Adaptive Biometric Sensor Algorithm for Heart Rate Monitoring

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Solution Overview

Problem

Conventional wearable heart rate detectors require high computation resources and power consumption due to using a universal data sampling rate and calculation algorithm for both rest and exercise states, leading to shortened battery life.

Innovation Solution

An apparatus and method that classify physiological states (rest vs. exercise) using biometric signals like pulse wave and body motion signals, employing different algorithms for each state, with reduced sampling rates and computation demands during rest states, and enhanced processing for exercise states.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a universal data sampling rate and calculation algorithm are used for both rest and exercise states, then the heart rate detection is consistent across different states, but the computation resources and power consumption increase

Engineering Contradiction:

Improveheart rate detection consistencyVSAvoidpower consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent applies dynamics by making the data sampling rate and calculation algorithm adaptable to different physiological states. The system dynamically adjusts the sampling rate (higher during exercise, lower during rest) and selects different algorithms based on real-time detection of body motion and pulse wave signals, thereby optimizing power consumption while maintaining detection reliability across varying activity levels

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes key parameters (sampling rate and algorithm selection) based on the detected physiological state. During exercise states, the system uses higher sampling rates and more complex algorithms, while during rest states, it uses lower sampling rates and simpler algorithms, thus reducing overall power consumption while maintaining accurate heart rate detection

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If a universal data sampling rate and calculation algorithm are used for both rest and exercise states, then the processing is simplified, but the computation resources increase

Engineering Contradiction:

Improveprocessing complexityVSAvoidcomputation resources

Core Design Contradiction:

Device complexityVSPower

Solution Approach 1:

The system dynamically adjusts processing complexity based on physiological state. During rest states, simpler processing algorithms are applied, while during exercise states, more complex processing is used when necessary, thereby optimizing computation resource usage without requiring a universally complex processing system

Inventive Principle:

Principle #15Dynamics

3Use of energy by moving object

If the sampling rate is reduced during rest states, then the power consumption decreases, but the heart rate detection accuracy may be compromised

Engineering Contradiction:

Improvepower consumptionVSAvoidheart rate detection accuracy

Core Design Contradiction:

Use of energy by moving objectVSMeasurement precision

Solution Approach 1:

The system dynamically adjusts the sampling rate based on the detected physiological state. During rest states, a lower sampling rate is used to conserve power, while during exercise states, the sampling rate is increased to maintain accuracy. The state detection mechanism ensures that accuracy is maintained when it matters most (during exercise) while reducing power consumption during rest

Inventive Principle:

Principle #15Dynamics

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 extends battery life by optimizing computation and power usage based on the subject's physiological state, ensuring accurate heart rate calculation while minimizing resource consumption.

Implementation Method 1

the one or more biometric signals comprises at least a pulse wave signal of the subject

Methodology Applied

Scientific EffectPulse wave detection:

Data Source

PatentUS10524676B2Apparatus and method for determining a health parameter of a subject

Publication Date: 2020.01.07 BOE TECHNOLOGY GROUP CO LTD

AI summary

The present application discloses an apparatus for determining a health parameter of a subject. The apparatus includes one or more biometric sensors configured to detect one or more biometric signals of the subject; a memory; and at least one processor. The memory stores computer-executable instructions for controlling the at least one processor to receive the one or more biometric signals from the one or more biometric sensors; classify physiological state of the subject as one of a plurality of physiological states comprising at least a first physiological state and a second physiological state based on the one or more biometric signals, the first physiological state being different from the second physiological state; and calculate the health parameter of the subject using one of a plurality of algorithms comprising at least a first algorithm corresponding to the first physiological state and a second algorithm corresponding to the second physiological state.