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Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study

Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study

Inan et al [9] recorded seismocardiogram signals with a noninvasive wearable patch before and after a 6-minute walk test to analyze the cardiac response to exercise. The authors used graph similarity scores between the rest and recovery phases and found a significant difference between compensated and decompensated groups. In another example, similarity-based modeling was used with physiological signals from a patch on the chest to detect changes from the baseline.

Ayse S Cakmak, Erick A Perez Alday, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J Rozell, Omer T Inan, Amit J Shah, Gari D Clifford

JMIR Form Res 2022;6(8):e36972

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Enabling Wearable Pulse Transit Time-Based Blood Pressure Estimation for Medically Underserved Areas and Health Equity: Comprehensive Evaluation Study

Enabling Wearable Pulse Transit Time-Based Blood Pressure Estimation for Medically Underserved Areas and Health Equity: Comprehensive Evaluation Study

Participant demographics and cardiovascular parameters for study participants (grouped by cohort; N=44). a Statistical significance between groups in values, where applicable, was computed using an unpaired two-tailed t test. b N/A: not applicable. c Obesity classified using the BMI per the guidelines from the National Heart, Lung, and Blood Institute of the National Institutes of Health [21] (I: BMI=30-34.9; II: BMI=35-39.9; III: BMI ≥40). d Participant 23. e Participants 30 and 43. f Participants 38, 40, and 42.

Venu Ganti, Andrew M Carek, Hewon Jung, Adith V Srivatsa, Deborah Cherry, Levather Neicey Johnson, Omer T Inan

JMIR Mhealth Uhealth 2021;9(8):e27466

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Article has an altmetric score of 10

Digital Cardiovascular Biomarker Responses to Transcutaneous Cervical Vagus Nerve Stimulation: State-Space Modeling, Prediction, and Simulation

Digital Cardiovascular Biomarker Responses to Transcutaneous Cervical Vagus Nerve Stimulation: State-Space Modeling, Prediction, and Simulation

The metric used herein for evaluation is the fit %, defined as: where ŷ=[ŷ1 ŷ2… ŷN]T represents the predicted output values from time step 1 to N and y=[y1y2… y N]T represents the true output. This exact metric has been widely used to quantify time-series model validity (eg, [21,24]), along with its variants (eg, [33]).

Asim H Gazi, Nil Z Gurel, Kristine L S Richardson, Matthew T Wittbrodt, Amit J Shah, Viola Vaccarino, J Douglas Bremner, Omer T Inan

JMIR Mhealth Uhealth 2020;8(9):e20488

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Article has an altmetric score of 3