ArticleNPJ cardiovascular health2025
Machine learning based, subject-specific, gender and race independent, non-invasive estimation of the arterial blood pressure.
Rahul Kumar Sevakula, Patrícia J Bota, Mohamad B Kassab, Sandeep Chandra Bollepalli, Geerthy Thambiraj, Richard Boyer, Eric M Isselbacher, Antonis A Armoundas
Abstract read
In one paragraphArticle in NPJ cardiovascular health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Rahul Kumar SevakulaCardiovascular Research Center, Massachusetts General Hospital, Boston, MA USA.
Patrícia J BotaCardiovascular Research Center, Massachusetts General Hospital, Boston, MA USA.
Mohamad B KassabCardiovascular Research Center, Massachusetts General Hospital, Boston, MA USA.
Sandeep Chandra BollepalliCardiovascular Research Center, Massachusetts General Hospital, Boston, MA USA.
Geerthy ThambirajCardiovascular Research Center, Massachusetts General Hospital, Boston, MA USA.
Richard BoyerAnesthesia Department, Massachusetts General Hospital, Boston, MA USA.
Eric M IsselbacherHealthcare Transformation Lab, Massachusetts General Hospital, Boston, MA USA.
Antonis A ArmoundasCardiovascular Research Center, Massachusetts General Hospital, Boston, MA USA.
Funding
Harvard Clinical and Translational Science Center (UL1)UL1TR000170 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2012 to 2013
$31.4MPrevention and Treatment of Ventricular TachyarrhythmiasR01HL135335 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ARMOUNDAS, ANTONIS A · 2017 to 2020
$2.1MBiomarker-guided optimization of transcutaneous vagal stimulation for atrial fibrillationR01HL161008 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Stavros Stavrakis · 2022 to 2026
$1.9MA Medical-Grade Smart-Phone Based Monitoring System (Supplement)R21EB026164 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ARMOUNDAS, ANTONIS A · 2018 to 2020
$668kUtility of Vagal Stimulation to Prevent the Onset of Ventricular ArrhythmiasR21HL137870 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ARMOUNDAS, ANTONIS A · 2017 to 2018
$468kNCATS NIH HHS UL1 TR000170NHLBI NIH HHS R01 HL135335NHLBI NIH HHS R01 HL161008NHLBI NIH HHS R21 HL137870NIBIB NIH HHS R21 EB026164
6 · The paper itselfAbstract
Software-based blood pressure (BP) measurement offers non-invasive, continuous, real-time monitoring compared to traditional methods. This study explores a non-invasive machine learning approach to estimate arterial BP from ECG and SpO
Indexed as
Electrocardiography - EKGHealth careHypertension
Identifiers
PMID40757190
PMCPMC12316593
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390