Contactless HRV Monitoring via Under-Mattress Vibration Sensing

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Solution Overview

Problem

Current heart rate variability (HRV) monitoring methods require physical contact, such as electrodes or chest straps, which can be irritating and cumbersome, and lack easy, automated data interpretation for improving performance efficiency.

Innovation Solution

A contactless heart-rate monitoring system using a sensor under the mattress to detect heart rate variability, processing data automatically and providing user-friendly insights through a networked device without physical contact.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If contactless monitoring is used, then ease of operation is improved, but measurement precision deteriorates

Engineering Contradiction:
Improveease of useVSAvoidmeasurement accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent introduces an intermediary sensor system (accelerometer, gyroscope, barometer) that indirectly measures heart rate variability through motion and pressure changes rather than direct physiological contact. This mediator approach enables contactless monitoring while maintaining acceptable measurement precision for HRV analysis.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces direct mechanical/electrical contact sensors (electrodes, chest straps) with inertial sensors (accelerometers, gyroscopes) and pressure sensors that detect motion and position changes. This substitution eliminates skin contact while capturing physiological signals through mechanical motion analysis.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated data processing is implemented, then productivity is improved, but device complexity increases

Engineering Contradiction:
Improvedata processing efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent performs preliminary data processing and filtering within the mobile device or server before presenting results to the user. HRV metrics are calculated automatically from raw sensor data, and actionable insights are prepared in advance, reducing the need for complex real-time processing during monitoring.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system automatically processes and interprets HRV data without requiring user intervention or manual analysis. The device self-manages data collection, processing, and presentation of results, enabling high productivity while keeping the user interface simple despite complex backend operations.

Inventive Principle:
Principle #25Self-service

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

Enables continuous, non-invasive HRV monitoring, providing intuitive data for performance improvement by eliminating skin irritation and cumbersome data analysis, suitable for various populations including vulnerable individuals.

Implementation Method 1

Peaks in ballistocardiogram or electrocardiogram may occur, for example, at beat-to-beat intervals

Methodology Applied
Scientific EffectBallistocardiogram:

Implementation Method 2

A contactless heart-rate monitoring system using a sensor under the mattress to detect heart rate variability

Methodology Applied
Scientific EffectVibration: Vibration

Data Source

PatentUS20250344961A1Heart rate monitoring device, system, and method for increasing performance improvement efficiency
Publication Date: 2025.11.13 EMFIT
  • US20250344961A1 patent drawing
  • US20250344961A1 patent drawing
  • US20250344961A1 patent drawing

AI summary

A heart-rate monitoring system for a monitoring subject for increasing a performance improvement efficiency by the monitoring subject includes a heart-rate monitoring device having a sensor. The sensor is not in direct physical contact with the monitoring subject. The sensor provides sensing data; the heart-rate monitoring device calculates, from the sensing data, monitoring data relative to heart rate variability of the monitoring subject. The system includes an application server processing the monitoring data to calculate processed data and a user device for displaying the processed data in a format that increases the performance improvement efficiency by the monitoring subject.