Adaptive Body Sensor Sampling Using Physiological Signal Correlations

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Solution Overview

Problem

Existing body sensors for monitoring physiological data face energy inefficiencies due to frequent data sampling and transmission, leading to reduced battery life and increased risk of missing critical health indicators, especially in continuous monitoring scenarios.

Innovation Solution

Adaptive compressive sensing technology adjusts the frequency of data sampling and transmission based on user activity and physiological signal correlations, using sensing matrices to minimize data collection while maintaining information quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If body sensors and medical devices are made waterproof and hermetic, then they can be implanted in the body and withstand physiological conditions, but the number of external serviceable components is reduced making programming and parameter setting difficult

Engineering Contradiction:
Improvewaterproof capabilityVSAvoidprogramming capability
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

A handheld programming device serves as an intermediary between the external programming source and the hermetic implantable device. The programming device communicates with the implant through a telemetry circuit that couples to the hermetic seal, allowing parameter programming without compromising the waterproof integrity of the implant.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Stability of the object's composition

If the pacemaker uses a traditional fixed-rate pacing mode, then the pacing rhythm is stable and predictable, but it cannot adapt to changing physiological conditions such as sleep states or exercise levels

Engineering Contradiction:
Improvepacing rhythm stabilityVSAvoidphysiological adaptation
Core Design Contradiction:
Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The pacemaker implements dynamic pacing modes (DDD, DDDR, DDDR+) that automatically adjust pacing parameters based on detected physiological conditions. Sensors detect motion, respiration, and other bodily signals to dynamically modify pacing rate and mode, enabling adaptation to sleep, exercise, and other physiological states while maintaining rhythm stability through controlled transitions.

Inventive Principle:
Principle #15Dynamics

3Duration of action of stationary object

If the pacemaker battery is designed to last 7-14 years, then long-term implantation is achieved, but the device must be hermetically sealed preventing easy replacement or service

Engineering Contradiction:
Improvebattery lifetimeVSAvoidhermetic seal requirement
Core Design Contradiction:
Duration of action of stationary objectVSDevice complexity

Solution Approach 1:

The hermetic seal with integrated telemetry circuit enables the device to service itself through wireless programming and diagnostics. The telemetry system allows remote configuration, monitoring, and troubleshooting without requiring device opening or physical access, making the hermetic design self-sufficient for its entire operational lifetime.

Inventive Principle:
Principle #25Self-service

Data Source

PatentEP4539729B1Body sensor network
Publication Date: 2026.04.29 UNIV OF ESSEX ENTERPRISES
  • EP4539729B1 patent drawingFigure 1~2b
  • EP4539729B1 patent drawingFigure 3~4
  • EP4539729B1 patent drawingFigure 5

AI summary

There is provided a system for adaptively capturing physiological data using compressive sensing, the system comprising: a plurality of sensors each configured to sample a respective physiological signal according to a sampling pattern defined by a respective sensing matrix; and a processor configured to: receive sampled data from the plurality of sensors; approximate the physiological signals from the sampled data; identify one or more correlations between the approximated physiological signals; update one or more of the sensing matrices in dependence on the one or more detected correlations; and transmit updated one or more sampling patterns defined by the updated sensing matrices to the respective sensors of the plurality of sensors for use in sampling the respective physiological signals.