Analyte Sensor Communication Using Signal-Derivative Selection
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Solution Overview
Problem
Conventional glucose monitoring systems for diabetics suffer from battery life concerns in wireless transmitters, leading to reliability issues due to intermittent data transmission, and lack of timely alerts for hyperglycemic or hypoglycemic conditions.
Innovation Solution
A method for identifying and connecting analyte sensor systems using input from a display device, which includes selecting the sensor system based on identification information, signal derivatives, and user interaction, to optimize wireless communication and battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless transmission of analyte data is implemented, then convenience and continuous monitoring capability are improved, but battery life is reduced
Solution Approach 1:
The system implements periodic transmission of analyte data at predetermined time intervals instead of continuous transmission. The transmitter sends data packets containing analyte values at scheduled intervals, which reduces power consumption while still providing continuous monitoring capability. This periodic action allows the battery to last longer while maintaining the convenience of remote monitoring.
2Duration of action of moving object
If intermittent transmission is used to conserve battery life, then battery life is improved, but reliability of data transmission deteriorates
Solution Approach 1:
The system incorporates feedback mechanisms where the display device sends requests for analyte data and the transmitter responds with data packets. The feedback loop includes acknowledgment signals and error checking to ensure reliable data transmission. This allows the system to maintain reliability even with intermittent transmission by ensuring each transmitted packet is received and validated correctly.
Solution Approach 2:
The transmitter buffers analyte data locally and prepares data packets in advance for transmission. When a transmission opportunity arises, pre-prepared data packets are sent immediately, reducing the risk of data loss. This preliminary preparation ensures that even with intermittent transmission, the most recent analyte values are reliably communicated to the display device.
3Reliability
If frequent transmission intervals are used, then reliability of glucose level monitoring is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts transmission intervals based on glucose level conditions. During periods of stable glucose levels, transmission intervals are extended to conserve energy. When glucose levels change rapidly or exceed threshold values, the system increases transmission frequency to provide timely alerts. This dynamic adjustment optimizes the balance between monitoring reliability and energy consumption.
Data Source
AI summary
Systems, devices, and methods are disclosed for wireless communication of analyte data. In this regard, in embodiments, a mobile includes a transceiver configured to transmit and receive wireless signals. The mobile device includes circuitry operatively coupled to the transceiver. The mobile device also includes a non-transitory computer-readable medium operatively coupled to the circuitry and storing instructions that, when executed, cause the mobile device to perform a number of operations. One such operation is to obtain a derivative of a first signal received via a first link. Another such operation is to obtain a derivative of a second signal received via a second link; and. Yet another such operation is to generate a selection for connection to an analyte sensor system, based on a comparison of the derivative of the first signal and the derivative of the second signal.