to prevent overloading the transmitter. Periodic exchange of application keys ensures secure communication. The transmitter authenticates devices based on their type. This allows users to carry multiple displays and switch between them without losing data consistency.

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Continuous glucose monitoring system that allows efficient and reliable data transmission between a glucose sensor and display devices like smartphones. It reduces connection time and power consumption by optimizing the initial pairing process, minimizing advertisement signals, rejecting unwanted requests, and switching between devices. It also customizes the data sent to each device based on its capabilities. The system allows continuous monitoring with multiple devices without overwhelming the sensor.

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Quick and intuitive near field connection method for continuous glucose monitoring systems that involves using an image recognition code on the device to simplify and accelerate the connection process between the body attachable glucose sensor and a communication terminal like a phone. The code contains the device identifier and pairing code. When scanned, the terminal searches for the device using the ID and then connects using the stored pairing code. This allows easy reconnection if the code is lost by retrieving it from a server.

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A diabetes management system that allows flexible and configurable wireless communication between an implantable glucose sensor, display devices, and other diabetes management devices like insulin pumps. The system uses a diabetes management partner interface to enable devices like insulin pumps to access and modify sensor configuration parameters. This allows customization of sensor behavior to accommodate specific requirements of devices like pumps. The interface also facilitates configurable connections between devices to balance features like alerts vs battery life.

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Connecting a continuous glucose monitor to a communication device like a smartphone in a way that prevents mixing of data from different users and ensures proper functionality when reconnecting. The method involves checking if the monitor is new or previously used, verifying user identity, and checking if the monitor still has usable life left. If the monitor is reused, it connects without extra steps. If not, it terminates the connection to prevent mixing data. When reconnecting, it checks if the monitor is still usable and if the user is still authorized. This prevents using expired sensors or reusing ones by others.

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Wireless communication of glucose and other analyte data from implanted sensors to devices like smartphones. The system uses intermittent transmission to save battery life, but prevents reliability issues by using techniques like encryption, announcement messages, and adaptive transmission intervals. The sensor and display devices exchange authentication info during a first interval, then the sensor can transmit encrypted analyte values during subsequent intervals without authentication. This allows intermittent transmission without sacrificing reliability.

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Wireless communication of glucose data from a glucose sensor to multiple devices like a primary display and secondary displays, while conserving battery life and maintaining reliability. The sensor can pair with devices using advertisement messages. When connected, it transmits encrypted glucose data to the primary display. If the primary isn't present, it uses shorter-range, lower-power wireless to transmit to secondary displays. The sensor can also reconfigure ad duration to prioritize secondary displays if needed. This allows reliable multi-display glucose monitoring without sacrificing battery life.

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Securing medical device communication to prevent unauthorized access, data interception, and manipulation. The medical device verifies the identity of external devices before allowing communication. It generates public and private keys, exchanges the public key with external devices, and requires them to sign requests. The device decrypts and verifies signed requests using the private key to confirm identity. This prevents impersonation and man-in-the-middle attacks.

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Secure data transmission and user authentication in medical sensor networks to protect sensitive patient data and prevent unauthorized access. It uses public key encryption and bilinear pairing for identity authentication, and symmetric encryption for data transmission. Medical sensor nodes, doctors, and patients register with the backend server using their identity info. During login, temporary values are exchanged for verification. This ensures only authorized users can access data and prevents impersonation. The patient's sensor nodes also register. The backend server facilitates secure data transmission between sensors and authorized users.

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Securing communication and data between medical devices to prevent unauthorized access and protect sensitive patient information. The method involves using site-specific keys specific to a patient care environment, entity keys provided by device manufacturers, and combining algorithms to encrypt and decrypt patient data. The devices exchange encrypted patient blobs containing identifying info without revealing decryption keys. This allows decrypting patient IDs without key exchange. By using site-specific keys, it establishes trust and prevents man-in-the-middle attacks.

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