SenseMyHeart: A Cloud Service and API for Wearable Heart Monitors

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Pinto Silva, PMP (Autor) Outra; Cunha, JPS (Autor) FEUP

Ata de Conferência Internacional

Título: 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Páginas: 4986-4989

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Milan, ITALY, AUG 25-29, 2015

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: P-00K-03H

DOI: 10.1109/embc.2015.7319511

Abstract (EN): In the era of ubiquitous computing, the growing adoption of wearable systems and body sensor networks is trailing the path for new research and software for cardiovascular intensity, energy expenditure and stress and fatigue detection through cardiovascular monitoring. Several systems have received clinical-certification and provide huge amounts of reliable heart-related data in a continuous basis. PhysioNet provides equally reliable open-source software tools for ECG processing and analysis that can be combined with these devices. However, this software remains difficult to use in a mobile environment and for researchers unfamiliar with Linux-based systems. In the present paper we present an approach that aims at tackling these limitations by developing a cloud service that provides an API for a PhysioNet-based pipeline for ECG processing and Heart Rate Variability measurement. We describe the proposed solution, along with its advantages and tradeoffs. We also present some client tools (windows and Android) and several projects where the developed cloud service has been used successfully as a standard for Heart Rate and Heart Rate Variability studies in different scenarios.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4