IP Library Granted Patent US 12,343,130
Granted Patent B2
US 12,343,130 · App. 16/002,635 · Granted Jul 1, 2025

Spacing of electrodes for bioimpedance measurements

Inventors: Jenny Freeman (Weston, MA); Jordan Brayanov (Medford, MA); Mark H. Strong (Dover, MA); Nicholas Aranow (Dedham, MA)
Assignee: Respiratory Motion, Inc.
A61B5/053A61B5/0002A61B5/282A61B5/296A61B5/6823A61B5/6833A61B5/7221A61B5/0006A61B5/086A61B5/091A61B5/7203A61B2503/045A61B2560/0238A61B2560/0475A61B2562/0215A61B2562/04A61B2562/085A61B2562/14
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Quick Facts
Patent No.
US 12,343,130
App. No.
16/002,635
Granted
Jul 1, 2025
Kind
B2
Abstract

An electrode padset and a method of using the electrode padset are disclosed herein. The electrode padset is a single unit, consisting of multiple patient-contacting conductive pads arranged on a single piece of material. The padset is comprised of a plurality of conductive pads, at least one conductive pad adapted to emit an electrical signal and at least one other conductive pad adapted to receive an electrical signal, and an electrically conductive material coupling the conductive pads.

Claims (59)

1. A system for measuring bioimpedance signals, comprising:

an electrode padset selected from at least two different sized electrode padsets;

a microprocessor coupled to the electrode padset in communication with and adapted to receive bioimpedance signals from the electrode padset, and to measure the bioimpedance of a patient;

a data receiver coupled to the microprocessor; and

software executing on the microprocessor, wherein the software:

determines the size of the electrode padset based on data received by the microprocessor;

determines a known parasitic impedance based on the electrode padset that was selected; and

mitigates the known parasitic impedance of the electrode padset;

wherein the electrode padset comprises:

at least two thoracic electrode pads, each thoracic electrode pad having a pair of electrodes; and

an electrically conductive material coupling at least one thoracic electrode pad to at least one other thoracic electrode pad.

2. The system of claim 1 , wherein each thoracic electrode pad has a known distance between the pairs of electrodes.

3. The system of claim 2 , wherein the distance is at least 35 mm.

4. The system of claim 1 , wherein the software executing on the microprocessor is adapted to automatically determine which-electrode padsets is in communication with the microprocessor.

5. The system of claim 1 , wherein the microprocessor determines a level of parasitic impedance and at least one of reports the determined level of parasitic impedance and does not display either impedance measurements or secondary derived impedance measurements.

6. The system of claim 1 , wherein the microprocessor outputs respiratory volume measurements.

7. The system of claim 1 , wherein at least one electrode padset is adapted to fit a neonate.

8. The system of claim 1 , wherein each electrode padset is one of directly coupled to the microprocessor or is in wireless communication with the microprocessor.

9. The system of claim 1 , wherein each electrode padset is a single unit.

10. The system of claim 1 , wherein each electrode padset is adapted to acquire at least one of electrical bioimpedance (thoracic or cardiac), electrocardiogramalectroencephalography (EEG), and electromyography (EMG) signals.

11. The system of claim 1 , wherein each electrode padset is adapted to acquire at least one channel of tetrapolar transthoracic bioimpedance signals.

12. The system of claim 11 , wherein there are at least two bioimpedance channels and the bioimpedance channels are oriented at an angle between 0 and 90 degrees to each other.

13. The system of claim 1 , wherein each electrode padset is adapted to acquire a bilateral transthoracic bioimpedance signal.

14. The system of claim 1 , wherein each electrode padset further comprises a memory chip adapted to transmit data to the data receiver.

15. The system of claim 14 , wherein the memory chip stores at least one of calibration data, production data, patient data, expiration date data, and electrode padset data.

16. The system of claim 14 , wherein the memory chip is capable of wireless communication.

17. The system of claim 14 , wherein memory chip is passive or is active and couplable to an internal or external power supply.

18. The system of claim 1 , wherein the data receiver is an input device and the size of the electrode padset coupled to the microprocessor is input by a user.

19. A method of obtaining a bioimpedance signal, comprising:

selecting an electrode padset from at least two different sized electrode padsets for use on a patient, wherein each sized electrode padset has a known parasitic impedance;

coupling the selected electrode padset to a microprocessor and the patient;

executing software on the microprocessor, wherein the software is adapted to remove the parasitic impedance of the selected electrode padset based on the selected electrode padset's geometry;

delivering a current to the patient via the selected electrode padset;

receiving the current from the patient via the selected electrode padset;

filtering out the parasitic impedance;

determining the impedance of the patient;

calculating at least one respiratory volume measurement of the patient; and

outputting the at least one respiratory volume measurement of the patient.

20. The method of claim 19 , wherein the microprocessor autodectects the selected padset.

21. The method of claim 19 , further comprising informing the microprocessor of the selected padset.

22. The method of claim 19 , further comprising inputting patient information into the microprocessor.

23. The method of claim 19 , wherein each respiratory volume measurement is one of tidal volume or minute volume.

24. The method of claim 19 , wherein each padset is comprised of:

a pair of sternal electrodes;

a pair of side electrodes;

a xiphoid electrode; and

an electrically conductive material coupling the pair of sternal electrodes and the pair of side electrodes to the xiphoid electrode.

25. The method of claim 24 , wherein the padset's geometry comprises a first distance between the pair of sternal electrodes and a second distance between the pair of side electrodes.

26. The method of claim 19 , wherein each padset is adapted to fit a neonate.

27. The method of claim 19 , wherein each padset is one of directly coupled to the microprocessor or is in wireless communication with the microprocessor.

28. The method of claim 19 , wherein each padset is a single unit.

29. The method of claim 19 , wherein each padset is adapted to acquire at least one of electrical bioimpedance (thoracic or cardiac), electrocardiography (ECG), electroencephalography (EEG), and electromyography (EMG) signals.

30. The method of claim 19 , wherein each padset is adapted to acquire at least one channel of tetrapolar transthoracic bioimpedance signals.

31. The method of claim 30 , wherein there are at least two bioimpedance channels and the bioimpedance channels are oriented at an angle between 0 and 90 degrees to each other.

32. The method of claim 19 , wherein each padset is adapted to acquire a bilateral transthoracic bioimpedance signal.

33. The method of claim 19 , wherein each padset comprises a memory chip.

34. The method of claim 33 , wherein the memory chip stores at least one of calibration data, production data, patient data, expiration date data, and padset data.

35. The method of claim 33 , wherein the memory chip is capable of wireless communication.

36. The method of claim 33 , wherein memory chip is passive and is couplable to an internal or external power supply.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 12, 2018
From: FREEMAN, JENNY E.; BRAYANOV, JORDAN; STRONG, MARK H.; ARANOW, NICHOLAS
To: RESPIRATORY MOTION, INC.
Reel/Frame 046851/0703 →
Continuity (6)
Continuation In Part 14021939 · Sep 9, 2013
Provisional Application 62516295 · Jun 7, 2017
Provisional Application 61808509 · Apr 4, 2013
Provisional Application 61698289 · Sep 7, 2012
Provisional Application 61698257 · Sep 7, 2012
Related Publication 20180279903A1 · Oct 4, 2018
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