Found 35 results
Type [ Year(Desc)]
B Bent, and JP Dunn. "Wearables in the SARS-CoV-2 Pandemic: What Are They Good for?" Jmir Mhealth and Uhealth 8, no. 12 (2020): e25137.
B Bent, M Henriquez, and J Dunn. "Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data." Ieee Open Journal of Engineering in Medicine and Biology 2 (2021): 263-266.
B Bent, I Sim, and JP Dunn. "Digital Medicine Community Perspectives and Challenges: Survey Study." Jmir Mhealth and Uhealth 9, no. 2 (2021): e24570.
B Bent, PJ Cho, M Henriquez, A Wittmann, C Thacker, M Feinglos, MJ Crowley, and JP Dunn. "Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches." Npj Digital Medicine 4, no. 1 (2021).
B Bent, PJ Cho, A Wittmann, C Thacker, S Muppidi, M Snyder, MJ Crowley, M Feinglos, and JP Dunn. "Non-invasive wearables for remote monitoring of HbA1c and glucose variability: Proof of concept." Bmj Open Diabetes Research & Care 9, no. 1 (2021).
MMH Shandhi, JC Goldsack, K Ryan, A Bennion, AV Kotla, A Feng, Y Jiang, WK Wang, T Hurst, J Patena et al. "Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review." Journal of Medical Internet Research 23, no. 9 (2021).
B Bent, OM Enache, B Goldstein, W Kibbe, and JP Dunn. "Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'." Npj Digital Medicine 4, no. 1 (2021).
J Dunn, L Kidzinski, R Runge, D Witt, JL Hicks, SM Schüssler Rose, X Li, A Bahmani, SL Delp, T Hastie et al. "Wearable sensors enable personalized predictions of clinical laboratory measurements." Nature Medicine 27, no. 6 (2021): 1105-1112.
PJ Cho, J Yi, E Ho, MMH Shandhi, Y Dinh, A Patil, L Martin, G Singh, B Bent, G Ginsburg et al. "Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design." Jmir Mhealth and Uhealth 10, no. 4 (2022).
J Dunn, MMH Shandhi, P Cho, A Roghanizad, K Singh, W Wang, O Enache, A Stern, R Sbahi, B Tatar et al. "A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19." Res Sq (2022).