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  1. Article ; Online: Significance of electrical activity in the right superior pulmonary vein post-isolation and relationship to superior vena cava potentials.

    Sridhar, Arun R / Varma, Niraj

    Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing

    2021  Volume 64, Issue 2, Page(s) 401–407

    Abstract: Purpose: After antral pulmonary vein isolation (PVI), electrical potentials may persist deep in the right superior pulmonary vein (RSPV). Whether these potentials signify true pulmonary vein potential (PVP) (implying inadequate RSPV isolation) or are ... ...

    Abstract Purpose: After antral pulmonary vein isolation (PVI), electrical potentials may persist deep in the right superior pulmonary vein (RSPV). Whether these potentials signify true pulmonary vein potential (PVP) (implying inadequate RSPV isolation) or are far-field potentials (FFP) from the superior vena cava (SVC) is unclear. Here, we attempt to assess the incidence of persistent potentials in RSPV post-isolation and methods to differentiate PVP from FFP.
    Methods: Following PVI, we mapped the RSPV and the SVC with simultaneously placed catheters. We recorded the incidence of SVC potentials, RSPV potentials, and distance between the 2 structures. When RSPV potentials were present, we assessed (1) relationship to SVC potentials, (2) RSPV-SVC distance, and (3) responses on pacing from either site.
    Results: Among 43 consecutive post-PVI patients, 39 (91%) patients had SVC electrical activity but only 10 had persistent RSPV potentials. Of these, 2/10 had true PVP, and 8 were FFP from SVC. Bipolar electrogram morphology did not differentiate PVP from FFP, but low-amplitude (5 mA) SVC pacing was an effective maneuver. However, high-amplitude (≥ 10 mA) pacing from SVC and/or RSPV could result in far-field capture of the other site even when RSPV was devoid of electrical activity. Average RSPV-SVC distance was 15.9 mm.
    Conclusions: Persistent RSPV potentials occur rarely post-PVI despite the close proximity to electrically active SVC. When present, true PVP can be differentiated from FFP by low-amplitude pacing from SVC. Bipolar EGM morphology and high-amplitude pacing are unreliable at differentiating these potentials.
    MeSH term(s) Atrial Fibrillation/epidemiology ; Atrial Fibrillation/surgery ; Catheter Ablation ; Humans ; Pulmonary Veins/surgery ; Vena Cava, Superior/surgery
    Language English
    Publishing date 2021-07-22
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1329179-8
    ISSN 1572-8595 ; 1383-875X
    ISSN (online) 1572-8595
    ISSN 1383-875X
    DOI 10.1007/s10840-021-01032-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Quality of life after atrial fibrillation ablation: measuring the most important end-point.

    Sridhar, Arun R / Colbert, Robert

    Heart (British Cardiac Society)

    2020  Volume 106, Issue 24, Page(s) 1876–1877

    MeSH term(s) Anti-Arrhythmia Agents/therapeutic use ; Atrial Fibrillation/drug therapy ; Atrial Fibrillation/surgery ; Catheter Ablation ; Cognition ; Functional Status ; Humans ; Quality of Life
    Chemical Substances Anti-Arrhythmia Agents
    Language English
    Publishing date 2020-10-12
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 1303417-0
    ISSN 1468-201X ; 1355-6037
    ISSN (online) 1468-201X
    ISSN 1355-6037
    DOI 10.1136/heartjnl-2020-317547
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The leads are still the weakest link.

    Prutkin, Jordan M / Sridhar, Arun R

    Kardiologia polska

    2018  Volume 76, Issue 8, Page(s) 1199–1200

    Language English
    Publishing date 2018-08-16
    Publishing country Poland
    Document type Journal Article ; Comment
    ZDB-ID 411492-9
    ISSN 1897-4279 ; 0022-9032
    ISSN (online) 1897-4279
    ISSN 0022-9032
    DOI 10.5603/KP.2018.0162
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Isolated right bundle branch block in asymptomatic patients: not inconsequential as previously thought?

    Sridhar, Arun R / Padala, Santosh K

    Heart (British Cardiac Society)

    2019  Volume 105, Issue 15, Page(s) 1136–1137

    MeSH term(s) Bundle-Branch Block ; Electrocardiography ; Humans ; Primary Health Care
    Language English
    Publishing date 2019-05-25
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 1303417-0
    ISSN 1468-201X ; 1355-6037
    ISSN (online) 1468-201X
    ISSN 1355-6037
    DOI 10.1136/heartjnl-2019-314751
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Using smart speakers to contactlessly monitor heart rhythms.

    Wang, Anran / Nguyen, Dan / Sridhar, Arun R / Gollakota, Shyamnath

    Communications biology

    2021  Volume 4, Issue 1, Page(s) 319

    Abstract: ... the smart speaker into a short-range active sonar system and measure heart rate and inter-beat intervals (R ... R intervals) for both regular and irregular rhythms. The smart speaker emits inaudible 18-22 kHz ... congestive heart failure. Compared to electrocardiogram (ECG) data, our system computed R-R intervals for healthy ...

    Abstract Heart rhythm assessment is indispensable in diagnosis and management of many cardiac conditions and to study heart rate variability in healthy individuals. We present a proof-of-concept system for acquiring individual heart beats using smart speakers in a fully contact-free manner. Our algorithms transform the smart speaker into a short-range active sonar system and measure heart rate and inter-beat intervals (R-R intervals) for both regular and irregular rhythms. The smart speaker emits inaudible 18-22 kHz sound and receives echoes reflected from the human body that encode sub-mm displacements due to heart beats. We conducted a clinical study with both healthy participants and hospitalized cardiac patients with diverse structural and arrhythmic cardiac abnormalities including atrial fibrillation, flutter and congestive heart failure. Compared to electrocardiogram (ECG) data, our system computed R-R intervals for healthy participants with a median error of 28 ms over 12,280 heart beats and a correlation coefficient of 0.929. For hospitalized cardiac patients, the median error was 30 ms over 5639 heart beats with a correlation coefficient of 0.901. The increasing adoption of smart speakers in hospitals and homes may provide a means to realize the potential of our non-contact cardiac rhythm monitoring system for monitoring of contagious or quarantined patients, skin sensitive patients and in telemedicine settings.
    MeSH term(s) Acoustics/instrumentation ; Aged ; Algorithms ; Arrhythmias, Cardiac/diagnosis ; Arrhythmias, Cardiac/physiopathology ; Case-Control Studies ; Electrocardiography ; Equipment Design ; Female ; Heart Failure/diagnosis ; Heart Failure/physiopathology ; Heart Rate ; Hospitalization ; Humans ; Male ; Middle Aged ; Predictive Value of Tests ; Proof of Concept Study ; Prospective Studies ; Reproducibility of Results ; Signal Processing, Computer-Assisted ; Telemedicine/instrumentation ; Time Factors ; Transducers ; Wireless Technology/instrumentation
    Language English
    Publishing date 2021-03-09
    Publishing country England
    Document type Comparative Study ; Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ISSN 2399-3642
    ISSN (online) 2399-3642
    DOI 10.1038/s42003-021-01824-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Using smart speakers to contactlessly monitor heart rhythms

    Anran Wang / Dan Nguyen / Arun R. Sridhar / Shyamnath Gollakota

    Communications Biology, Vol 4, Iss 1, Pp 1-

    2021  Volume 12

    Abstract: Anran Wang et al. present a contact-free method of monitoring individual heart beats by converting smart-speakers into active sonar systems. Their approach is capable of measuring heart rhythms with high accuracy in both healthy participants and ... ...

    Abstract Anran Wang et al. present a contact-free method of monitoring individual heart beats by converting smart-speakers into active sonar systems. Their approach is capable of measuring heart rhythms with high accuracy in both healthy participants and hospitalized patients, and may be a useful healthcare tool for remote diagnosis or patient monitoring.
    Keywords Biology (General) ; QH301-705.5
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Artificial intelligence-enabled mobile electrocardiograms for event prediction in paroxysmal atrial fibrillation.

    Raghunath, Ananditha / Nguyen, Dan D / Schram, Matthew / Albert, David / Gollakota, Shyamnath / Shapiro, Linda / Sridhar, Arun R

    Cardiovascular digital health journal

    2023  Volume 4, Issue 1, Page(s) 21–28

    Abstract: Background: Paroxysmal atrial fibrillation (AF) often eludes early diagnosis, resulting in significant morbidity and mortality. Artificial intelligence (AI) has been used to predict AF from sinus rhythm electrocardiograms (ECGs), but AF prediction using ...

    Abstract Background: Paroxysmal atrial fibrillation (AF) often eludes early diagnosis, resulting in significant morbidity and mortality. Artificial intelligence (AI) has been used to predict AF from sinus rhythm electrocardiograms (ECGs), but AF prediction using sinus rhythm mobile electrocardiograms (mECG) remains unexplored.
    Objective: The purpose of this study was to investigate the utility of AI to predict AF events prospectively and retrospectively using sinus rhythm mECG data.
    Methods: We trained a neural network to predict AF events from sinus rhythm mECGs obtained from users of the Alivecor KardiaMobile 6L device. We tested our model on sinus rhythm mECGs within ±0-2 days, ±3-7 days, and ±8-30 days from AF events to determine the optimal screening window. Finally, we tested our model on mECGs from before an AF event to determine whether AF can be predicted prospectively.
    Results: We included 73,861 users with 267,614 mECGs (mean age 58.14 years; 35% women). Users with paroxysmal AF contributed 60.15% of mECGs. Model performance on the test set comprising control and study samples across all windows of interest showed an area under the curve (AUC) score of 0.760 (95% confidence interval [CI] 0.759-0.760), sensitivity of 0.703 (95% CI 0.700-0.705), specificity of 0.684 (95% CI 0.678-0.685), and accuracy of 69.4% (95% CI 0.692-0.700). Model performance was better on ±0-2 day samples (sensitivity 0.711; 95% CI 0.709-0.713) and worse on the ±8-30 day window (sensitivity 0.688; 95% CI 0.685-0.690), with performance on the ±3-7 day window falling in between (sensitivity 0.708; 95% CI 0.704-0.710).
    Conclusion: Neural networks can predict AF using a widely scalable and cost-effective mobile technology prospectively and retrospectively.
    Language English
    Publishing date 2023-01-20
    Publishing country United States
    Document type Journal Article
    ISSN 2666-6936
    ISSN (online) 2666-6936
    DOI 10.1016/j.cvdhj.2023.01.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Ablation of atrial fibrillation: Facts for the referring physician.

    Mahankali Sridhar, Arun R / Wazni, Oussama / Hussein, Ayman A

    Cleveland Clinic journal of medicine

    2018  Volume 85, Issue 10, Page(s) 789–799

    Abstract: Radiofrequency ablation has become a safe and effective treatment for atrial fibrillation. We believe that referral to an electrophysiologist for consideration of ablation may allow for better rhythm control and outcomes by altering the natural history ... ...

    Abstract Radiofrequency ablation has become a safe and effective treatment for atrial fibrillation. We believe that referral to an electrophysiologist for consideration of ablation may allow for better rhythm control and outcomes by altering the natural history of atrial fibrillation progression.
    MeSH term(s) Atrial Fibrillation/surgery ; Catheter Ablation/methods ; Humans ; Referral and Consultation
    Language English
    Publishing date 2018-10-02
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 639116-3
    ISSN 1939-2869 ; 0891-1150
    ISSN (online) 1939-2869
    ISSN 0891-1150
    DOI 10.3949/ccjm.85a.17092
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Boldly Going Where Few Have Gone Before: The Voyages of Cardiac Catheter Ablation.

    Chung, Mina K / Sridhar, Arun R Mahankali

    JACC. Clinical electrophysiology

    2017  Volume 3, Issue 11, Page(s) 1249–1251

    MeSH term(s) Arrhythmias, Cardiac ; Cardiac Catheters ; Catheter Ablation ; Heart ; Humans
    Language English
    Publishing date 2017-08-30
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2846739-5
    ISSN 2405-5018 ; 2405-500X ; 2405-500X
    ISSN (online) 2405-5018 ; 2405-500X
    ISSN 2405-500X
    DOI 10.1016/j.jacep.2017.06.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Blocking Ocular Sympathetic Activity Inhibits Choroidal Neovascularization.

    Martinez-Camarillo, Juan Carlos / Spee, Christine K / Trujillo-Sanchez, Gloria Paulina / Rodriguez, Anthony / Hinton, David R / Giarola, Alessandra / Pikov, Victor / Sridhar, Arun / Humayun, Mark S / Weitz, Andrew C

    Frontiers in neuroscience

    2022  Volume 15, Page(s) 780841

    Abstract: Purpose: ...

    Abstract Purpose:
    Language English
    Publishing date 2022-01-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2021.780841
    Database MEDical Literature Analysis and Retrieval System OnLINE

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