Judith Dineley

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King’s College London

United Kingdom

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Recent Grants

Grant: Close

An assessment of diurnal variability in non-pathological speech: a pilot study towards a robust protocol for remote speech collection for psychological assessment

Open Date: 2023-10-01

Close Date: 2024-03-01

Grant: Close

An investigation of temporal variability in non-pathological speech: a pilot study towards a robust protocol for remote speech collection for psychological assessment

Open Date: 2023-04-01

Close Date: 2023-09-01

Grant: Close

Protocol development to validate speech collection for psychological assessments: a pilot study

Open Date: 2022-06-01

Close Date: 2022-11-01

Grant: Close

Protocol development to validate speech collection for psychological assessments: a pilot study

Open Date: 2022-06-01

Close Date: 2022-11-01

Articles (9)

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

Collaborators (19)

Zulqarnain Rashid

King’s College London

UNITED KINGDOM

Judith Dineley

Research Interests

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Recent Grants

Articles (9)

Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): A multi-centre prospective cohort study protocol

The relationship between wearable-derived sleep features and relapse in Major Depressive Disorder

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

LONGITUDINAL MODELING OF DEPRESSION SHIFTS USING SPEECH AND LANGUAGE

Multilingual markers of depression in remotely collected speech samples: A preliminary analysis

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder.

Collaborators (19)

Zulqarnain Rashid

Daniel Leightley

Nora Trompeter

richard dobson

Sara Simblett

Amos A. Folarin

Letizia Leocani

Sylvane Desrivières

Yuezhou Zhang

Raquel Bailón

Katie M White

Inez Myin-Germeys

Aki Rintala

Faith Matcham

Femke Lamers

Linglong Qian

Sara Siddi

Julian Baudinet

Nicholas Cummins

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