Sleep Sensor Analyzing Unit for Reduced Data Transmission Bandwidth
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Solution Overview
Problem
Existing systems for monitoring sleep states using sensors on furniture face challenges with high data transmission bandwidth, limiting comprehensive monitoring and analysis capabilities.
Innovation Solution
An analyzing unit is designed to process and analyze sensor data from sleeping or reclining furniture, reducing data transmission by sampling at a higher frequency locally and transmitting pre-analyzed physiological parameters at a lower frequency, enabling efficient data reduction and context-based analysis with external components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor data are transmitted to external computer for analysis, then comprehensive monitoring capability is improved, but data transmission bandwidth requirement increases
Solution Approach 1:
The system divides data processing into two segments: initial analysis is performed locally at the sensor/bed unit to extract essential physiological parameters, while more comprehensive computing-intensive analysis is performed externally. This segmentation allows comprehensive monitoring capabilities to be distributed across multiple locations, reducing the bandwidth burden on any single transmission channel while maintaining overall system versatility.
Solution Approach 2:
The analyzing unit performs preliminary analysis of sensor data locally before transmission, extracting key physiological parameters such as heart rate, respiratory rate, and sleep stages. By performing this preliminary processing action at the source, the system reduces the volume of data that needs to be transmitted to external computers, thereby maintaining comprehensive monitoring capability while significantly reducing bandwidth requirements.
2Measurement precision
If sensor data are sampled at high frequency for accurate analysis, then measurement precision is improved, but data transmission volume increases
Solution Approach 1:
The analyzing unit extracts only the essential physiological parameters (heart rate, respiratory rate, sleep stages) from the high-frequency sensor data before transmission. By taking out only the critical information needed for sleep monitoring rather than transmitting all raw sensor data, the system maintains measurement precision for key parameters while dramatically reducing the volume of data that needs to be transmitted to external systems.
Solution Approach 2:
The system performs complete high-frequency analysis locally to ensure measurement precision, then transmits only the essential results rather than all processed data. This partial transmission approach maintains the accuracy benefits of high-frequency sampling where needed while avoiding the excessive data transmission that would result from sending all analyzed data to external systems.
3Loss of information
If all sensor data are transmitted to external component, then analysis completeness is improved, but transmission time and energy consumption increase
Solution Approach 1:
The analyzing unit performs preliminary extraction of essential physiological parameters locally before transmission. This preliminary action ensures that all critical information is captured and transmitted, maintaining analysis completeness, while avoiding the need to transmit unnecessary data that would increase transmission time and energy consumption.
Solution Approach 2:
The system extracts and transmits only the essential physiological parameters that are necessary for complete sleep analysis. By taking out only the relevant information (heart rate, respiratory rate, sleep stages) rather than transmitting all sensor data, the system maintains analysis completeness while significantly reducing transmission time and associated energy consumption.
Data Source
AI summary
The invention relates to an analyzing unit (9′) for connecting to at least one sensor (12) which can be coupled to sleeping or reclining furniture in order to detect vibrations, movement, and/or sound. The analyzing unit (9′) is designed to process and analyze the signals of the at least one sensor (12) and detect physiological parameters (P) of a person using the sleeping or reclining furniture, and the analyzing unit (9′) is designed to transmit data to or exchange data with at least one external component. The invention further relates to a method for analyzing signals of at least one such sensor (12) and to sleeping or reclining furniture, in particular a bed (1), comprising at least one such sensor (12).