Sleep Analysis Using ECG and Accelerometer Signals
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Solution Overview
Problem
Current sleep analysis methods are either invasive and inconvenient, limiting subject activity, or overly simplistic and inaccurate, failing to provide reliable comparisons to conventional polysomnography.
Innovation Solution
A sleep analysis system incorporating a sleep sensing apparatus with an ECG signal collector, multi-axial accelerometer, and wireless transmitting unit, which collects and transmits signals to an analysis device for accurate sleep mode analysis, replacing EMG with activity signals and EEG with HRV analysis to distinguish REM and NREM sleep.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional polysomnography with multiple electrodes and wires is used, then measurement precision is improved, but ease of operation deteriorates due to limited subject activity and inconvenience
Solution Approach 1:
The patent extracts and eliminates the need for multiple electrodes and conducting wires by using a single ECG sensor combined with accelerometer data. This extraction of unnecessary components resolves the contradiction by maintaining measurement precision through alternative signal processing while significantly improving ease of operation and subject mobility.
Solution Approach 2:
The patent applies multi-functionality by using a single wearable device that combines ECG monitoring, acceleration sensing, and wireless communication capabilities. This universal device replaces the need for multiple specialized electrodes and wires, thereby improving both measurement precision through integrated sensing and ease of operation through simplified wearability.
2Ease of operation
If simple watch-based sleep monitoring is used, then ease of operation is improved, but measurement precision deteriorates due to insufficient accuracy
Solution Approach 1:
The patent combines multiple types of sensing data (ECG signals and accelerometer data) to create a composite measurement approach. This composite methodology maintains the ease of operation of simple wearable devices while improving measurement precision by integrating multiple physiological indicators for more accurate sleep stage classification.
Solution Approach 2:
The patent changes the parameters used for sleep analysis by transitioning from simple motion detection to comprehensive ECG-based heart rate variability analysis combined with acceleration data. This parameter transformation enables simple wearable devices to achieve measurement precision comparable to conventional polysomnography.
3Ease of operation
If ECG signals and multi-axial accelerometer signals are collected and transmitted wirelessly, then ease of operation is improved, but use of energy increases due to continuous data transmission
Solution Approach 1:
The patent implements periodic action by transmitting data in intervals rather than continuously. The wearable device collects ECG and acceleration data locally and transmits processed information periodically to the server, thereby maintaining wireless monitoring convenience while significantly reducing battery consumption compared to continuous transmission.
Data Source
AI summary
The invention provides a sleep analysis system and a method for analysis thereof. The sleep analysis system includes an analysis device and a sleep sensing apparatus. The sleep sensing apparatus includes an ECG signal collector, a multi-axial accelerometer, a wireless transmitting unit, and a control unit. The ECG signal collector is used for collecting an ECG signal associated with a subject. The multi-axial accelerometer is used for detecting a multi-axial accelerometer signal associated with the subject. The control unit controls the wireless transmitting unit to transmit the ECG signal and the multi-axial accelerometer signal to the analysis device for analyzing sleep of the subject.