Sound Sensor Network Heat Map for Patient Room Noise
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hospitals lack reliable tools to automatically and accurately measure noise levels within specific areas, such as patient rooms, to effectively manage noise and improve patient satisfaction, as existing technologies are limited to single-device or single-sensor measurements that are often inaccurate due to distance from the patient's location.
Innovation Solution
A system of sound sensors placed at various locations within a coverage area, transmitting data to a computer for analysis, which adjusts measurements using calibration factors to estimate quietness and generates a heat map, allowing for real-time alerts and actionable data on noise levels, with the ability to visualize noise levels over time and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sound sensor is used to measure noise levels, then the device complexity is reduced, but the measurement precision deteriorates due to inaccurate representation of noise levels at the patient's location
Solution Approach 1:
The system divides the monitoring area into multiple zones with separate sound sensors positioned at different locations. Each sensor measures noise levels in its specific zone, and the computer integrates these segmented measurements to calculate an accurate overall noise level estimate for the patient's location, resolving the contradiction between device simplicity and measurement precision.
Solution Approach 2:
The computer acts as an intermediary that receives raw measurements from multiple sensors, applies calibration factors based on sensor positions, and computes adjusted noise level estimates. This intermediary processing transforms simple sensor readings into precise measurements that accurately represent the noise environment at the patient's location.
2Measurement precision
If sound sensors are placed at various locations to improve measurement accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
Multiple sound sensors serve multiple functions: they simultaneously measure noise levels at different locations, provide data for spatial mapping, enable calibration factor calculation, and support real-time monitoring. This multi-functionality justifies the increased number of sensors by extracting maximum value from each component.
Solution Approach 2:
The system transitions from single-point measurement to multi-dimensional spatial measurement by placing sensors at various locations and heights. The computer then integrates these multi-dimensional data points through calibration and interpolation to create a comprehensive three-dimensional noise map, improving measurement precision without proportionally increasing complexity.
3Measurement precision
If calibration factors are applied to adjust measurements, then the measurement precision improves, but the processing complexity increases
Solution Approach 1:
The system performs preliminary calibration by measuring noise levels at known reference locations and calculating calibration factors in advance. These pre-computed factors are stored and applied during actual patient monitoring, avoiding the need for complex real-time calibration calculations and reducing processing complexity during operation.
Solution Approach 2:
The computer adjusts noise level measurements by applying calibration factors that modify the raw measurement parameters based on sensor position and characteristics. This parameter transformation simplifies the complex relationship between sensor readings and actual noise levels at the patient's location, improving precision through systematic parameter adjustment rather than complex algorithms.
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
Provides accurate and actionable noise level data, enabling hospitals to effectively manage noise, improve patient satisfaction, and potentially enhance rankings and reimbursements by ensuring quieter environments, through precise measurement and statistical analysis.
Implementation Method 1
Sound sensors are placed in various locations in the patient room. Sound levels are periodically taken by each sensor
Data Source
AI summary
A system for measuring sound levels is provided. The system comprises a processor, a memory, and an application stored in the memory that when executed on the processor receives sound levels recorded by each of a plurality of sound sensors located in a coverage area. The application also samples noise levels from the received sound levels at least one location within the coverage area. The application also derives values based at least on the samples and on estimates of sound attenuation at the at least one location. The application also creates a heat map based at least on the derived values, the heat map representing at least noise levels experienced within the coverage area.