Wireless Sound Transmission Range Extension by Adaptive Compression
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Solution Overview
Problem
Wireless health monitoring systems face challenges in maintaining signal quality and range, especially in medical settings like fetal monitoring, where radio waves weaken with distance and are affected by noise and interference, leading to reduced signal strength and increased background noise.
Innovation Solution
The system dynamically adjusts sound data compression levels and transmission bandwidth based on the distance between the transmitter and receiver, using methods such as calculating signal strength and time of flight, and selecting appropriate compression levels and sub-bands to extend the radio frequency transmission range and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is transmitted uncompressed to maintain high signal quality, then sound quality is improved, but transmission range is reduced due to higher data rates requiring stronger signals
Solution Approach 1:
The system dynamically adjusts the compression level based on the measured distance between transmitter and receiver. When distance is large, higher compression is applied to reduce data rate and extend range. When distance is small, lower compression maintains sound quality. This dynamic adaptation resolves the contradiction between sound quality and transmission range.
Solution Approach 2:
The invention changes the compression parameter (data reduction level) based on transmission conditions. By calculating distance and selecting appropriate compression levels from a plurality of levels, the system optimizes the balance between signal quality and transmission range, allowing uncompressed or lightly compressed data for short distances and heavily compressed data for long distances.
2Length of stationary object
If data is compressed to extend transmission range, then transmission range is improved, but sound quality deteriorates due to loss of signal details
Solution Approach 1:
The system uses dynamic compression where the compression level is adjusted in real-time based on distance measurements. This allows the system to extend transmission range when needed while preserving sound quality when the receiver is close, resolving the contradiction between range extension and quality maintenance.
Solution Approach 2:
By selecting from multiple compression levels based on calculated distance, the system optimizes the compression parameter to achieve the desired transmission range while minimizing quality loss. The receiver can also request specific compression levels to maintain acceptable sound quality for its application.
3Measurement precision
If highest quality sound data is transmitted to maintain signal strength, then sound quality is improved, but transmission reliability decreases due to increased susceptibility to background noise
Solution Approach 1:
The system changes the compression parameter based on environmental conditions and distance. By using higher compression levels in noisy environments or at long distances, the system reduces data rate and improves transmission reliability while maintaining acceptable sound quality through selective compression levels.
Solution Approach 2:
The system uses feedback from distance calculations and transmission conditions to adjust compression levels. This feedback mechanism allows the system to optimize the balance between sound quality and reliability by selecting appropriate compression levels based on actual transmission conditions.
4Loss of energy
If data compression is applied to reduce data rate, then transmission bandwidth is reduced improving range, but information loss increases
Solution Approach 1:
The system adjusts the compression parameter to optimize the trade-off between bandwidth efficiency and information preservation. By selecting from multiple compression levels based on distance and application requirements, the system minimizes information loss while achieving adequate bandwidth reduction for extended range.
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 transmission range and reliability of wireless health monitoring by maintaining signal quality and reducing interference, allowing for reliable data transmission even as the patient moves away from the monitoring device, and ensures high data rates with improved carrier-to-noise ratio.
Implementation Method 1
calculating a distance between a mobile transmitter and a receiver based on one or more attributes of a wireless communication channel between the transmitter and the receiver
Implementation Method 2
calculating a distance between a mobile transmitter and a receiver based on one or more attributes of a wireless communication channel
Data Source
AI summary
The present disclosure relates to apparatuses and a method for wireless health monitoring comprising dynamically adjusting sound data compression level and/or transmission bandwidth of transmission between a mobile transmitter and a receiver. In some embodiments, a method for wireless health monitoring may include calculating (202) a distance between a mobile transmitter (104) and a receiver (110). A data compression (108) level for compressing a signal, e.g., a sound signal, from the transmitter may be determined out of a plurality of data compression levels based on the distance between the transmitter and the receiver. A transmission bandwidth may then be determined (208) based at least in part on the determined data compression level. The compressed signal may be transmitted (210) using the determined transmission bandwidth.