Compressed-sensing of spatiotemporally-correlated and/or rakeness-processed electrograms

Patent metadata

Field	Value
Publication number	US-2020337579-A1
Application number	US-202016846551-A
Country	US
Kind code	A1
Filing date	Apr 13, 2020
Priority date	Apr 25, 2019
Publication date	Oct 29, 2020
Grant date	—

Abstract

An apparatus includes data acquisition circuitry and a processor. The data acquisition circuitry is configured to acquire multiple signals using multiple respective electrodes of an array of electrodes coupled to one of an organ of a patient and tissue or a cell culture. The processor is configured to hold a definition of a mixed-norm that is defined as a function of relative positions of the electrodes in the array, and jointly compress the multiple signals in a compressed-sensing (CS) process that minimizes the mixed-norm.

First claim

1 . An apparatus, comprising:
data acquisition circuitry configured to acquire multiple signals using multiple respective electrodes of an array of electrodes coupled to one of (i) an organ of a patient and (ii) tissue or cell culture; and a processor, which is configured to:
hold a definition of a mixed-norm that is defined as a function of relative positions of the electrodes in the array; and
jointly compress the multiple signals in a compressed-sensing (CS) process that minimizes the mixed-norm.

2 . The apparatus according to claim 1 , wherein the signals are one of atrial electrograms and ventricular electrograms.

3 . The apparatus according to claim 1 , wherein the signals are electroencephalograms.

4 . The apparatus according to claim 1 , wherein the data acquisition circuitry is further configured to apply respective pseudo-random sequences to the signals so as to increase sparsity and incoherence of a measurement matrix Φ, and wherein the processor is configured to minimize the mixed-norm for the measurement matrix Φ having the increased sparsity and incoherence.

5 . The apparatus according to claim 4 , wherein the data acquisition circuitry comprises a pseudo-random binary noise (PRBS) generator for generating the pseudo-random sequences.

6 . The apparatus according to claim 4 , wherein the data acquisition circuitry comprises a Walsh-Hadamard orthogonal coding (WHOC) generator for generating the pseudo-random sequences.

7 . The apparatus according to claim 1 , wherein, the data acquisition circuitry is further configured to spectrally spread the input signal.

8 . The apparatus according to claim 1 , wherein the data acquisition circuitry comprises a single analog-to-digital convertor (ADC) configured to convert the multiple signals into digital signals.

9 . The apparatus according to claim 1 , and comprising a wireless unit configured to transmit the compressed signals to a base station.

10 . The apparatus according to claim 1 , and comprising a wearable package containing the data acquisition circuitry and the processor.

11 . An apparatus, comprising:
data acquisition circuitry configured to acquire multiple signals using multiple respective electrodes of an array of electrodes coupled to one of (i) an organ of a patient and (ii) tissue or cell culture, the data acquisition circuitry comprising a pseudo-random bit sequence generator and a modulator, the pseudo-random bit sequence generator configured to drive the modulator, thereby simultaneously acquiring the signals and suppressing flicker noise of a front-end of the signal acquisition circuitry; and a processor, which is configured to:
hold a definition of a mixed-norm that is defined as a function of relative positions of the electrodes in the array;
jointly compress the multiple signals in a spatial domain and in a time domain; and
reconstruct the multiple signals using the mixed-norm in a recovery algorithm which takes into account signals energies.

12 . A method, comprising:
acquiring multiple signals using multiple respective electrodes of an array of electrodes coupled to one of (i) an organ of a patient and (ii) tissue or cell culture; holding a definition of a mixed-norm that is defined as a function of relative positions of the electrodes in the array; and jointly compressing the multiple signals in a compressed-sensing (CS) process that minimizes the mixed-norm.

13 . The method according to claim 12 , wherein the signals are one of atrial electrograms and ventricular electrograms.

14 . The method according to claim 12 , wherein the signals are electroencephalograms.

15 . The method according to claim 12 , and comprising applying respective pseudo-random sequences to the signals so as to increase sparsity and incoherence of a measurement matrix Φ, wherein jointly compressing the multiple signals comprises minimizing the mixed-norm for the measurement matrix Φ having the increased sparsity and incoherence.

16 . The method according to claim 15 , wherein the pseudo-random sequences comprise pseudo-random binary noise (PRBS) sequences for generating the pseudo-random sequences.

17 . The method according to claim 15 , wherein the pseudo-random sequences comprise Walsh-Hadamard orthogonal coding (WHOC) sequences for generating the pseudo-random sequences.

18 . The method according to claim 12 , and comprising spectrally spreading the input signal.

19 . The method according to claim 12 , wherein acquiring the multiple signals comprises converting the multiple signals into digital signals using a single analog-to-digital convertor (ADC).

20 . The method according to claim 12 , and comprising wirelessly transmitting the compressed signals to a base station.

21 . The method according to claim 12 , wherein acquiring and jointly compressing the multiple signals comprises wearing a device configured for acquiring and jointly compressing multiple signals.

Assignees

• Biosense Webster Israel Ltd
• Stichting Technische Wetenschappen
• Univ Delft Tech

Inventors

• Auerbach Shmuel
• Serdijn Wouter A
• Rout Samprajani

Classifications

• A61B5/308

  for electrocardiography [ECG] · CPC title

• A61B5/7232 Primary

  involving compression of the physiological signal, e.g. to extend the signal recording period · CPC title

• A61B5/0006 Primary

  ECG or EEG signals · CPC title

• A61B5/0004

  characterised by the type of physiological signal transmitted · CPC title

• A61B5/369

  Electroencephalography [EEG] · CPC title