Method for synchronizing biological signals from different monitoring devices

Inventors

Ruchti, TimothyEHRENBERG, Joshua AndrewLIN, Abel

Assignees

Nihon Kohden Digital Health Solutions LLC

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Publication Number

US-12458294-B2

Patent

Publication Date

2025-11-04

Expiration Date


Abstract

A method for time-synchronizing waveforms from different patient monitors that does not require devices to have high-precision synchronized clocks or to be coupled to a triggering synchronization signal generator. Comparable signals may be obtained from different devices either by placing selected sensors from the devices in the same locations, or by filtering signals from one device to obtain a signal comparable to signals from another device. Filtering may for example transform waveforms into independent components and identify a component that matches a signal from another device. The comparable signals may then be transformed into frequency variation curves, such as time intervals between peak values, to facilitate detection of the time shift between the signals. Cross correlation of the frequency variation curves may be used to locate the precise time shift between the signals. Use of frequency variation curves may be more robust than directly comparing and correlating the original signals.

Core Innovation

The invention relates to a method for synchronizing biological signals from different monitoring devices coupled to a patient. The method obtains one or more first device signals from a first device and one or more second device signals from a second device, generates a first comparable signal and a second comparable signal from the respective device signals, and calculates a first frequency variation signal and a second frequency variation signal from the comparable signals. Synchronized device signals are derived by applying a time shift to one set of device signals.

The invention addresses synchronization when biological signals originate from independently operating monitoring devices over a network with variable latency and without a high-precision shared clock or common trigger. The method time-aligns physiological signals by determining a time shift that aligns the first frequency variation signal with the second frequency variation signal, while maintaining the second device signals unchanged.

In a described physiological embodiment, the first device comprises a heart monitor and the second device comprises a brain monitor. The comparable heart activity signal is used to compute frequency-variation signals, where the frequency-variation signal comprises RR-interval signal time differences between peaks of R-waves of the heart activity signal, and the second device signals are transformed into comparable signals using independent components or matched filtering using a reference signal.

Claims Coverage

The provided content contains two independent claims. Each independent claim covers generating comparable signals from first and second device signals, calculating frequency-variation signals from those comparable signals, determining a time shift to align the frequency-variation signals, and outputting synchronized device signals including the first device signals shifted by the time shift; one independent claim additionally specifies cross-correlation over a series of time offsets.

Generating comparable signals and frequency variation signals

Generating a first comparable signal from said one or more first device signals; generating a second comparable signal from said one or more second device signals; calculating a first frequency variation signal from said first comparable signal; and calculating a second frequency variation signal from said second comparable signal.

Aligning using a time shift to form synchronized device signals

Calculating a time shift applied to said first frequency variation signal that aligns said first frequency variation signal with said second frequency variation signal; and generating synchronized device signals comprising said one or more first device signals shifted by said time shift; and said one or more second device signals.

Heart and brain monitor embodiment with RR-interval frequency variation

Wherein said first device comprises a heart monitor; wherein said one or more first device signals comprise one or more heart monitor signals; wherein said second device comprises a brain monitor; wherein said one or more second device signals comprise one or more brain monitor signals; wherein said first comparable signal comprises a first heart activity signal; wherein said second comparable signal comprises a second heart activity signal; wherein said first frequency variation signal comprises a first RR-interval signal comprising time differences between peaks of R-waves of said first heart activity signal; and wherein said second frequency variation signal comprises a second RR-interval signal comprising time differences between peaks of R-waves of said second heart activity signal.

Cross-correlation over time offsets selecting time shift

Calculating said time shift applied to said first frequency variation signal that aligns said first frequency variation signal with said second frequency variation signal comprises calculating a cross correlation at a series of time offsets between said first frequency variation signal, offset in time by each time offset of said series of time offsets, and said second frequency variation signal; and calculating said time shift as a time offset corresponding to a maximum value of said cross correlation.

Across the independent claims, synchronization is achieved by generating comparable signals from signals of a first device and a second device, converting each comparable signal into a frequency-variation signal, computing a time shift that aligns the two frequency-variation signals, and outputting synchronized device signals by shifting the first device signals. The second independent claim further limits the alignment computation to cross-correlation evaluated over a series of time offsets with selection of the offset corresponding to a maximum cross-correlation value.

Stated Advantages

Provides robustness over correlating quasi-periodic raw signals, as described in connection with cross-correlation using frequency-variation signals.

Example results indicate degradation in performance when signals are misaligned, as described with ROC degradation.

Documented Applications

Cross-device physiological synchronization for heart monitor ECG and brain monitor EEG, including extracting cardiac-related information from EEG and deriving synchronized analyses.

Joint ECG-EEG analysis for at least one of: myocardial infarction classifier, epileptic seizures prediction, respiratory failure, and cardiac collapse, as described in the provided material.

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