This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (907) Wearable Devices and Sensors (811)

Published on in Vol 7, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11734, first published .
RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

Authors of this article:

Yatharth Ranjan1 Author Orcid Image ;   Zulqarnain Rashid1 Author Orcid Image ;   Callum Stewart1 Author Orcid Image ;   Pauline Conde1 Author Orcid Image ;   Mark Begale2 Author Orcid Image ;   Denny Verbeeck3 Author Orcid Image ;   Sebastian Boettcher4 Author Orcid Image ;   The Hyve5 ;   Richard Dobson1, 6 Author Orcid Image ;   Amos Folarin1, 6 Author Orcid Image ;   The RADAR-CNS Consortium7
Article Authors Cited by (117) Tweetations (21) Metrics

Journals

  1. Andrews J, Craven M, Jamnadas-Khoda J, Lang A, Morriss R, Hollis C. Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study. Journal of Medical Internet Research 2020;22(7):e17414 View
  2. Bruno E, Böttcher S, Biondi A, Epitashvili N, Manyakov N, Lees S, Schulze‐Bonhage A, Richardson M. Post‐ictal accelerometer silence as a marker of post‐ictal immobility. Epilepsia 2020;61(7):1397 View
  3. Owens A, Ballard C, Beigi M, Kalafatis C, Brooker H, Lavelle G, Brønnick K, Sauer J, Boddington S, Velayudhan L, Aarsland D. Implementing Remote Memory Clinics to Enhance Clinical Care During and After COVID-19. Frontiers in Psychiatry 2020;11 View
  4. Izmailova E, Wagner J, Ammour N, Amondikar N, Bell‐Vlasov A, Berman S, Bloomfield D, Brady L, Cai X, Calle R, Campbell M, Cerreta F, Clay I, Foschini L, Furlong P, Goldel R, Goldsack J, Groenen P, Folarin A, Heemskerk J, Honig P, Hotopf M, Kamphaus T, Karlin D, Leptak C, Liu Q, Manji H, Mather R, Menetski J, Narayan V, Papadopoulos E, Patel B, Patrick‐Lake B, Podichetty J, Pratap A, Servais L, Stephenson D, Tenaerts P, Tromberg B, Usdin S, Vasudevan S, Zipunnikov V, Hoffmann S. Remote Digital Monitoring for Medical Product Development. Clinical and Translational Science 2021;14(1):94 View
  5. Dalla Costa G, Leocani L, Montalban X, Guerrero A, Sørensen P, Magyari M, Dobson R, Cummins N, Narayan V, Hotopf M, Comi G. Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study. Neurological Sciences 2020;41(7):1647 View
  6. Bruno E, Biondi A, Thorpe S, Richardson M. Patients self-mastery of wearable devices for seizure detection: A direct user-experience. Seizure 2020;81:236 View
  7. Sun S, Folarin A, Ranjan Y, Rashid Z, Conde P, Stewart C, Cummins N, Matcham F, Dalla Costa G, Simblett S, Leocani L, Lamers F, Sørensen P, Buron M, Zabalza A, Guerrero Pérez A, Penninx B, Siddi S, Haro J, Myin-Germeys I, Rintala A, Wykes T, Narayan V, Comi G, Hotopf M, Dobson R. Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19. Journal of Medical Internet Research 2020;22(9):e19992 View
  8. Bruno E, Biondi A, Böttcher S, Lees S, Schulze-Bonhage A, Richardson M. Day and night comfort and stability on the body of four wearable devices for seizure detection: A direct user-experience. Epilepsy & Behavior 2020;112:107478 View
  9. de Vries L, Baselmans B, Bartels M. Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies. Journal of Happiness Studies 2021;22(5):2361 View
  10. Behera S, Rana G, Satapathy S, Mohanty M, Pradhan S, Panda M, Ningthoujam R, Hazarika B, Singh Y. Biosensors in diagnosing COVID-19 and recent development. Sensors International 2020;1:100054 View
  11. Gromisch E, Turner A, Haselkorn J, Lo A, Agresta T. Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review. JAMIA Open 2021;4(3) View
  12. Bruno E, Biondi A, Böttcher S, Vértes G, Dobson R, Folarin A, Ranjan Y, Rashid Z, Manyakov N, Rintala A, Myin-Germeys I, Simblett S, Wykes T, Stoneman A, Little A, Thorpe S, Lees S, Schulze-Bonhage A, Richardson M. Remote Assessment of Disease and Relapse in Epilepsy: Protocol for a Multicenter Prospective Cohort Study. JMIR Research Protocols 2020;9(12):e21840 View
  13. Zhang Y, Folarin A, Sun S, Cummins N, Bendayan R, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Matcham F, White K, Lamers F, Siddi S, Simblett S, Myin-Germeys I, Rintala A, Wykes T, Haro J, Penninx B, Narayan V, Hotopf M, Dobson R. Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(4):e24604 View
  14. Sheikh M, Qassem M, Kyriacou P. Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring. Frontiers in Digital Health 2021;3 View
  15. Bruno E, Biondi A, Richardson M, Consortium o. Digital semiology and time-evolution pattern of bio-signals in focal onset motor seizures. Seizure 2021;87:114 View
  16. Henriksen A, Johannessen E, Hartvigsen G, Grimsgaard S, Hopstock L. Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study. JMIR Public Health and Surveillance 2021;7(4):e23806 View
  17. Muurling M, de Boer C, Kozak R, Religa D, Koychev I, Verheij H, Nies V, Duyndam A, Sood M, Fröhlich H, Hannesdottir K, Erdemli G, Lucivero F, Lancaster C, Hinds C, Stravopoulos T, Nikolopoulos S, Kompatsiaris I, Manyakov N, Owens A, Narayan V, Aarsland D, Visser P. Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study. Alzheimer's Research & Therapy 2021;13(1) View
  18. Singh V, Allawadhi P, Khurana A, Banothu A, Bharani K. Critical neurological features of COVID-19: Role of imaging methods and biosensors for effective diagnosis. Sensors International 2021;2:100098 View
  19. Kim S, Park Y, Ackerman M. Designing an Indoor Air Quality Monitoring App for Asthma Management in Children: User-Centered Design Approach. JMIR Formative Research 2021;5(9):e27447 View
  20. Zhang Y, Folarin A, Sun S, Cummins N, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Matcham F, Oetzmann C, Lamers F, Siddi S, Simblett S, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Narayan V, Annas P, Hotopf M, Dobson R. Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study. JMIR mHealth and uHealth 2021;9(7):e29840 View
  21. Reichert M, Gan G, Renz M, Braun U, Brüßler S, Timm I, Ma R, Berhe O, Benedyk A, Moldavski A, Schweiger J, Hennig O, Zidda F, Heim C, Banaschewski T, Tost H, Ebner-Priemer U, Meyer-Lindenberg A. Ambulatory assessment for precision psychiatry: Foundations, current developments and future avenues. Experimental Neurology 2021;345:113807 View
  22. Elvas L, Serrão C, Ferreira J. Sharing Health Information Using a Blockchain. Healthcare 2023;11(2):170 View
  23. Liu S, Han J, Puyal E, Kontaxis S, Sun S, Locatelli P, Dineley J, Pokorny F, Costa G, Leocani L, Guerrero A, Nos C, Zabalza A, Sørensen P, Buron M, Magyari M, Ranjan Y, Rashid Z, Conde P, Stewart C, Folarin A, Dobson R, Bailón R, Vairavan S, Cummins N, Narayan V, Hotopf M, Comi G, Schuller B, Consortium R. Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. Pattern Recognition 2022;123:108403 View
  24. Dixon W, van der Veer S, Ali S, Laidlaw L, Dobson R, Sudlow C, Chico T, MacArthur J, Doherty A. Charting a Course for Smartphones and Wearables to Transform Population Health Research. Journal of Medical Internet Research 2023;25:e42449 View
  25. Baumeister H, Garatva P, Pryss R, Ropinski T, Montag C. Digitale Phänotypisierung in der Psychologie – ein Quantensprung in der psychologischen Forschung?. Psychologische Rundschau 2023;74(2):89 View
  26. Niemeijer K, Mestdagh M, Verdonck S, Meers K, Kuppens P. Combining Experience Sampling and Mobile Sensing for Digital Phenotyping With m-Path Sense: Performance Study. JMIR Formative Research 2023;7:e43296 View
  27. Denyer H, Ramos-Quiroga J, Folarin A, Ramos C, Nemeth P, Bilbow A, Woodward E, Whitwell S, Müller-Sedgwick U, Larsson H, Dobson R, Kuntsi J. ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA): a multi-centre prospective cohort study protocol. BMC Psychiatry 2022;22(1) View
  28. Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
  29. Dimitriadis I, Mavroudopoulos I, Kyrama S, Toliopoulos T, Gounaris A, Vakali A, Billis A, Bamidis P. Scalable real-time health data sensing and analysis enabling collaborative care delivery. Social Network Analysis and Mining 2022;12(1) View
  30. Stewart C, Ranjan Y, Conde P, Rashid Z, Sankesara H, Bai X, Dobson R, Folarin A. Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study). JMIR Research Protocols 2021;10(12):e32587 View
  31. Numan L, Moazeni M, Oerlemans M, Aarts E, Van Der Kaaij N, Asselbergs F, Van Laake L. Data-driven monitoring in patients on left ventricular assist device support. Expert Review of Medical Devices 2022;19(9):677 View
  32. Franco D, Gonzalez G, Hines K, Mouchtouris N, Sharan A, Harrop J. Commentary: Developing a Prediction Model for Identification of Distinct Perioperative Clinical Stages in Spine Surgery With Smartphone-Based Mobility Data. Neurosurgery 2022;90(6):e163 View
  33. Rivero Albarrán D, Guerra Torrealba L, Molina Oñate L. Seguridad y componentes nativos en una aplicación híbrida. Revista Científica UISRAEL 2023;10(1):131 View
  34. Areerob Y, Sagadevan S, Oh W. A comprehensive review and clinical guide to molecular and serological diagnostic tests and future development: In vitro diagnostic testing for COVID-19. Nanotechnology Reviews 2023;12(1) View
  35. Ranjan Y, Althobiani M, Jacob J, Orini M, Dobson R, Porter J, Hurst J, Folarin A. Remote Assessment of Lung Disease and Impact on Physical and Mental Health (RALPMH): Protocol for a Prospective Observational Study. JMIR Research Protocols 2021;10(10):e28873 View
  36. Lavalle R, Condominas E, Haro J, Giné-Vázquez I, Bailon R, Laporta E, Garcia E, Kontaxis S, Alacid G, Lombardini F, Preti A, Peñarrubia-Maria M, Coromina M, Arranz B, Vilella E, Rubio-Alacid E, Matcham F, Lamers F, Hotopf M, Penninx B, Annas P, Narayan V, Simblett S, Siddi S. The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study. International Journal of Environmental Research and Public Health 2023;20(6):5161 View
  37. Thorpe D, Fouyaxis J, Lipschitz J, Nielson A, Li W, Murphy S, Bidargaddi N. Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study. JMIR Formative Research 2022;6(3):e29988 View
  38. Siddi S, Giné-Vázquez I, Bailon R, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Arranz B, Dalla Costa G, Guerrero A, Zabalza A, Buron M, Comi G, Leocani L, Annas P, Hotopf M, Penninx B, Magyari M, Sørensen P, Montalban X, Lavelle G, Ivan A, Oetzmann C, White K, Difrancesco S, Locatelli P, Mohr D, Aguiló J, Narayan V, Folarin A, Dobson R, Dineley J, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rashid Z, Rintala A, Girolamo G, Preti A, Simblett S, Wykes T, Myin-Germeys I, Haro J. Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis. Journal of Clinical Medicine 2022;11(23):7163 View
  39. Matcham F, Leightley D, Siddi S, Lamers F, White K, Annas P, de Girolamo G, Difrancesco S, Haro J, Horsfall M, Ivan A, Lavelle G, Li Q, Lombardini F, Mohr D, Narayan V, Oetzmann C, Penninx B, Bruce S, Nica R, Simblett S, Wykes T, Brasen J, Myin-Germeys I, Rintala A, Conde P, Dobson R, Folarin A, Stewart C, Ranjan Y, Rashid Z, Cummins N, Manyakov N, Vairavan S, Hotopf M. Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study. BMC Psychiatry 2022;22(1) View
  40. Zhang Y, Folarin A, Sun S, Cummins N, Vairavan S, Qian L, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Sankesara H, Matcham F, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Narayan V, Annas P, Hotopf M, Dobson R. Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis. JMIR mHealth and uHealth 2022;10(10):e40667 View
  41. Mendes J, Moura I, Van de Ven P, Viana D, Silva F, Coutinho L, Teixeira S, Rodrigues J, Teles A. Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review. Journal of Medical Internet Research 2022;24(2):e28735 View
  42. Karthan M, Martin R, Holl F, Swoboda W, Kestler H, Pryss R, Schobel J. Enhancing mHealth data collection applications with sensing capabilities. Frontiers in Public Health 2022;10 View
  43. Matcham F, Carr E, White K, Leightley D, Lamers F, Siddi S, Annas P, de Girolamo G, Haro J, Horsfall M, Ivan A, Lavelle G, Li Q, Lombardini F, Mohr D, Narayan V, Penninx B, Oetzmann C, Coromina M, Simblett S, Weyer J, Wykes T, Zorbas S, Brasen J, Myin-Germeys I, Conde P, Dobson R, Folarin A, Ranjan Y, Rashid Z, Cummins N, Dineley J, Vairavan S, Hotopf M. Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder. Journal of Affective Disorders 2022;310:106 View
  44. Single M, Bruhin L, Schütz N, Naef A, Hegi H, Reuse P, Schindler K, Krack P, Wiest R, Chan A, Nef T, Gerber S. Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report. JMIR Formative Research 2023;7:e43092 View
  45. Goldsack J, Dowling A, Samuelson D, Patrick-Lake B, Clay I. Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint. Digital Biomarkers 2021;5(1):53 View
  46. Bardram J. Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile Sensing. Sensors 2022;22(7):2813 View
  47. Clay I, Cormack F, Fedor S, Foschini L, Gentile G, van Hoof C, Kumar P, Lipsmeier F, Sano A, Smarr B, Vandendriessche B, De Luca V. Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint. Journal of Medical Internet Research 2022;24(5):e35951 View
  48. Stegmann G, Hahn S, Liss J, Shefner J, Rutkove S, Kawabata K, Bhandari S, Shelton K, Duncan C, Berisha V. Repeatability of Commonly Used Speech and Language Features for Clinical Applications. Digital Biomarkers 2020;4(3):109 View
  49. Wang H, Yuan X, Wang J, Sun C, Wang G. Telemedicine maybe an effective solution for management of chronic disease during the COVID-19 epidemic. Primary Health Care Research & Development 2021;22 View
  50. Bran E, Bautu E, Sburlan D, Puchianu C, Popovici D. Ubiquitous Computing: Driving in the Intelligent Environment. Mathematics 2021;9(21):2649 View
  51. Laiou P, Kaliukhovich D, Folarin A, Ranjan Y, Rashid Z, Conde P, Stewart C, Sun S, Zhang Y, Matcham F, Ivan A, Lavelle G, Siddi S, Lamers F, Penninx B, Haro J, Annas P, Cummins N, Vairavan S, Manyakov N, Narayan V, Dobson R, Hotopf M. The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones. JMIR mHealth and uHealth 2022;10(1):e28095 View
  52. Zhang Y, Pratap A, Folarin A, Sun S, Cummins N, Matcham F, Vairavan S, Dineley J, Ranjan Y, Rashid Z, Conde P, Stewart C, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Rambla C, Simblett S, Nica R, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Annas P, Narayan V, Hotopf M, Dobson R. Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. npj Digital Medicine 2023;6(1) View
  53. Böttcher S, Bruno E, Manyakov N, Epitashvili N, Claes K, Glasstetter M, Thorpe S, Lees S, Dümpelmann M, Van Laerhoven K, Richardson M, Schulze-Bonhage A. Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation. JMIR mHealth and uHealth 2021;9(11):e27674 View
  54. Böttcher S, Vieluf S, Bruno E, Joseph B, Epitashvili N, Biondi A, Zabler N, Glasstetter M, Dümpelmann M, Van Laerhoven K, Nasseri M, Brinkman B, Richardson M, Schulze-Bonhage A, Loddenkemper T. Data quality evaluation in wearable monitoring. Scientific Reports 2022;12(1) View
  55. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals. BMC Medical Informatics and Decision Making 2022;22(1) View
  56. Leightley D, Lavelle G, White K, Sun S, Matcham F, Ivan A, Oetzmann C, Penninx B, Lamers F, Siddi S, Haro J, Myin-Germeys I, Bruce S, Nica R, Wickersham A, Annas P, Mohr D, Simblett S, Wykes T, Cummins N, Folarin A, Conde P, Ranjan Y, Dobson R, Narayan V, Hotopf M. 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. BMC Psychiatry 2021;21(1) View
  57. White K, Matcham F, Leightley D, Carr E, Conde P, Dawe-Lane E, Ranjan Y, Simblett S, Henderson C, Hotopf M. Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial. JMIR Research Protocols 2021;10(12):e32653 View
  58. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey. BMC Medical Informatics and Decision Making 2021;21(1) View
  59. de Angel V, Adeleye F, Zhang Y, Cummins N, Munir S, Lewis S, Laporta Puyal E, Matcham F, Sun S, Folarin A, Ranjan Y, Conde P, Rashid Z, Dobson R, Hotopf M. The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement. JMIR Mental Health 2023;10:e42866 View
  60. Zhang Y, Folarin A, Sun S, Cummins N, Vairavan S, Bendayan R, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Sankesara H, Matcham F, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Vilella E, Simblett S, Rintala A, Bruce S, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Narayan V, Annas P, Hotopf M, Dobson R. Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study. JMIR Mental Health 2022;9(3):e34898 View
  61. Kim S, Stanton K, Park Y, Thomas S. A Mobile App for Children With Asthma to Monitor Indoor Air Quality (AirBuddy): Development and Usability Study. JMIR Formative Research 2022;6(5):e37118 View
  62. Ribeiro J, Lima P, Nunes F. Trial Monitor: Scaffolding personalised Web dashboards for Human–Computer Interaction field trials. SoftwareX 2021;16:100883 View
  63. Oetzmann C, White K, Ivan A, Julie J, Leightley D, Lavelle G, Lamers F, Siddi S, Annas P, Garcia S, Haro J, Mohr D, Penninx B, Simblett S, Wykes T, Narayan V, Hotopf M, Matcham F. Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. npj Digital Medicine 2022;5(1) View
  64. White K, Dawe-Lane E, Siddi S, Lamers F, Simblett S, Riquelme Alacid G, Ivan A, Myin-Germeys I, Haro J, Oetzmann C, Popat P, Rintala A, Rubio-Abadal E, Wykes T, Henderson C, Hotopf M, Matcham F. Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis. JMIR Human Factors 2023;10:e39479 View
  65. Bruno E, Böttcher S, Viana P, Amengual‐Gual M, Joseph B, Epitashvili N, Dümpelmann M, Glasstetter M, Biondi A, Van Laerhoven K, Loddenkemper T, Richardson M, Schulze‐Bonhage A, Brinkmann B. Wearable devices for seizure detection: Practical experiences and recommendations from the Wearables for Epilepsy And Research (WEAR) International Study Group. Epilepsia 2021;62(10):2307 View
  66. Bahmani A, Alavi A, Buergel T, Upadhyayula S, Wang Q, Ananthakrishnan S, Alavi A, Celis D, Gillespie D, Young G, Xing Z, Nguyen M, Haque A, Mathur A, Payne J, Mazaheri G, Li J, Kotipalli P, Liao L, Bhasin R, Cha K, Rolnik B, Celli A, Dagan-Rosenfeld O, Higgs E, Zhou W, Berry C, Van Winkle K, Contrepois K, Ray U, Bettinger K, Datta S, Li X, Snyder M. A scalable, secure, and interoperable platform for deep data-driven health management. Nature Communications 2021;12(1) View
  67. Davergne T, Kedra J, Gossec L. Wearable activity trackers and artificial intelligence in the management of rheumatic diseases. Zeitschrift für Rheumatologie 2021;80(10):928 View
  68. Baumgartner R. Precision medicine and digital phenotyping: Digital medicine's way from more data to better health. Big Data & Society 2021;8(2):205395172110664 View
  69. Böttcher S, Bruno E, Epitashvili N, Dümpelmann M, Zabler N, Glasstetter M, Ticcinelli V, Thorpe S, Lees S, Van Laerhoven K, Richardson M, Schulze-Bonhage A. Intra- and Inter-Subject Perspectives on the Detection of Focal Onset Motor Seizures in Epilepsy Patients. Sensors 2022;22(9):3318 View
  70. Sun S, Folarin A, Zhang Y, Cummins N, Liu S, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Dalla Costa G, Leocani L, Sørensen P, Magyari M, Guerrero A, Zabalza A, Vairavan S, Bailon R, Simblett S, Myin-Germeys I, Rintala A, Wykes T, Narayan V, Hotopf M, Comi G, Dobson R. The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. Computer Methods and Programs in Biomedicine 2022;227:107204 View
  71. Chia A, Zhang M. Digital phenotyping in psychiatry: A scoping review. Technology and Health Care 2022;30(6):1331 View
  72. Dobiasch M, Oppl S, Stöckl M, Baca A. Direct Mobile Coaching as a Paradigm for the Creation of Mobile Feedback Systems. Applied Sciences 2022;12(11):5558 View
  73. Baldini A, Garofalo R, Scilingo E, Greco A. A Real-Time, Open-Source, IoT-like, Wearable Monitoring Platform. Electronics 2023;12(6):1498 View
  74. Hicks J, Boswell M, Althoff T, Crum A, Ku J, Landay J, Moya P, Murnane E, Snyder M, King A, Delp S. Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective. Annual Review of Public Health 2023;44(1):131 View
  75. Hidd V, López E, Centellegher S, Roberts S, Lepri B, Dunbar R. The stability of transient relationships. Scientific Reports 2023;13(1) View
  76. Dittrich F, Albrecht U, Scherer J, Becker S, Landgraeber S, Back D, Fessmann K, Haversath M, Beck S, Abbara-Czardybon M, Quitmann H, Harren A, Aitzetmüller M, Klietz M. Development of Open Backend Structures for Health Care Professionals to Improve Participation in App Developments: Pilot Usability Study of a Medical App. JMIR Formative Research 2023;7:e42224 View
  77. Kontaxis S, Laporta E, Garcia E, Guerrero A, Zabalza A, Matteo M, Lucia R, Simblett S, Weyer J, Hotopf M, Narayan V, Rashid Z, Folarin A, Dobson R, Buron M, Leocani L, Cummins N, Vairavan S, Costa G, Magyari M, Sørensen P, Nos C, Bailón R, Comi G, the RADAR-CNS Consortium . Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis. Frontiers in Physiology 2023;14 View
  78. González-Pérez A, Matey-Sanz M, Granell C, Díaz-Sanahuja L, Bretón-López J, Casteleyn S. AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health. Journal of Biomedical Informatics 2023;141:104359 View
  79. Abbasian M, Khatibi E, Azimi I, Rahmani A. PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack. Procedia Computer Science 2023;220:511 View
  80. Andrews J, Craven M, Guo B, Weyer J, Lees S, Zormpas S, Thorpe S, Devonshire J, San Antonio-Arce V, Whitehouse W, Julie J, Malins S, Hammers A, Reif A, Ruhe H, Durbano F, Barlati S, Sen A, Frederiksen J, Martinelli A, Callen A, Torras-Borrell J, Berrocal-Izquierdo N, Zabalza A, Morriss R, Hollis C. Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study. JMIR Neurotechnology 2023;2:e41439 View
  81. Siddi S, Bailon R, Giné-Vázquez I, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Lombardini F, Annas P, Hotopf M, Penninx B, Ivan A, White K, Difrancesco S, Locatelli P, Aguiló J, Peñarrubia-Maria M, Narayan V, Folarin A, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rintala A, de Girolamo G, Simblett S, Wykes T, Myin-Germeys I, Dobson R, Haro J. The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity. Psychological Medicine 2023;53(8):3249 View
  82. Šutić L, Novak M. Daily Life Methods in Adolescence and Emerging Adulthood Studies in Croatia, Serbia, and Slovenia: A Scoping Review. Youth 2023;3(4):1137 View
  83. Jang D, Jo J. GameDepot: A Visual Analytics System for Mobile Game Performance Testing. IEEE Access 2023;11:83251 View
  84. Muurling M, Pasmooij A, Koychev I, Roik D, Froelich L, Schwertner E, Religa D, Abdelnour C, Boada M, Almici M, Galluzzi S, Cardoso S, de Mendonça A, Owens A, Kuruppu S, Gjestsen M, Lazarou I, Gkioka M, Tsolaki M, Diaz A, Gove D, Visser P, Aarsland D, Lucivero F, de Boer C, Chu D. Ethical challenges of using remote monitoring technologies for clinical research: A case study of the role of local research ethics committees in the RADAR-AD study. PLOS ONE 2023;18(7):e0285807 View
  85. Sun S, Folarin A, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Matcham F, Leightley D, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Nica R, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Vairavan S, Narayan V, Annas P, Hotopf M, Dobson R. Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis. Journal of Medical Internet Research 2023;25:e45233 View
  86. Ikäheimonen A, Triana A, Luong N, Ziaei A, Rantaharju J, Darst R, Aledavood T. Niimpy: A toolbox for behavioral data analysis. SoftwareX 2023;23:101472 View
  87. Abreu M, Carmo A, Peralta A, Sá F, Plácido da Silva H, Bentes C, Fred A. PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy. Frontiers in Physiology 2023;14 View
  88. Labbaf S, Abbasian M, Azimi I, Dutt N, Rahmani A. ZotCare: a flexible, personalizable, and affordable mhealth service provider. Frontiers in Digital Health 2023;5 View
  89. Sun S, Denyer H, Sankesara H, Deng Q, Ranjan Y, Conde P, Rashid Z, Bendayan R, Asherson P, Bilbow A, Groom M, Hollis C, Folarin A, Dobson R, Kuntsi J. Remote Administration of ADHD-Sensitive Cognitive Tasks: A Pilot Study. Journal of Attention Disorders 2023;27(9):1040 View
  90. Lewetz D, Stieger S. ESMira: A decentralized open-source application for collecting experience sampling data. Behavior Research Methods 2023 View
  91. Cummins N, Dineley J, Conde P, Matcham F, Siddi S, Lamers F, Carr E, Lavelle G, Leightley D, White K, Oetzmann C, Campbell E, Simblett S, Bruce S, Haro J, Penninx B, Ranjan Y, Rashid Z, Stewart C, Folarin A, Bailón R, Schuller B, Wykes T, Vairavan S, Dobson R, Narayan V, Hotopf M. Multilingual markers of depression in remotely collected speech samples: A preliminary analysis. Journal of Affective Disorders 2023;341:128 View
  92. White K, Carr E, Leightley D, Matcham F, Conde P, Ranjan Y, Simblett S, Dawe-Lane E, Williams L, Henderson C, Hotopf M. Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e44214 View
  93. Althobiani M, Ranjan Y, Jacob J, Orini M, Dobson R, Porter J, Hurst J, Folarin A. Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study. JMIR Formative Research 2023;7:e51507 View
  94. Dalla Costa G, Nos C, Zabalza A, Buron M, Magyari M, Sellebjerg F, Guerrero A, Roselli L, La Porta M, Martinis M, Bailon R, Kontaxis S, Laporta E, Garcia E, Pokorny F, Schuller B, Folarin A, Stewart C, Leocani L, Vairavan S, Cummins N, Dobson R, Hotopf M, Narayan V, Montalban X, Sorensen P, Comi G. A wearable device perspective on the standard definitions of disability progression in multiple sclerosis. Multiple Sclerosis Journal 2024;30(1):103 View
  95. Gopalakrishnan A, Gururajan R, Zhou X, Venkataraman R, Chan K, Higgins N. A survey of autonomous monitoring systems in mental health. WIREs Data Mining and Knowledge Discovery 2024;14(3) View
  96. Adasuriya G, Barsky A, Kralj-Hans I, Mohan S, Gill S, Chen Z, Jarman J, Jones D, Valli H, Gkoutos G, Markides V, Hussain W, Wong T, Kotecha D, Haldar S. Remote monitoring of atrial fibrillation recurrence using mHealth technology (REMOTE-AF). European Heart Journal - Digital Health 2024;5(3):344 View
  97. Zhang Y, Folarin A, Dineley J, Conde P, de Angel V, Sun S, Ranjan Y, Rashid Z, Stewart C, Laiou P, Sankesara H, Qian L, Matcham F, White K, Oetzmann C, Lamers F, Siddi S, Simblett S, Schuller B, Vairavan S, Wykes T, Haro J, Penninx B, Narayan V, Hotopf M, Dobson R, Cummins N. Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. Journal of Affective Disorders 2024;355:40 View
  98. Zhang Y, Folarin A, Sun S, Cummins N, Ranjan Y, Rashid Z, Stewart C, Conde P, Sankesara H, Laiou P, Matcham F, White K, Oetzmann C, Lamers F, Siddi S, Simblett S, Vairavan S, Myin-Germeys I, Mohr D, Wykes T, Haro J, Annas P, Penninx B, Narayan V, Hotopf M, Dobson R. Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis. Journal of Medical Internet Research 2024;26:e55302 View
  99. Langer P, Altmüller S, Fleisch E, Barata F. CLAID: Closing the Loop on AI & Data Collection — A cross-platform transparent computing middleware framework for smart edge-cloud and digital biomarker applications. Future Generation Computer Systems 2024;159:505 View
  100. Kuehne C, Phillips M, Moody S, Bryson C, Campbell I, Conde P, Cummins N, Desrivières S, Dineley J, Dobson R, Douglas D, Folarin A, Gallop L, Hemmings A, İnce B, Mason L, Rashid Z, Bromell A, Sims C, Allen K, Bailie C, Bains P, Basher M, Battisti F, Baudinet J, Bristow K, Dawson N, Dodd L, Frater V, Freudenthal R, Gripton B, Kan C, Khor J, Kotze N, Laverack S, Martin L, Maxwell S, McDonald S, McKnight D, McKay R, Merrin J, Nash M, Nicholls D, Palmer S, Pearce S, Roberts C, Serpell L, Severs E, Simic M, Staton A, Westaway S, Sharpe H, Schmidt U, Bartel H, French T, Kelly J, Micali N, Raman S, Treasure J, Malik U, Rabelo-da-Ponte D, Stephens F, Opitz T, Trompeter N, Wilkins J, Parnell T, Abbas R, Davis G, Eadie C, Gracie L, Heslop B, McKenzie K, Odubanjo E, Sims C, Street T, Tavares-Semedo A, Wilkinson E, Zocek L. Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol. BMC Psychiatry 2024;24(1) View
  101. Tziomaka M, Kallipolitis A, Menychtas A, Gallos P, Panagopoulos C, Vassiliou A, Jahaj E, Dimopoulou I, Kotanidou A, Maglogiannis I. Extracting Interpretable Knowledge from the Remote Monitoring of COVID-19 Patients. Machine Learning and Knowledge Extraction 2024;6(2):1323 View
  102. Stegmann G, Krantsevich C, Liss J, Charles S, Bartlett M, Shefner J, Rutkove S, Kawabata K, Talkar T, Berisha V. Automated speech analytics in ALS: higher sensitivity of digital articulatory precision over the ALSFRS-R. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2024:1 View

Books/Policy Documents

  1. Carswell C, Rea P. Biomedical Visualisation. View
  2. Bhattacherjee P, Choudhary M, Das T, Chaudhary A, Shukla S, Patra S. Sensing Tools and Techniques for COVID-19. View
  3. Hamzah A, Nadzirah S. Encyclopedia of Sensors and Biosensors. View
  4. Terhorst Y, Knauer J, Baumeister H. Digital Phenotyping and Mobile Sensing. View
  5. Khanshan A, Van Gorp P, Markopoulos P. Pervasive Computing Technologies for Healthcare. View