Zulqarnain Rashid

King’s College London

United Kingdom

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Articles (20)

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Collaborators (22)

Daniel Leightley

King’s College London

UNITED KINGDOM

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Charlotte Boatman

King’s College London

UNITED KINGDOM

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Mark Philip Richardson

King’s College London

UNITED KINGDOM

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richard dobson

King’s College London

UNITED KINGDOM

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Sara Simblett

King’s College London

UNITED KINGDOM

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Amos A. Folarin

UNITED KINGDOM

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Matthias Dümpelmann

GERMANY

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Yuezhou Zhang

King's College London

UNITED KINGDOM

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Raquel Bailón

Universidad de Zaragoza

SPAIN

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Katie M White

King’s College London

UNITED KINGDOM

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Jonna Kuntsi

King’s College London

UNITED KINGDOM

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Inez Myin-Germeys

Prof.

KU Leuven

BELGIUM

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Aki Rintala

Senior Lecturer

LAB University of Applied Sciences

FINLAND

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Philip Asherson

King’s College London

UNITED KINGDOM

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Andrea Biondi

King’s College London

UNITED KINGDOM

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Elisa Bruno

King’s College London

UNITED KINGDOM

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Faith Matcham

King’s College London

UNITED KINGDOM

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Femke Lamers

Assistant professor

VU medisch centrum

NETHERLANDS

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Linglong Qian

King's College London

UNITED KINGDOM

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Sara Siddi

Contract professor

Universitat de Girona

SPAIN

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Judith Dineley

King’s College London

UNITED KINGDOM

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Nicholas Cummins

Lecturer

King’s College London

UNITED KINGDOM

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Zulqarnain Rashid

Research Interests

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Articles (20)

Assessing seasonal and weather effects on depression and physical activity using mobile health data

Large-scale digital phenotyping

Identifying Digital Markers of Attention-Deficit/Hyperactivity Disorder (ADHD) in a Remote Monitoring Setting: Prospective Observational Study

A dual in-person and remote assessment approach to developing digital endpoints relevant to autism and co-occurring conditions: protocol for a multi-site observational study (Preprint)

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 Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing

Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices

RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research

Digital Phenotyping of Mental and Physical Conditions

Remote Administration of ADHD-Sensitive Cognitive Tasks

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

The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis

Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility

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

Collaborators (22)

Daniel Leightley

Charlotte Boatman

Mark Philip Richardson

richard dobson

Sara Simblett

Amos A. Folarin

Matthias Dümpelmann

Yuezhou Zhang

Raquel Bailón

Katie M White

Jonna Kuntsi

Inez Myin-Germeys

Aki Rintala

Philip Asherson

Andrea Biondi

Elisa Bruno

Faith Matcham

Femke Lamers

Linglong Qian

Sara Siddi

Judith Dineley

Nicholas Cummins

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