IP Library Granted Patent US 12,685,487
Granted Patent B2
US 12,685,487 · App. 17/021,489 · Granted Jul 21, 2026

Determining heart condition statuses using subcutaneous impedance measurements

Inventors: Shantanu Sarkar (Roseville, MN); Todd M. Zielinski (Ham Lake, MN); Brian B. Lee (Golden Valley, MN); Val D. Eisele, III (Little Canada, MN); Eduardo N. Warman (Maple Grove, MN)
Assignee: Medtronic, Inc.
A61B5/686A61B5/0245A61B5/7275A61B5/7278A61B5/0538A61B5/4839A61B2562/0209A61N1/36521A61N1/3956A61N1/3987
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Quick Facts
Patent No.
US 12,685,487
App. No.
17/021,489
Granted
Jul 21, 2026
Kind
B2
Abstract

Techniques for obtaining impedance data to provide an early warning for heart failure decompensation are described. An example device may be configured to measure subcutaneous impedance values, and increment an impedance score. In some examples, the device may use an adaptive threshold and fluid index in incrementing the impedance score. In some examples, the impedance score is compared to a threshold to determine a heart failure status of a patient.

Claims (78)

1 . A system for detecting statuses of heart failure of a patient, the system comprising:

an implantable medical device (IMD) comprising a housing and a plurality of electrodes on the housing, the housing and the plurality of electrodes configured for subcutaneous implantation, wherein the IMD is configured to determine one or more impedance signals of subcutaneous interstitial fluid measured using only the plurality of electrodes on the housing, wherein the plurality of electrodes are positioned within 5 centimeters (cm) apart on the housing; and

processing circuitry configured to periodically:

determine, based at least in part on the one or more impedance signals, at least one first tissue impedance value that corresponds to a first time period;

determine, based at least in part on the one or more impedance signals, at least one second tissue impedance value that corresponds to a second time period different from the first time period;

determine, based at least in part on the at least one first tissue impedance value, one or more reference impedance values;

determine one or more fluid index values based at least in part on the one or more reference impedance values and the at least one second tissue impedance value;

determine an adaptive threshold based on an absolute impedance value of at least one of the one or more impedance signals;

perform a comparison of the one or more fluid index values and the adaptive threshold;

determine an impedance score based at least in part on the comparison; and

determine a heart failure status of the patient based at least in part on the impedance score.

2 . The system of claim 1 , wherein the plurality of electrodes are configured to contact the subcutaneous interstitial fluid.

3 . The system of claim 1 , wherein the processing circuitry is further configured to:

determine the one or more reference impedance values by at least determining a statistical representation of the at least one first tissue impedance value corresponding to the first time period.

4 . The system of claim 1 , wherein the processing circuitry is further configured to:

maintain a buffer of relative changes in the one or more impedance signals over time; and

determine the one or more fluid index values based at least in part on the buffer, the one or more reference impedance values and the at least one second tissue impedance value.

5 . The system of claim 4 , wherein the processing circuitry is further configured to:

perform a comparison of the at least one second tissue impedance value to the one or more reference impedance values; and

modify the buffer based at least in part on the comparison.

6 . The system of claim 1 , wherein the processing circuitry is further configured to:

identify a first fluid index calculation to determine at least a first subset of the one or more fluid index values; and

identify a second fluid index calculation to determine at least a second subset of the one or more fluid index values,

wherein identification is based at least in part on a number of fluid index values that have satisfied a fluid index threshold over time.

7 . The system of claim 1 , wherein the processing circuitry is further configured to:

modify the impedance score in response to the one or more fluid index values satisfying one or more scoring thresholds for at least one of: a predetermined amount of time or a predetermined number of times.

8 . The system of claim 1 , wherein the processing circuitry is further configured to:

identify a resolution parameter for determining at least one of: the at least one first tissue impedance value, the one or more reference impedance values, or the at least one second tissue impedance value.

9 . The system of claim 1 , wherein the processing circuitry is further configured to:

exclude a subset of impedance signals from the one or more impedance signals when determining at least one of: the at least one first tissue impedance value or the at least one second tissue impedance value.

10 . The system of claim 1 , wherein the processing circuitry is further configured to:

compare the impedance score to one or more risk thresholds; and

generate an alert in response to the impedance score satisfying at least one of the one or more risk thresholds.

11 . The system of claim 1 , wherein at least two electrodes of the plurality of electrodes are positioned on the housing to face a skin layer of the patient when the IMD is subcutaneously implanted.

12 . The system of claim 1 , wherein at least two electrodes of the plurality of electrodes are separated by a fixed distance.

13 . The system of claim 1 , wherein the processing circuitry is further configured to:

exclude a subset of impedance signals from the one or more impedance signals based on a determination that the subset of impedance signals includes a particular characteristic.

14 . The system of claim 1 , wherein to determine, based at least in part on the one or more impedance signals, at least one second tissue impedance value that corresponds to a second time period different from the first time period, the processing circuitry is configured to determine, based at least in part on the one or more impedance signals, a plurality of second tissue impedance values that correspond to the second time period different from the first time period, and wherein the processing circuitry is further configured to:

determine a variability of the plurality of second tissue impedance values; and

adjust the one or more fluid index values based on the variability of the plurality of second tissue impedance values.

15 . The system of claim 1 , wherein to determine the adaptive threshold the processing circuitry is further configured to:

determine the adaptive threshold to be proportional to the absolute impedance value and an intra-day variation in the one or more impedance signals.

16 . The system of claim 1 , wherein the processing circuitry is further configured to:

modify the impedance score in response to the one or more fluid index values satisfying one or more scoring thresholds for a predetermined amount of time.

17 . The system of claim 1 , wherein the processing circuitry is further configured to:

determine the at least one second tissue impedance value is less than the one or more reference impedance values;

in response to the determination that the at least one second tissue impedance value is less than the one or more reference impedance values:

determine the adaptive threshold based on at least one of a mean or median of an absolute impedance value of the one or more impedance signals of subcutaneous interstitial fluid during a particular period of time, the particular period of time being within 30 days prior to a measurement of the one or more impedance signals of subcutaneous interstitial fluid; and

modify the impedance score based on the comparison of the one or more fluid index values to the adaptive threshold.

18 . A method for controlling operation of processing circuitry of a system, the method comprising:

determining, by the processing circuitry and for a first time period, at least one reference impedance value based at least in part on one or more impedance signals of subcutaneous interstitial fluid received from an implantable medical device (IMD) comprising a housing and a plurality of electrodes on the housing, the one or more impedance signals of subcutaneous interstitial fluid being measured using only the plurality of electrodes on the housing, wherein the plurality of electrodes are positioned within 5 centimeters (cm) apart on the housing, and the housing and the plurality of electrodes are implanted in a subcutaneous layer of a patient;

determining, by the processing circuitry and for a second time period different from the first time period, at least one other impedance value based at least in part on the one or more impedance signals received from the plurality of electrodes;

determining, by the processing circuitry and based at least in part on the at least one reference impedance value and the at least one other impedance value, one or more fluid index values of the patient;

determining, by the processing circuitry, an adaptive threshold based on an absolute impedance value of at least one of the one or more impedance signals;

performing, by the processing circuitry, a comparison of the one or more fluid index values and the adaptive threshold;

determining, by the processing circuitry, an impedance score based at least in part on the comparison; and

determining, by the processing circuitry, a heart failure status of the patient based at least in part on the impedance score.

19 . The method of claim 18 , wherein the plurality of electrodes are implanted in a thoracic region of the patient.

20 . The method of claim 18 , wherein determining the one or more fluid index values further comprises determining a statistical representation of the at least one reference impedance value.

21 . The method of claim 18 , wherein determining the one or more fluid index values further comprises accessing a buffer that includes relative changes in the one or more impedance signals over time.

22 . The method of claim 18 , further comprising:

modifying the impedance score in response to the one or more fluid index values satisfying one or more scoring thresholds for at least one of: a predetermined amount of time or a predetermined number of times.

23 . The method of claim 18 , further comprising:

determining a statistical representation of at least one of: the at least one reference impedance value or the at least one other impedance value; and

modifying the impedance score in response to the statistical representation satisfying an impedance threshold amount.

24 . The method of claim 18 , further comprising:

identifying a first fluid index calculation when determining at least a first subset of the one or more fluid index values; and

identifying a second fluid index calculation when determining at least a second subset of the one or more fluid index values.

25 . The method of claim 18 , further comprising:

identifying a resolution parameter for determining at least one of: the at least one reference impedance value or the at least one other impedance value.

26 . A non-transitory computer-readable storage medium having stored thereon instructions that, when executed, cause one or more processors to at least:

determine, for a first time period, at least one reference impedance value based at least in part on one or more impedance signals of subcutaneous interstitial fluid sensed via a plurality of electrodes disposed on a housing of an implantable medical device (IMD) implanted in a subcutaneous layer of a patient, the one or more impedance signals of subcutaneous interstitial fluid being measured using only the plurality of electrodes disposed on the housing, wherein the plurality of electrodes are positioned within 5 centimeters (cm) apart on the housing;

determine, for a second time period different from the first time period, at least one other impedance value based at least in part on the one or more impedance signals received from the plurality of electrodes;

determine, based at least in part on the at least one reference impedance value and the at least one other impedance value, one or more fluid index values;

determine an adaptive threshold based on an absolute impedance value of at least one of the one or more impedance signals;

perform a comparison of the one or more fluid index values and the adaptive threshold;

determine, based at least in part on the comparison, an impedance score of the patient; and

output a heart failure status of the patient based at least in part on the impedance score.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 15, 2020
From: SARKAR, SHANTANU; ZIELINSKI, TODD M.; LEE, BRIAN B.; EISELE III, VAL D.; WARMAN, EDUARDO N.
To: MEDTRONIC, INC.
Reel/Frame 053776/0468 →
Continuity (2)
Provisional Application 62906973 · Sep 27, 2019
Related Publication 20210093253A1 · Apr 1, 2021
References Cited (231)
US 3724455A · Unger · 1973 [cited by examiner]
US 3872252A · Malchman · 1975 [cited by examiner]
US 4108166A · Schmid · 1978 [cited by examiner]
US 4374382A · Markowitz · 1983 [cited by applicant]
US 4823797A · Heinze et al. · 1989 [cited by applicant]
US 5107833A · Barsness · 1992 [cited by applicant]
US 5117824A · Keimel et al. · 1992 [cited by applicant]
US 5168871A · Grevious · 1992 [cited by applicant]
US 5271395A · Wahlstrand et al. · 1993 [cited by applicant]
US 5292343A · Blanchette et al. · 1994 [cited by applicant]
US 5314450A · Thompson · 1994 [cited by applicant]
US 5324315A · Grevious · 1994 [cited by applicant]
US 5354319A · Wybory et al. · 1994 [cited by applicant]
US 5383909A · Keimel · 1995 [cited by applicant]
US 5545186A · Olson et al. · 1996 [cited by applicant]
US 5755736A · Gillberg et al. · 1998 [cited by applicant]
US 5836975A · DeGroot · 1998 [cited by applicant]
US 5876353A · Riff · 1999 [cited by applicant]
US 5957861A · Combs et al. · 1999 [cited by applicant]
US 6045513A · Stone et al. · 2000 [cited by applicant]
US 6102874A · Stone et al. · 2000 [cited by applicant]
US 6104949A · Crick et al. · 2000 [cited by applicant]
US 6148233A · Owen et al. · 2000 [cited by applicant]
US 6154674A · Meier · 2000 [cited by applicant]
US 6221011B1 · Bardy · 2001 [cited by applicant]
US 6263243B1 · Lang · 2001 [cited by applicant]
US 6277072B1 · Bardy · 2001 [cited by applicant]
US 6280380B1 · Bardy · 2001 [cited by applicant]
US 6280409B1 · Stone et al. · 2001 [cited by applicant]
US 6336903B1 · Bardy · 2002 [cited by applicant]
US 6405085B1 · Graupner et al. · 2002 [cited by applicant]
US 6449509B1 · Park et al. · 2002 [cited by applicant]
US 6459929B1 · Hopper et al. · 2002 [cited by applicant]
US 6463326B1 · Hartley et al. · 2002 [cited by applicant]
US 6473640B1 · Erlebacher · 2002 [cited by applicant]
US 6480733B1 · Turcott · 2002 [cited by applicant]
US 6512949B1 · Combs et al. · 2003 [cited by applicant]
US 6572557B2 · Tchou et al. · 2003 [cited by applicant]
US 6595927B2 · Pitts-Crick et al. · 2003 [cited by applicant]
US 6599250B2 · Webb et al. · 2003 [cited by applicant]
US 6671549B2 · Van Dam et al. · 2003 [cited by applicant]
US 6709390B1 · Marie Pop · 2004 [cited by applicant]
US 6821249B2 · Casscells, III et al. · 2004 [cited by applicant]
US 6866629B2 · Bardy · 2005 [cited by applicant]
US 6895275B2 · Markowitz et al. · 2005 [cited by applicant]
US 6907288B2 · Daum · 2005 [cited by applicant]
US 6931272B2 · Burnes · 2005 [cited by applicant]
US 6945934B2 · Bardy · 2005 [cited by applicant]
US 6960167B2 · Bardy · 2005 [cited by applicant]
US 7020521B1 · Brewer et al. · 2006 [cited by applicant]
US 7127290B2 · Girouard et al. · 2006 [cited by applicant]
US 7177681B2 · Zhu · 2007 [cited by applicant]
US 7184821B2 · Belalcazar et al. · 2007 [cited by applicant]
US 7248916B2 · Bardy · 2007 [cited by applicant]
US 7272442B2 · Freeberg · 2007 [cited by applicant]
US 7308309B1 · Koh · 2007 [cited by applicant]
US 7310551B1 · Koh et al. · 2007 [cited by applicant]
US 7313434B2 · Belalcazar et al. · 2007 [cited by applicant]
US 7340296B2 · Stahmann et al. · 2008 [cited by applicant]
US 7387610B2 · Stahmann et al. · 2008 [cited by applicant]
US 7389143B2 · Hopper et al. · 2008 [cited by applicant]
US 7774055B1 · Min · 2010 [cited by applicant]
US 7986994B2 · Stadler et al. · 2011 [cited by applicant]
US 8052611B2 · Wariar et al. · 2011 [cited by applicant]
US 8202224B2 · Gutfinger et al. · 2012 [cited by applicant]
US 8209033B2 · Zhang et al. · 2012 [cited by applicant]
US 8255046B2 · Sarkar et al. · 2012 [cited by applicant]
US 8708924B2 · Wariar et al. · 2014 [cited by applicant]
US 8744565B2 · Zielinski et al. · 2014 [cited by applicant]
US 8750998B1 · Ghosh et al. · 2014 [cited by applicant]
US 8777850B2 · Cho et al. · 2014 [cited by applicant]
US 8938286B2 · Dumont et al. · 2015 [cited by applicant]
US 9138151B2 · Wariar et al. · 2015 [cited by applicant]
US 9147041B2 · Amarasingham et al. · 2015 [cited by applicant]
US 9173615B2 · Katra et al. · 2015 [cited by applicant]
US 9345414B1 · Bardy et al. · 2016 [cited by applicant]
US 9615744B2 · Denison et al. · 2017 [cited by applicant]
US 9649496B2 · Thakur et al. · 2017 [cited by applicant]
US 9713701B2 · Sarkar et al. · 2017 [cited by applicant]
US 10368774B2 · Sharma et al. · 2019 [cited by applicant]
US 10596381B2 · Averina et al. · 2020 [cited by applicant]
US 10702213B2 · Sharma et al. · 2020 [cited by applicant]
US 10750996B2 · Wariar · 2020 [cited by applicant]
US 10893824B2 · An et al. · 2021 [cited by applicant]
US 10952681B2 · Sharma et al. · 2021 [cited by applicant]
US 11568993B2 · Zaphrir et al. · 2023 [cited by applicant]
US 20010011153A1 · Bardy · 2001 [cited by applicant]
US 20010021801A1 · Bardy · 2001 [cited by applicant]
US 20010039504A1 · Lindberg et al. · 2001 [cited by applicant]
US 20020026104A1 · Bardy · 2002 [cited by applicant]
US 20020035380A1 · Rissmann et al. · 2002 [cited by applicant]
US 20030028221A1 · Zhu et al. · 2003 [cited by applicant]
US 20030055461A1 · Girouard et al. · 2003 [cited by applicant]
US 20030125611A1 · Bardy · 2003 [cited by applicant]
US 20030149367A1 · Kroll et al. · 2003 [cited by applicant]
US 20030216654A1 · Xu et al. · 2003 [cited by applicant]
US 20030220580A1 · Alt · 2003 [cited by applicant]
US 20040102712A1 · Belalcazar et al. · 2004 [cited by applicant]
US 20040122484A1 · Hatlestad et al. · 2004 [cited by applicant]
US 20040172080A1 · Stadler et al. · 2004 [cited by applicant]
US 20050124908A1 · Belalcazar et al. · 2005 [cited by applicant]
US 20060010090A1 · Brockway et al. · 2006 [cited by applicant]
US 20060020295A1 · Brockway et al. · 2006 [cited by applicant]
US 20060200007A1 · Brockway et al. · 2006 [cited by applicant]
US 20060293609A1 · Stahmann et al. · 2006 [cited by applicant]
US 20070142732A1 · Brockway et al. · 2007 [cited by applicant]
US 20070156061A1 · Hess · 2007 [cited by examiner]
US 20070239043A1 · Patel et al. · 2007 [cited by applicant]
US 20080004664A1 · Hopper et al. · 2008 [cited by applicant]
US 20080024293A1 · Stylos · 2008 [cited by applicant]
US 20080027349A1 · Stylos · 2008 [cited by applicant]
US 20080161657A1 · Kessels et al. · 2008 [cited by applicant]
US 20080228090A1 · Wariar et al. · 2008 [cited by applicant]
US 20090030292A1 · Bartnik et al. · 2009 [cited by applicant]
US 20090281399A1 · Keel et al. · 2009 [cited by applicant]
US 20100030086A1 · Zielinski et al. · 2010 [cited by applicant]
US 20100030292A1 · Sarkar · 2010 [cited by examiner]
US 20100030293A1 · Sarkar · 2010 [cited by examiner]
US 20100113888A1 · Cho et al. · 2010 [cited by applicant]
US 20100114241A1 · Donofrio et al. · 2010 [cited by applicant]
US 20100152802A1 · Min · 2010 [cited by applicant]
US 20100198097A1 · Sowelam · 2010 [cited by examiner]
US 20110009760A1 · Zhang et al. · 2011 [cited by applicant]
US 20120109243A1 · Hettrick · 2012 [cited by examiner]
US 20120157856A1 · An et al. · 2012 [cited by applicant]
US 20120221069A1 · Rosenberg · 2012 [cited by examiner]
US 20120253207A1 · Sarkar et al. · 2012 [cited by applicant]
US 20130116578A1 · An et al. · 2013 [cited by applicant]
US 20130116583A1 · Min · 2013 [cited by applicant]
US 20140276928A1 · Vanderpool et al. · 2014 [cited by applicant]
US 20140330172A1 · Jovanov et al. · 2014 [cited by applicant]
US 20150157273A1 · An et al. · 2015 [cited by applicant]
US 20150327776A1 · Zhang et al. · 2015 [cited by applicant]
US 20160038093A1 · Sharma et al. · 2016 [cited by applicant]
US 20160157769A1 · Min et al. · 2016 [cited by applicant]
US 20160206250A1 · Sharma et al. · 2016 [cited by applicant]
US 20160361026A1 · Sarkar et al. · 2016 [cited by applicant]
US 20170021489A1 · Bylund et al. · 2017 [cited by applicant]
US 20170181677A1 · Varsavsky et al. · 2017 [cited by applicant]
US 20170238812A1 · Atlas · 2017 [cited by applicant]
US 20170245794A1 · Sharma et al. · 2017 [cited by applicant]
US 20170265782A1 · Vollmer · 2017 [cited by applicant]
US 20170354365A1 · Zhou · 2017 [cited by examiner]
US 20170360320A1 · Sarkar et al. · 2017 [cited by applicant]
US 20180021570A1 · An et al. · 2018 [cited by applicant]
US 20180035898A1 · Gunderson · 2018 [cited by applicant]
US 20180168463A1 · Morris et al. · 2018 [cited by applicant]
US 20190006985A1 · Twisselman · 2019 [cited by applicant]
US 20190069851A1 · Sharma et al. · 2019 [cited by applicant]
US 20190083030A1 · Thakur et al. · 2019 [cited by applicant]
US 20190125273A1 · Sharma · 2019 [cited by examiner]
US 20190183339A1 · Shah · 2019 [cited by examiner]
US 20190336077A1 · Kuhn et al. · 2019 [cited by applicant]
US 20200030612A1 · Song et al. · 2020 [cited by applicant]
US 20200054238A1 · Gopinathan et al. · 2020 [cited by applicant]
US 20200129099A1 · Mi et al. · 2020 [cited by applicant]
US 20200337563A1 · Andersen · 2020 [cited by examiner]
US 20200383597A1 · Rajagopal et al. · 2020 [cited by applicant]
US 20200383647A1 · Freeman et al. · 2020 [cited by applicant]
US 20210020294A1 · Bharmi et al. · 2021 [cited by applicant]
US 20210093220A1 · Sarkar et al. · 2021 [cited by applicant]
US 20210093253A1 · Sarkar et al. · 2021 [cited by applicant]
US 20210093254A1 · Sarkar et al. · 2021 [cited by applicant]
US 20210204874A1 · Thakur et al. · 2021 [cited by applicant]
US 20210345935A1 · Gill et al. · 2021 [cited by applicant]
CN 1353619A · 2002 [cited by applicant]
CN 102946800A · 2013 [cited by applicant]
CN 105792741A · 2016 [cited by applicant]
CN 107921266A · 2018 [cited by applicant]
CN 108348745A · 2018 [cited by applicant]
DE 10148440A1 · 2003 [cited by applicant]
EP 1997427A1 · 2008 [cited by applicant]
WO 98033554A1 · 1998 [cited by applicant]
WO 200064336A1 · 2000 [cited by applicant]
WO 2001032260A1 · 2001 [cited by applicant]
WO 2004045406A1 · 2004 [cited by applicant]
WO WO2005110051A2 · 2005 [cited by examiner]
WO 2006070124A1 · 2006 [cited by applicant]
WO 2006081432A1 · 2006 [cited by applicant]
WO 2007079354A2 · 2007 [cited by applicant]
WO 2009063446 · 2009 [cited by applicant]
WO 2010014066A · 2010 [cited by applicant]
WO WO2010042855A1 · 2010 [cited by examiner]
WO 2011126823A1 · 2011 [cited by applicant]
WO 2013022760A1 · 2013 [cited by applicant]
WO WO2013082126A1 · 2013 [cited by examiner]
WO 2015175207A1 · 2015 [cited by applicant]
WO 20150175207A1 · 2015 [cited by applicant]
“Design and Development of Medical Electronic Instrumentation: A Practical Perspective of the Design, Construction, and Test of Medical Devices”, 2005, John Wiley & Sons, Inc., Hoboken, New Jersey, pp. 400 and 401 (Year… [cited by examiner]
International Search Report and Written Opinion of International Application No. PCT/US2020/052081, mailed Nov. 30, 2020, 9 pp. [cited by applicant]
Gholamhosseini et al., “Smartphone-based blood pressure monitoring for falls risk assessment: techniques and technologies,” Human Monitoring, Smart Health and Assisted Living: Techniques and Technologies, May 31, 2017, … [cited by applicant]
International Search Report and Written Opinion of International Application No. PCT/US2020/052080, mailed Mar. 1, 2021, 10 pp. [cited by applicant]
Adamson et al, “Continuous Autonomic Assessment in Patients with Symptomatic Heart Failure . . .” Circulation Journal of American Heart Association, pp. 2389-2394. 110: 16, Lippincott Williams & Wilkins, Baltimore MD, J… [cited by applicant]
Lusignan, et al. “Compliance and Effectiveness of 1 Year's Home Telemonitoring, The Report of a Pilot Study . . .” European Journal of Heart Failure, 3:723-730, Dec. 2001. [cited by applicant]
Baer, et al. “Electronic Home Monitoring of Congestive Heart Failure Patients: Design and Feasibility”, Congestive Heart Failure, 5:105-113, May-Jun. 1999. [cited by applicant]
Wuerz et al., “Effects of Prehospital Medications on Mortality and Length of Stay in Congestive Heart Failure”, Annals of Emergency Medicine 21:6 pp. 669-674, Jun. 1992. [cited by applicant]
Berman et al. “Transthoracic Electrical Impedance as a Guide to Intravascular Overload”, Archives Surgery, 102, pp. 61-64 Jan. 1971. [cited by applicant]
Cowie et al., “Development and validation of an integrated diagnostic algorithm derived from parameters monitored in Implantable devices for identifying patients at risk for heart failure hospitalization in an ambulator… [cited by applicant]
U.S. Appl. No. 16/450,250, filed Jun. 24, 2019, by Sarkar et al. [cited by applicant]
Yu et al., “Intrathoracic Impedance Monitoring in Patients With Heart Failure,” Circulation, vol. 112, No. 6, Aug. 9, 2005, pp. 841-848. [cited by applicant]
Adamson et al., “Wireless Pulmonary Artery Pressure Monitoring Guides Management to Reduce Decompensation in Heart Failure With Preserved Ejection Fraction,” Circ Hear Fail, Nov. 2014, pp. 935-944. [cited by applicant]
U.S. Appl. No. 17/021,521, filed Sep. 15, 2020, by Sarkar et al. [cited by applicant]
U.S. Appl. No. 17/021,564, filed Sep. 15, 2020, by Sarkar et al. [cited by applicant]
Prosecution History from U.S. Appl. No. 12/184,149, dated Apr. 7, 2011 through Jul. 26, 2012, 76 pp. [cited by applicant]
Murphy, “A Brief Introduction to Graphical Models and Bayesian Networks”, 1998, 27 pp. (Applicant points out, in accordance with MPEP 609.04(a), that the year of publication, 1998, is sufficiently earlier than the effec… [cited by applicant]
Athanasiou M. et al., “A Bayesian Network Model for the Diagnosis of the Caring Procedure for Wheelchair Users With Spinal Injury” Computer Methods and Programs in Biomedicine, Elsevier, Amsterdam, NL vol. 95, No. 2, Au… [cited by applicant]
Office Action from U.S. Appl. No. 17/021,564 dated Oct. 6, 2022, 11 pp. [cited by applicant]
Response to Office Action dated Oct. 6, 2022 from U.S. Appl. No. 17/021,564, filed Dec. 21, 2022, 11 pp. [cited by applicant]
Office Action from U.S. Appl. No. 17/021,564 dated May 25, 2023, 13 pp. [cited by applicant]
Final Office Action from U.S. Appl. No. 17/021,564 dated Sep. 28, 2023, 15 pp. [cited by applicant]
Response to Office Action dated May 25, 2023 from U.S. Appl. No. 17/021,564, filed Aug. 25, 2023, 11 pp. [cited by applicant]
Response to Final Office Action dated Sep. 28, 2023 from U.S. Appl. No. 17/021,564, filed Dec. 15, 2023, 16 pp. [cited by applicant]
Advisory Action from U.S. Appl. No. 17/021,564 dated Dec. 13, 2023, 2 pp. [cited by applicant]
Response to Final Office Action dated Sep. 28, 2023 from U.S. Appl. No. 17/021,564, filed Nov. 27, 2023, 16 pp. [cited by applicant]
Office Action from U.S. Appl. No. 17/021,564 dated Jun. 28, 2024, 21 pp. [cited by applicant]
Response to Office Action dated Jun. 28, 2024 from U.S. Appl. No. 17/021,564, filed Sep. 6, 2024, 17 pp. [cited by applicant]
Office Action from U.S. Appl. No. 17/021,564 dated Dec. 19, 2024, 19 pp. [cited by applicant]
Final Office Action from U.S. Appl. No. 17/021,564 dated Mar. 27, 2025, 14 pp. [cited by applicant]
First Office Action and Search Report, and translation thereof, from counterpart Chinese Application No. 202080067447.4 dated Feb. 27, 2025, 15 pp. [cited by applicant]
Giraud et al., “Respiratory change in ECG-wave amplitude is a reliable parameter to estimate intravascular vol. status”, Journal of clinical monitoring and computing, Springer Science+Business Media, Nov. 2, 2012, pp. 1… [cited by applicant]
Lara et al., “Accurate monitoring of intravascular fluid volume: A novel application of intrathoracic impedance measures for the guidance of vol. reduction therapy”, IJC Heart & Vasculature, vol. 8, Elsevier Ireland Ltd… [cited by applicant]
Maisel, “B-Type Natriuretic Peptide Levels: Diagnostic and Prognostic in Congestive Heart Failure What's Next?”, American Heart Association, Inc., vol. 105, No. 20, May 21, 2002, pp. 2328-2331. [cited by applicant]
Montgomery et al., “Monitoring intracellular, interstitial, and intravascular vol. changes during fluid management procedures”, Medical & biological engineering & computing, Oct. 1, 2013, pp. 1167-1175. [cited by applicant]
Response to Final Office Action dated Mar. 27, 2025 from U.S. Appl. No. 17/021,564, filed Apr. 29, 2025, 13 pp. [cited by applicant]
Response to Office Action dated Dec. 19, 2024 from U.S. Appl. No. 17/021,564, filed Mar. 18, 2025, 58 pp. [cited by applicant]
Thakur et al., “Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device”, ESC heart failure, vol. 4, No. 4, Jul. 4, 2017, pp. 605-613. [cited by applicant]
Corrected Notice of Allowance from U.S. Appl. No. 17/021,564 dated Dec. 18, 2025, 2 pp. [cited by applicant]
Corrected Notice of Allowance from U.S. Appl. No. 17/021,564 dated Dec. 8, 2025, 2 pp. [cited by applicant]
Final Office Action from U.S. Appl. No. 17/021,564 dated Jun. 20, 2025, 16 pp. [cited by applicant]
Notice of Allowance from U.S. Appl. No. 17/021,564 dated Nov. 19, 2025, 7 pp. [cited by applicant]
Second Office Action from counterpart Chinese Application No. 202080067447.4 dated Oct. 13, 2025, 12 pp., only translation available. [cited by applicant]