Thomas Heldt

Thomas Heldt

Massachusetts Institute of Technology

H-index: 27

North America-United States

About Thomas Heldt

Thomas Heldt, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of physiological modeling, model identification, biomedical signal processing, patient monitoring, neurocritical care informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Atypical symptoms in emergency department patients with urosepsis challenge current urinary tract infection management guidelines

Cerebrospinal fluid space draining catheters

Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection

Efficient deep learning on wearable physiological sensor data for pilot flight performance analysis

Fatigue assessment from facial videos using deep neural networks and engineered features informed by domain knowledge

Low-Order Mechanistic Models for Volumetric and Temporal Capnography: Development, Validation, and Application

Individualized Tracking of Neurocognitive-State-Dependent Eye-Movement Features Using Mobile Devices

Emboli detection methods to identify mechanisms of brain injury in susceptible adults and children

Thomas Heldt Information

University

Position

___

Citations(all)

4171

Citations(since 2020)

1957

Cited By

2960

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

56

i10Index(since 2020)

39

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Thomas Heldt Skills & Research Interests

physiological modeling

model identification

biomedical signal processing

patient monitoring

neurocritical care informatics

Top articles of Thomas Heldt

Title

Journal

Author(s)

Publication Date

Atypical symptoms in emergency department patients with urosepsis challenge current urinary tract infection management guidelines

Academic Emergency Medicine

Brett Biebelberg

Iain E Kehoe

Hui Zheng

Abigail O'Connell

Michael R Filbin

...

2024/4/25

Cerebrospinal fluid space draining catheters

2023/1/5

Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection

PLOS Digital Health

Varesh Prasad

Baturay Aydemir

Iain E Kehoe

Chaya Kotturesh

Abigail O’Connell

...

2023/11/1

Efficient deep learning on wearable physiological sensor data for pilot flight performance analysis

Patrick W Moore

Hrishikesh M Rao

Christine Beauchene

Emilie Cowen

Sophia Yuditskaya

...

2023/10/9

Fatigue assessment from facial videos using deep neural networks and engineered features informed by domain knowledge

Luke Kenworthy

Patrick Moore

Hrishikesh M Rao

Laura J Brattain

Kevin James

...

2023/7/24

Low-Order Mechanistic Models for Volumetric and Temporal Capnography: Development, Validation, and Application

IEEE Transactions on Biomedical Engineering

Elizabeth K Murray

Carine X You

George C Verghese

Baruch S Krauss

Thomas Heldt

2023/3/29

Individualized Tracking of Neurocognitive-State-Dependent Eye-Movement Features Using Mobile Devices

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Hsin-Yu Lai

Charles G Sodini

Vivienne Sze

Thomas Heldt

2023/3/28

Emboli detection methods to identify mechanisms of brain injury in susceptible adults and children

2022/6/9

Importance of inhomogeneous mixing in governing exposure to indoor airborne contaminants

Bulletin of the American Physical Society

Markus Schmidt

Xiaoyi Hu

Reid Kovacs

Abbas Ghasemi

James Lynch

...

2022/11/22

Identifying Vascular Determinants Of Optimal Cerebral Perfusion Pressure In Traumatic Brain Injury Using A Continuous Measurement Algorithm.

Arteriosclerosis, Thrombosis, and Vascular Biology

Michael F Cronin

Daniel Teichmann

Rebecca Stafford

Thomas Heldt

James Holsapple

2022/5

Developing a series of ai challenges for the united states department of the air force

Vijay Gadepally

Gregory Angelides

Andrei Barbu

Andrew Bowne

Laura J Brattain

...

2022/9/19

Modeling of Usual Care: Vasopressor Initiation for Sepsis With Hypotension

Frontiers in Medicine

Varesh Prasad

Andrew T Reisner

James C Lynch

Michael R Filbin

Thomas Heldt

2022/3/11

Multimodal physiological monitoring during virtual reality piloting tasks

Hrishikesh Rao

Emilie Cowen

Sophia Yuditskaya

Laura Brattain

Jamie Koerner

...

2022/8

Deconvolution-Based Partial Volume Correction for Volumetric Blood Flow Measurement

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Syed M Imaduddin

Charles G Sodini

Thomas Heldt

2022/7/6

System and methods for model-based noninvasive estimation and tracking of intracranial pressure

2021/4/29

Long‐duration spaceflight alters estimated intracranial pressure and cerebral blood velocity

The Journal of Physiology

Ken‐ichi Iwasaki

Yojiro Ogawa

Takuya Kurazumi

Syed M Imaduddin

Chiaki Mukai

...

2021/2

App-based saccade latency and directional error determination across the adult age spectrum

IEEE Transactions on Biomedical Engineering

Hsin-Yu Lai

Gladynel Saavedra-Peña

Charles G Sodini

Thomas Heldt

Vivienne Sze

2021/9/16

Cerebral emboli monitoring using transcranial Doppler ultrasonography in adults and children: a review of the current technology and clinical applications in the perioperative …

Barry D Kussman

Syed M Imaduddin

Mohammad Hadi Gharedaghi

Thomas Heldt

Kerri LaRovere

2021/8/1

Antibiotic delays and feasibility of a 1-hour-from-triage antibiotic requirement: analysis of an emergency department sepsis quality improvement database

Annals of emergency medicine

Michael R Filbin

Jill E Thorsen

Tracey M Zachary

James C Lynch

Minoru Matsushima

...

2020/1/1

Adaptive maximal blood flow velocity estimation from transcranial Doppler echos

IEEE journal of translational engineering in health and medicine

Federico Wadehn

Thomas Heldt

2020/7/23

See List of Professors in Thomas Heldt University(Massachusetts Institute of Technology)

Co-Authors

H-index: 75
Peter Szolovits

Peter Szolovits

Massachusetts Institute of Technology

H-index: 64
George Verghese

George Verghese

Massachusetts Institute of Technology

H-index: 60
Vera Novak

Vera Novak

Harvard University

H-index: 59
Robert Tasker

Robert Tasker

Harvard University

H-index: 51
Vivienne Sze

Vivienne Sze

Massachusetts Institute of Technology

H-index: 49
Baruch S Krauss

Baruch S Krauss

Harvard University

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