• radar-base@kcl.ac.uk | radar-base@thehyve.nl
  • KCL +44 (0)20 7848 0924 | The Hyve +31 (0)30 700 9713

Publications

2023

  • A smartphone- and wearable-based biomarker for the estimation of unipolar depression severity 10.1038/s41598-023-46075-2
  • Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study 10.1038/s41746-023-00749-3
  • Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis 10.2196/39479
  • Charting a Course for Smartphones and Wearables to Transform Population Health Research 10.2196/42449
  • The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement 10.2196/42866
  • Seguridad y componentes nativos en una aplicación híbrida 10.35290/rcui.v10n1.2023.748
  • The impact of COVID-19 lockdown on a cohort of adults with recurrent major depressive disorder from Catalonia: a decentralized longitudinal study using remote measurement technology 10.1101/2023.01.24.23284906
  • Sharing Health Information Using a Blockchain 10.3390/healthcare11020170
  • Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report 10.2196/43092

2022

  • Enhancing mHealth data collection applications with sensing capabilities 10.3389/fpubh.2022.926234
  • Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals 10.1186/s12911-022-01856-z
  • Development of open backend structures for healthcare professionals to improve participation in app developments: A pilot study 10.2196/42224
  • Development of an application for mobile devices for the early detection of cardiovascular diseases 123456789/752
  • Developing Highly Porous Glass Microspheres via a Single-Stage Flame Spheroidisation Process 10.1088/1742-6596/2243/1/012005
  • Biosensors in diagnosing COVID-19 and recent development 10.1016/j.sintl.2020.100054
  • Multilingual markers of depression in remotely collected speech samples 10.21203/rs.3.rs-2183980/v1
  • Development of corona sensor 10.1016/B978-0-323-90280-9.00012-2
  • VISUAL ANALYSIS OF MOBILE SENSING TIME-SERIES DATA: IDENTIFYING INDIVIDUAL AND RELATIVE BEHAVIOURAL PATTERNS 10222/81757
  • Digitale Phänotypisierung in der Psychologie – ein Quantensprung in der psychologischen Forschung? 10.1026/0033-3042/a000609
  • Commentary: Developing a Prediction Model for Identification of Distinct Perioperative Clinical Stages in Spine Surgery With Smartphone-Based Mobility Data 10.1227/neu.0000000000001947
  • The Stability of Transient Relationships 2204.05447
  • Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study 10.2196/29988
  • Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder 10.1038/s41746-022-00680-z
  • Digital phenotyping in psychiatry: A scoping review 10.3233/THC-213648
  • Challenges in the analysis of mobile health data from smartphones and wearable devices to predict depression symptom severity 2212.10540
  • Scalable real-time health data sensing and analysis enabling collaborative care delivery 10.1007/s13278-022-00891-y
  • Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study 10.1109/EMBC48229.2022.9870923
  • Data-driven monitoring in patients on left ventricular assist device support 10.1080/17434440.2022.2132147
  • The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions 10.1016/j.cmpb.2022.107204
  • Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis 10.3390/jcm11237163
  • A Mobile App for Children With Asthma to Monitor Indoor Air Quality (AirBuddy): Development and Usability Study 10.2196/37118
  • ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA): a multi-centre prospective cohort study protocol 10.1186/s12888-022-04429-6
  • Direct Mobile Coaching as a Paradigm for the Creation of Mobile Feedback Systems 10.3390/app12115558
  • Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile Sensing 10.3390/s22072813
  • Smart Sensing Enhanced Diagnostic Expert Systems 10.1007/978-3-030-98546-2_24
  • Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint 10.2196/35951
  • Data quality evaluation in wearable monitoring 10.1038/s41598-022-25949-x
  • MAISON — Multimodal AI-based Sensor platform for Older Individuals 2211.03615
  • Building a secure mHealth data sharing infrastructure over NDN 10.1145/3517212.3558091
  • Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis 10.2196/40667
  • Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder 10.1016/j.jad.2022.05.005
  • Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review 10.3390/s22103893
  • Intra- and Inter-Subject Perspectives on the Detection of Focal Onset Motor Seizures in Epilepsy Patients 10.3390/s22093318
  • Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder 10.1016/j.patcog.2021.108403
  • Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study 10.2196/34898
  • Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study 10.1186/s12888-022-03753-1
  • The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones 10.2196/28095
  • Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective 10.1146/annurev-publhealth-060220-041643
  • Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review 10.2196/28735

2021

  • Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic 10.3389/fneur.2021.690404
  • Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring 10.3389/fdgth.2021.662811
  • Issue in Remote Assessment of Lung Disease and Impact on Physical and Mental Health (RALPMH): Protocol for Prospective Observational Study 10.2196/28873
  • An Automated Machine Learning Pipeline for Monitoring and Forecasting Mobile Health Data 10.1109/SIEDS52267.2021.9483755
  • Designing an Indoor Air Quality Monitoring App for Asthma Management in Children: User-Centered Design Approach 10.2196/27447
  • Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): Recruitment, retention, and data availability in a longitudinal remote measurement study 10.21203/rs.3.rs-612374/v1
  • Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review 10.1093/jamiaopen/ooaa067
  • Ambulatory assessment for precision psychiatry: Foundations, current developments and future avenues 10.1016/j.expneurol.2021.113807
  • Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study 10.1186/s13195-021-00825-4
  • Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study 10.2196/29840
  • Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study Authors of this article 10.2196/23806
  • Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies 10.1007/s10902-020-00324-7
  • Remote Digital Monitoring for Medical Product Development 10.1111/cts.12851
  • Critical neurological features of COVID-19: Role of imaging methods and biosensors for effective diagnosis 10.1016/j.sintl.2021.100098
  • Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study 10.2196/24604
  • Wearable devices for seizure detection: Practical experiences and recommendations from the Wearables for Epilepsy And Research (WEAR) International Study Group 10.1111/epi.17044
  • Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint 10.1159/000514730
  • Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder 10.21437/Interspeech.2021-1240
  • Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology 10.1186/s12888-021-03434-5
  • Digital semiology and time-evolution pattern of bio-signals in focal onset motor seizures 10.1016/j.seizure.2021.03.013
  • Home stay reflects symptoms severity in major depressive disorder: A multicenter observational study using geolocation data from smartphones 10.1101/2021.02.10.21251512
  • Remote digital monitoring for medical product development 10.1111/cts.12851
  • Experimental characterisation of textile compaction response: A benchmark exercise 10.1016/j.compositesa.2020.106243
  • JTrack: A Digital Biomarker Platform for Remote Monitoring in Neurological and Psychiatric Diseases

2020

2019

2018