Implantable cardiac device adapted to extract a patient's respiratory waveforms from an intrathoracic or intracardiac impedance, pressure and/or accelerometry input stream

• US 10,292,599 B2
• Filed: 04/10/2014
• Issued: 05/21/2019
• Est. Priority Date: 04/16/2013
• Status: Active Grant

• Current Assignee: Biotronik SE & Company KG
• Original Assignee: Biotronik SE & Company KG
• Inventors: de Voir, Christopher S., Moulder, J. Christopher, Lian, Jie, Muessig, Dirk
• Primary Examiner(s): Agahi, Puya
• Application Number:
  US14/249,580
• Publication Number:
  US 20140309539A1
• Time in Patent Office: 1,867 Days
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/283 Invasive
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/686 Permanently implanted devices, e.g. pacemakers, other stimulators, biochips A61B5/6861 takes precedence
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

An implantable cardiac device is provided. The implantable cardiac device includes a sensing unit adapted to measure an intrathoracic or intracardiac impedance, pressure, and/or accelerometry input stream, which includes a patient'"'"'s respiratory waveforms. Furthermore, the implantable cardiac device includes a quantizer-unit adapted to sample the input stream with an initial sampling frequency Fs, providing input samples of the input stream. The implantable cardiac device further includes a filter bank 50 suited to perform a streaming Wavelet transformation on the input samples on a sample-by-sample basis, using the initial sampling frequency Fs provided by the quantizer-unit, wherein the streaming Wavelet transformation is adapted to perform a source separation, extracting, and separating the respiratory waveforms of the input stream.

Claims

1. An implantable cardiac device, comprising:

a device housing;

a sensor adapted to measure a physiological signal input stream, comprising a patient'"'"'s respiratory waveforms;

a quantizer adapted to sample the measured physiological signal input stream with an initial sampling frequency Fs, providing input samples of the measured physiological signal input stream; and

a filter suited to perform a streaming Wavelet transformation on the input samples on a sample-by-sample basis, using the initial sampling frequency Fs provided by the quantizer, wherein the streaming Wavelet transformation is adapted to perform a source separation, extracting, and separating the patient'"'"'s respiratory waveforms of the measured physiological signal input stream, and providing the extracted and separated respiratory waveform as an output waveform via a data output,

wherein the Wavelet transformation is performed in real time without matrix processing,

wherein the initial sampling frequency Fs of the quantizer is adaptable,

wherein the initial sampling frequency Fs of the quantizer is adapted according to a change in a heart rate and/or a change in a breathing rate of the patient,

wherein the sensor, the quantizer and the filter are provided within the device housing, and

wherein the filter is adapted to perform the streaming Wavelet transformation comprising a forward transformation and a backward transformation, wherein during the forward transformation, the streaming Wavelet transformation is performed on each input sample provided by the quantizer generating output data on n different sampling levels, wherein the output data generated on the n different sampling levels is queued and a sampling frequency used to sample an input sample on a sampling level t is equal to 2 times a sampling frequency of a sampling level t−

1, wherein n and t are elements of N⁺.

2. The implantable cardiac device of claim 1, wherein the Wavelet transformation performed by the filter is a Haar Lifting Wavelet Transformation.

3. The implantable cardiac device of claim 1, wherein the filter is provided within a digital signal processing unit.

4. The implantable cardiac device of claim 3, wherein the Wavelet transformation is performed using a recursive algorithm.

5. The implantable cardiac device of claim 1, wherein output data of the sampling level t, that is not needed for a reconstruction of the patient'"'"'s respiratory waveform, is discarded and excluded from a queuing process during performance of the streaming Wavelet transformation, after it has been used for calculation of the output data of the sampling level t−

1.

6. The implantable cardiac device of claim 5, wherein information, whether output data is needed for reconstruction of the patient'"'"'s respiratory waveform, or discarded from the streaming Wavelet transformation, is stored as a Boolean value in an indication vector.

7. The implantable cardiac device of claim 5, wherein during the backward transformation, an upsampling is performed up to a highest sampling level on which output data is retained, wherein the output data of the input samples transformed on the highest sampling level is evaluated with the sampling frequency of the highest sampling level.

8. The implantable cardiac device of claim 1, wherein during the backward transformation, an upsampling of the output data generated during the forward transformation is performed beyond a sampling level of the initial sampling frequency Fs used within the forward transformation and evaluated on the sampling level.

9. The implantable cardiac device of claim 1, wherein within the backward transformation, the output data of at least two different transformed input samples of a same input stream is upsampled to a same sampling frequency and evaluated simultaneously with the sampling frequency they have been upsampled to.

10. The implantable cardiac device of claim 1, wherein a parameter and/or a probabilistic function is computed for at least one input sample, wherein the computed parameter or the computed probabilistic function provides information about at least one of a predefined characteristic of the at least one input sample, statistical distribution of the at least one input sample and a statistical distribution related to the at least one input sample.

11. The implantable cardiac device of claim 10, wherein the computed parameter and/or the computed probabilistic function is stored in a vector.

12. The implantable cardiac device of claim 10, wherein the computed parameter represents an average energy of a respective input sample or a scale value used during the streaming Wavelet transformation of the respective input sample.

13. The implantable cardiac device of claim 1, wherein the physiological signal input stream is one of a intrathoracic or intracardiac impedance, a pressure, or a accelerometry signal.