Your browser doesn't support javascript.
loading
Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner.
Dobrescu, Cosmin C; González, Iván; Carneros-Prado, David; Fontecha, Jesús; Nugent, Christopher.
Affiliation
  • Dobrescu CC; Departament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.
  • González I; Departament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.
  • Carneros-Prado D; Departament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.
  • Fontecha J; Departament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.
  • Nugent C; School of Computing, Ulster University, Belfast BT15 1ED, UK.
Sensors (Basel) ; 24(15)2024 Aug 01.
Article in En | MEDLINE | ID: mdl-39124029
ABSTRACT
This study introduces a lightweight storage system for wearable devices, aiming to optimize energy efficiency in long-term and continuous monitoring applications. Utilizing Direct Memory Access and the Serial Peripheral Interface protocol, the system ensures efficient data transfer, significantly reduces energy consumption, and enhances the device autonomy. Data organization into Time Block Data (TBD) units, rather than files, significantly diminishes control overhead, facilitating the streamlined management of periodic data recordings in wearable devices. A comparative analysis revealed marked improvements in energy efficiency and write speed over existing file systems, validating the proposed system as an effective solution for boosting wearable device performance in health monitoring and various long-term data acquisition scenarios.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Type: Article Affiliation country: Spain

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Type: Article Affiliation country: Spain