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A smartphone application toward detection of systolic hypertension in underserved populations.
Landry, Cederick; Dhamotharan, Vishaal; Freithaler, Mark; Hauspurg, Alisse; Muldoon, Matthew F; Shroff, Sanjeev G; Chandrasekhar, Anand; Mukkamala, Ramakrishna.
Afiliação
  • Landry C; Department of Bioengineering, University of Pittsburgh, 408 Benedum Hall, 3700 O'Hara Street, Pittsburgh, PA, 15261, USA.
  • Dhamotharan V; Department of Mechanical Engineering, University of Sherbrooke, Sherbrooke, QC, Canada.
  • Freithaler M; Department of Bioengineering, University of Pittsburgh, 408 Benedum Hall, 3700 O'Hara Street, Pittsburgh, PA, 15261, USA.
  • Hauspurg A; Department of Bioengineering, University of Pittsburgh, 408 Benedum Hall, 3700 O'Hara Street, Pittsburgh, PA, 15261, USA.
  • Muldoon MF; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Shroff SG; Magee Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
  • Chandrasekhar A; Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Mukkamala R; Department of Bioengineering, University of Pittsburgh, 408 Benedum Hall, 3700 O'Hara Street, Pittsburgh, PA, 15261, USA.
Sci Rep ; 14(1): 15410, 2024 07 04.
Article em En | MEDLINE | ID: mdl-38965318
ABSTRACT
High systolic blood pressure (BP) is the most important modifiable risk factor for cardiovascular disease. Managing systolic hypertension is especially difficult in underserved populations wherein access to cuff BP devices is limited. We showed that ubiquitous smartphones without force sensing can be converted into absolute pulse pressure (PP) monitors. The concept is for the user to perform guided thumb and hand maneuvers with the phone to induce cuff-like actuation and allow built-in sensors to make cuff-like measurements for computing PP. We developed an Android smartphone PP application. The 'app' could be learned by volunteers and yielded PP with total error < 8 mmHg against cuff PP (N = 24). We also analyzed a large population-level database comprising adults less than 65 years old to show that PP plus other basic information can detect systolic hypertension with ROC AUC of 0.9. The smartphone PP app could ultimately help reduce the burden of systolic hypertension in underserved populations and thus health disparities.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aplicativos Móveis / Smartphone / Hipertensão Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aplicativos Móveis / Smartphone / Hipertensão Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos