RADAR-base.org

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

[RADAR-base.org @radar_base]

Yes! Paper accepted! https://t.co/Rlc1Ozw9QR 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

[The Lancet Digital Health @LancetDigitalH]

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: https://t.co/buCMPb1gLF

[RADAR-base.org @radar_base]

#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
https://t.co/6rjQWr6jDt

[Yatharth Ranjan @ranjan_yatharth]

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

[PHIDL @phidatalab]

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 (https://t.co/V7ej7ca9Oe) or email [email protected]

[Respirology @RespirologyAPSR]

🌏Respirology
Home monitoring to detect progression of #ILD : A prospective cohort study reported in #Respirology

#OpenAccess
https://t.co/BxUCgS52HH
@DrMal1k @UCLAHealth

[Yuezhou Zhang @yuezhou_zhang]

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'. https://t.co/RxOH0jWaxi
@nickcummins41 @richdobson @amosfolarin @MatthewHotopf

[Malik A. Althobiani | مالك @DrMal1k]

،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

[RADAR-base.org @radar_base]

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)
https://t.co/RFCt2kl9My

[ADHD Remote Technology (ART) KCL @ADHD_RemoteTech]

Read more about our new MRC-funded research programme on #ADHD transition here:

https://t.co/xDPX81JmSv

Our @KingsIoPPN team looks forward to working with Andrea Bilbow @UK_ADHD, @MJGroom @NIHR_MindTech and @TheHyveNL

[Malik A. Althobiani | مالك @DrMal1k]

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.

[Eating Disorders and Behaviours Research Group @EatingResearch]

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

[RADAR-base.org @radar_base]

@xiaotan77 @RADARCNS @nickcummins41 @judedineley @MatthewHotopf @ecampbelldsp @KingsIoPPN @NIHRMaudsleyBRC @IHIEurope There's a preprint paper on depression topic modelling on transcribed RADAR-CNS audio text https://t.co/ry4jNnO7FN

[PHIDL @phidatalab]

@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 https://t.co/WvdWkWlObQ

[RADAR-CNS @RADARCNS]

Read our latest update on research into the potential of speech #data recorded from #smartphones to monitor #depression 🔽

https://t.co/NcsMkpdq42

@nickcummins41
@judedineley
@MatthewHotopf
@ecampbelldsp
@radar_base
@KingsIoPPN
@NIHRMaudsleyBRC
@IHIEurope

[RADAR-base.org @radar_base]

Superb work by RADAR-base intern Aditya Mishra @this_i_s_aditya integrating the Google Activities, Sleep and Places APIs into RADAR-base platform. Blog post here 👉 https://t.co/JA7V5RuVHt #digitalhealth #Google #KCL

[Jessica Agnew-Blais @agnew_blais]

Come work with us on understanding how the menstrual cycle may affect women with ADHD!

[ADHD Remote Technology (ART) KCL @ADHD_RemoteTech]

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!

[ADHD Remote Technology (ART) KCL @ADHD_RemoteTech]

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

[Richard Dobson @richdobson]

Nice blog from @ranjan_yatharth comparing @ouraring (gen 2) and @Garmin heart rate (HR) data from 2 devices that I wore ...... https://t.co/KVFLOhmMK3

[Richard Dobson @richdobson]

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