Wireless Proximal Communication Signal Distortion Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless proximal communication signals used in devices like implantable medical devices often suffer from distortion due to excessive power levels, leading to decoding errors and difficulties in establishing reliable communication links, especially when devices are in close proximity.
Innovation Solution
The solution involves measuring distortion in received signals to apply corrections during decoding and adjusting transmission power levels based on pulse width measurements, allowing for accurate data retrieval and device location tracking, including determining the depth and migration of implantable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices communicate using close proximity for wireless proximal communication, then communication link is established and device authentication is ensured, but signal distortion occurs and decoding errors increase
Solution Approach 1:
The receiving device measures the actual pulse width of received signals and feeds back this information to the transmitting device. The transmitting device then adjusts its transmission power level based on this feedback to optimize signal quality and minimize distortion while maintaining reliable communication.
Solution Approach 2:
The system dynamically changes the transmission power level parameter based on measured pulse width characteristics. By adjusting this parameter in response to actual signal conditions, the system adapts to minimize distortion while maintaining communication reliability.
2Power
If transmission power level is increased to improve signal strength, then communication range is extended, but signal distortion increases and decoding accuracy decreases
Solution Approach 1:
The receiving device measures pulse width and transmits this feedback information back to the transmitting device. Based on this feedback, the transmitting device adjusts its power level to achieve optimal signal strength without excessive distortion, thereby improving decoding accuracy.
Solution Approach 2:
The transmission power level is made dynamic rather than fixed. The system continuously monitors signal quality through pulse width measurement and adjusts power levels in real-time to maintain optimal decoding accuracy while adapting to changing communication conditions.
3Loss of information
If transmission power level is reduced to minimize signal distortion, then decoding accuracy is improved, but communication range is limited
Solution Approach 1:
By implementing feedback through pulse width measurement, the system can dynamically adjust transmission power to achieve the optimal balance between communication range and signal quality, preventing both excessive distortion and unnecessary range limitations.
Solution Approach 2:
The system changes the transmission power parameter dynamically based on actual signal conditions measured through pulse width analysis, allowing the communication range to be optimized rather than fixed at a limited distance.
4Measurement precision
If pulse width measurement correction is applied to decode body pulses, then decoding accuracy is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary measurement of pulse width characteristics during the header portion reception, before processing the body portion data. This preliminary action allows the correction factors to be determined in advance, simplifying the subsequent decoding process.
Solution Approach 2:
The system uses the header portion as a reference template that contains known pulse width characteristics. By comparing the actual received header pulses against this known pattern, the system extracts distortion information without requiring complex analysis of the entire signal.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of data decoding, reduces transmission power to prevent distortion, and enables precise tracking of device location and migration, improving communication efficiency and reliability.
Implementation Method 1
The wireless proximal communication signals typically have a relatively short range of a few feet or less and rely on close proximity of the two devices in order to establish the communication link. An example of wireless proximal communication signals utilizes inductive coupling to transfer the signals
Data Source
AI summary
Devices that communicate using wireless proximal communications measure pulse width to find distortion in the received signal. The distortion may be due to the devices being too close to one another for a transmission power level currently being used which causes ringing of a receiving coil. The distortion may be used to find a correction that the receiving device may use to correct for the distortion in the received pulse train when decoding the pulse train. The distortion may be used to adjust a transmission power level of the receiving device and/or to send an instruction to the transmitting device to adjust the power transmission power level of the transmitting device. The distortion may be used for other purposes including determining a device depth and/or location for an implanted device, such as an implantable medical device within a body of a patient.