Physiological Parameters Measurement Based on Wheelchair Embedded Sensors and Advanced Signal Processing

• Tipo: Artigo em Revista Científica Internacional
• Data: 2010

Autores

Postolache, OA (Autor) Outra; Girao, PMBS (Autor) Outra; Joaquim Mendes (Autor) FEUP; Pinheiro, EC (Autor) Outra; Postolache, G (Autor) Outra

Revista

Título: IEEE Transactions on Instrumentation and Measurement

Vol. 59

Páginas: 2564-2574

ISSN: 0018-9456

Editora: IEEE

Indexação

ISI Web of Knowledge - 57 Citações

Scopus - 75 Citações

Outras Informações

ID Authenticus: P-003-2DW

DOI: 10.1109/tim.2010.2057590

Abstract (EN): This paper presents a multisensing system with wireless communication capabilities embedded on a smart wheelchair that can measure physiological parameters such as heart rate and respiratory rate in an unobtrusive way. Ballistocardiography (BCG) sensors and a three-axis inertial microelectromechanical system accelerometer are embedded on the seat or in the backrest of the wheelchair and the acquired data are transmitted by Wi-Fi to a laptop computer for advanced data processing and logging. In addition, a 3-D accelerometer with ZigBee communication capability is used to extract information about the user's posture. Considering the static and dynamic use of the wheelchair, an extended set of measurements for different utilization scenarios was analyzed. An important part of this paper is focused on BCG noise and artifacts removal and heart rate and respiratory rate accurate estimation from BCG signal using wavelet-based filtering and independent component analysis algorithms. A study on wavelet-based filtering considering different types of mother wavelets and different levels of decomposition was also carried out. In the future, other signals will also be acquired to improve the system capabilities and flexibility.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11