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

Viewpoints and Perspectives (514) Digital Medicine Society (DiMe) (11) Wearable Devices and Sensors (890) Big Data (241) Data Science (271)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34493, first published .
Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

Authors of this article:

Ieuan Clay1 Author Orcid Image ;   Christian Angelopoulos2 Author Orcid Image ;   Anne Lord Bailey3 Author Orcid Image ;   Aaron Blocker4 Author Orcid Image ;   Simona Carini5 Author Orcid Image ;   Rodrigo Carvajal6 Author Orcid Image ;   David Drummond7 Author Orcid Image ;   Kimberly F McManus3 Author Orcid Image ;   Ingrid Oakley-Girvan8 Author Orcid Image ;   Krupal B Patel6 Author Orcid Image ;   Phillip Szepietowski6 Author Orcid Image ;   Jennifer C Goldsack1 Author Orcid Image
Article Authors Cited by (8) Tweetations (14) Metrics

Journals

  1. Egermark M, Blasiak A, Remus A, Sapanel Y, Ho D. Overcoming Pilotitis in Digital Medicine at the Intersection of Data, Clinical Evidence, and Adoption. Advanced Intelligent Systems 2022;4(9) View
  2. Palmerini L, Reggi L, Bonci T, Del Din S, Micó-Amigo M, Salis F, Bertuletti S, Caruso M, Cereatti A, Gazit E, Paraschiv-Ionescu A, Soltani A, Kluge F, Küderle A, Ullrich M, Kirk C, Hiden H, D’Ascanio I, Hansen C, Rochester L, Mazzà C, Chiari L. Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization. Scientific Data 2023;10(1) View
  3. 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
  4. Yogev D, Goldberg T, Arami A, Tejman-Yarden S, Winkler T, Maoz B. Current state of the art and future directions for implantable sensors in medical technology: Clinical needs and engineering challenges. APL Bioengineering 2023;7(3) View
  5. Clay I, De Luca V, Sano A. Editorial: Multimodal digital approaches to personalized medicine. Frontiers in Big Data 2023;6 View
  6. Clay I, Peerenboom N, Connors D, Bourke S, Keogh A, Wac K, Gur-Arie T, Baker J, Bull C, Cereatti A, Cormack F, Eggenspieler D, Foschini L, Ganea R, Groenen P, Gusset N, Izmailova E, Kanzler C, Leyens L, Lyden K, Mueller A, Nam J, Ng W, Nobbs D, Orfaniotou F, Perumal T, Piwko W, Ries A, Scotland A, Taptiklis N, Torous J, Vereijken B, Xu S, Baltzer L, Vetter T, Goldhahn J, Hoffmann S. Reverse Engineering of Digital Measures: Inviting Patients to the Conversation. Digital Biomarkers 2023:28 View
  7. Yamamoto K, Sakaguchi M, Onishi A, Yokoyama S, Matsui Y, Yamamoto W, Onizawa H, Fujii T, Murata K, Tanaka M, Hashimoto M, Matsuda S, Morinobu A, Kuwana M. Energy landscape analysis and time-series clustering analysis of patient state multistability related to rheumatoid arthritis drug treatment: The KURAMA cohort study. PLOS ONE 2024;19(5):e0302308 View
  8. Lochan K, Khan A, Elsayed I, Suthar B, Seneviratne L, Hussain I. Advancements in Precision Spraying of Agricultural Robots: A Comprehensive Review. IEEE Access 2024;12:129447 View