The #opensource platform for sensor data collection using apps, phones and @wearables. Used in #mentalHealth #Epilepsy #MultipleSclerosis @RADAR_CNS @TheHyveNL

Joined June 2017
28 Photos and videos
Pinned Tweet
Yes! Paper accepted! doi.org/10.2196/11734 RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data Using Sensors, Wearables, and Mobile Devices #digitalhealth #mHealth via @jmirpub @ranjan_yatharth @amosfolarin @RADARCNS @TheHyveNL
3
21
41
RADAR-base.org retweeted
NEW Research: Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study. @callumstew @ranjan_yatharth @richdobson @amosfolarin Read it here: buff.ly/4fK6jTC
11
11
1,409
#HereWeGo 🚨new paper🚨 "Consumer wearable devices for evaluation of heart rate control using digoxin versus beta-blockers: the RATE-AF randomized trial" #mHealth #decentralizedtrials #atrialfibrillation @fitbit nature.com/articles/s41591-0…

3
4
1,064
RADAR-base.org retweeted
1/10 New research: RADAR-IoT, an open-source IoT gateway framework for health research, combines static sensors with wearables for a 360-degree view of patient health and environment.#HealthTech #IoT @amosfolarin @richdobson @Zulqarnain_RD @radar_base @phidatalab @NIHRMaudsleyBRC
1
3
7
406
RADAR-base.org retweeted
18 Jun 2024
We're looking for healthy volunteers aged 20-30 to collect passive & active data to study sleep & mood. Participation lasts from a month to a year, and you get a Fitbit. If interested, fill out the self-screening form (bit.ly/4b9L9e7) or email isabel.d.yorke@kcl.ac.uk
4
4
351
RADAR-base.org retweeted
🌏Respirology Home monitoring to detect progression of #ILD : A prospective cohort study reported in #Respirology #OpenAccess onlinelibrary.wiley.com/doi/… @DrMal1k @UCLAHealth
3
4
2,180
RADAR-base.org retweeted
New publication: 'Identifying Depression-Related Topics in Smartphone-Collected Free-Response Speech Recordings Using an Automatic Speech Recognition System and a Deep Learning Topic Model'. doi.org/10.1016/j.jad.2024.0… @nickcummins41 @richdobson @amosfolarin @MatthewHotopf
1
4
7
309
RADAR-base.org retweeted
،خبر سعيد جداً وصلني، وسعادة لاتوصف الحمدلله Absolutely fantastic news!!! Receiving this email has really made my day 😍. Our manuscript, ‘Home Monitoring to Detect Progression of Interstitial Lung Disease: Prospective Cohort Study’ has been accepted for publication in the prestigious journal Respirology! Feeling honored & grateful to share this
16
16
62
16,558
Read about linking mobile health and wearable research data to registries and clinical data using the RADAR-base Active App NHS-id recovery instrument. 🤝 with the British Heart Foundation (@TheBHF) radar-base.org/2024/02/19/%f…
1
6
14
1,206
RADAR-base.org retweeted
Read more about our new MRC-funded research programme on #ADHD transition here: kcl.ac.uk/news/2.5m-funding-… Our @KingsIoPPN team looks forward to working with Andrea Bilbow @UK_ADHD, @MJGroom @NIHR_MindTech and @TheHyveNL

1
7
16
2,107
RADAR-base.org retweeted
Thrilled to share that our multi-centre #RFH & #UCLH prospective cohort study results are now published in @jmirpub . We investigated the feasibility and acceptability of a real-time multimodal programme using commercially available wearable technology @Garmin, home-spirometers @NuvoAir, and smartphone app @radar_base for patients with #ILD, #COPD, and #Covid_19 . This couldn't have been possible without the incredible guidance of @ProfHurst , @DrJoPorter , @amosfolarin ,@richdobson . Special thanks to @ranjan_yatharth for his exceptional effort and to the co-authors Dr. Joseph Jacob and Dr.Michele Orini for their valuable contributions.
JMIR Formative Res: Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study dlvr.it/SzGG7v
10
22
37
18,860
Great to see our very own @DrHelenSharpe present the @EDIFYresearch project at the research showcase for the Centre for Research in Eating and Weight Disorders @kingsedresearch
6
24
3,999
RADAR-base.org retweeted
13 Oct 2023
Replying to @richdobson
@richdobson talk on the @radar_base platform for mHealth research at the 4th International Congress on Mobile Health and Digital Technology in Epilepsy #EpilepsyCongress Inspiring discussions. Thanks for organising such a great event #MHDTE mhdtepilepsy.com/?e=1501
6
10
728
RADAR-base.org retweeted
12 Oct 2023
Read our latest update on research into the potential of speech #data recorded from #smartphones to monitor #depression 🔽 radar-cns.org/newsroom/how-c… @nickcummins41 @judedineley @MatthewHotopf @ecampbelldsp @radar_base @KingsIoPPN @NIHRMaudsleyBRC @IHIEurope
3
8
18
2,115
RADAR-base.org retweeted
Come work with us on understanding how the menstrual cycle may affect women with ADHD!
Please check out our new part-time Research Assistant post at QMUL supporting the MAAM (Measuring Adult ADHD and Menstruation) Study qmul.ac.uk/jobs/vacancies/it… closes Sept 26th! #ADHDwomen
1
16
32
6,203
RADAR-base.org retweeted
We're excited to be working with @agnew_blais on @theMAAMstudy on women with ADHD that uses our remote monitoring system and the smart ring @ouraring @radar_base @richdobson Check the link below for a great RA opportunity on this project ⬇️ Closes tomorrow!
Come work with us on understanding how the menstrual cycle may affect women with ADHD!
4
11
1,233
RADAR-base.org retweeted
Each of our wonderful ART-CARMA participants completes: · Two baseline assessments including clinical interviews, cognitive tasks and an introduction to @radar_base and @empatica apps · A 12-month remote monitoring period, starting one month before they begin #ADHD medication
Another milestone met for the ART-CARMA study... 100 participants enrolled! Huge congratulations to the teams in London and Barcelona and thank you to our participants and collaborators! 🌟
3
3
593
RADAR-base.org retweeted
This new preprint nicely brings #mHealth and #nlp components from @phidatalab together into one pipeline: @RADAR_base for collection of speech from smartphones -> Speech-to-text (using @OpenAI Whisper) -> Text analysis -> Depression symptom association
🚩🚩Our new preprint🚩🚩 "Identifying depression-related topics in smartphone-collected free-response speech tasks using an automatic speech recognition system and a deep learning topic model" 👉arxiv.org/abs/2308.11773 @nickcummins41 @richdobson @MatthewHotopf @amosfolarin
3
12
773
RADAR-base.org retweeted
We identified 29 topics in 3919 transcribed speech texts from 265 participants (from the RADAR-MDD study). Six topics with a median PHQ-8 score ≥ 10 (depression screening threshold) were regarded as risk topics. @RADARCNS @radar_base
1
2
4
205