Head-Mounted Device Health Metrics via Motion Sensor
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Solution Overview
Problem
Existing head-mounted devices for measuring health metrics face challenges in maintaining form and fit due to additional components, and struggle to determine optimal measurement times without disrupting the wearer's activities.
Innovation Solution
A head-mounted device equipped with a motion sensor that captures pulsatile movements from the carotid arteries to extract features from motion signals, using a neural network to determine appropriate times for measurement and generate health metrics without requiring the wearer to remain still.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional components are added to head-mounted devices for measuring health metrics, then measurement capability is improved, but form and fit are compromised
Solution Approach 1:
The patent combines the health metrics measurement function with the existing head-mounted device structure by integrating a motion sensor into the frame. This merging approach allows the device to measure health metrics (heart rate, respiration rate) without adding separate, bulky measurement components that would compromise form and fit.
2Measurement precision
If the device requires the wearer to remain still for measurement, then measurement accuracy is improved, but ease of operation is worsened
Solution Approach 1:
The patent employs dynamic motion sensing to capture health metrics during natural head movements rather than requiring static conditions. The motion sensor detects physiological signals (cardiac pulse, respiration) through head motion patterns, enabling accurate measurements while the wearer remains active and comfortable.
Solution Approach 2:
The device utilizes the wearer's own natural head movements and physiological patterns as the measurement source. By capturing motion signals during normal activity and extracting health metrics from these signals, the system performs measurement without requiring the wearer to consciously remain still or perform specific actions.
3Ease of operation
If early warning scores are calculated three times a day, then operational simplicity is maintained, but detection of early deterioration is compromised
Solution Approach 1:
The patent enables continuous monitoring of health metrics through ongoing capture and analysis of motion signals. Rather than periodic calculations, the system continuously extracts health metrics from motion data, providing real-time detection of clinical deterioration and enabling timely intervention.
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-intrusive monitoring of health metrics like heart rate and variability, allowing for early detection of clinical deterioration and reducing the need for manual intervention, while maintaining the device's form and functionality.
Implementation Method 1
A head-mounted device equipped with a motion sensor that captures pulsatile movements from the carotid arteries to extract features from motion signals
Data Source
AI summary
The techniques described herein relate to a head-mounted device that includes a frame, a motion sensor coupled to the frame, and a processor in communication with the motion sensor. The processor is configured by instructions to receive motion signals captured by the motion sensor, determine when to extract features from the motion signals, extract the features from the motion signals, generate a signal image from the features extracted from the motion signals, and process the signal image to output one or more health metrics.