Emer Doheny

Lecturer/Assistant Professor

Dublin City University

Ireland

Research Interests

Explore related searches

Professors in Ireland

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Emer Doheny is a Lecturer at University College Dublin, Ireland. Her research primarily focuses on using wearable sensors for health monitoring, especially in conditions such as Huntington's disease and COVID-19. Recent articles highlight her work on acoustic biomarkers for speech impairment, gait parameter estimation, and respiratory monitoring using mobile devices. She is dedicated to advancing the understanding of health metrics through innovative technology applications.

Articles (12)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (4)

Manuel Lozano García

Profesor asociado

Universitat Politècnica de Catalunya

SPAIN

View details

Monica Busse

Cardiff University

UNITED KINGDOM

View details

Lara McManus

IRELAND

View details

Anne E Rosser

Cardiff University

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Emer Doheny

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

Language-Independent Acoustic Biomarkers for Quantifying Speech Impairment in Huntington's Disease

Assessment of Fitbit Charge 4 for sleep stage and heart rate monitoring against polysomnography and during home monitoring in Huntington’s disease

Estimation of Gait Parameters in Huntington’s Disease Using Wearable Sensors in the Clinic and Free-living Conditions

Waist—What? Can a single sensor positioned at the waist detect parameters of gait at a speed and distance reflective of older adults’ activity?

Estimation of respiratory rate and exhale duration using audio signals recorded by smartphone microphones

Prediction of low pulse oxygen saturation in COVID-19 using remote monitoring post hospital discharge

Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand test

Comparison of Acoustic Voice Features Derived From Mobile Devices and Studio Microphone Recordings

Feature-Based Evaluation of a Wearable Surface EMG Sensor against Laboratory Standard EMG during Force-Varying and Fatiguing Contractions

Adaptive gait segmentation algorithm for walking bout detection using tri-axial accelerometers

Ambulatory detection of sleep apnea using a non-contact biomotion sensor

Estimation of respiration rate and sleeping position using a wearable accelerometer

Collaborators (4)

Manuel Lozano García

Monica Busse

Lara McManus

Anne E Rosser

Make your next move.