Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Activities of Daily Living Detection through Energy Consumption Data and Machine Learning to Support Independent Aging.

Journal of medical systems·2025
Same author

Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation.

JMIR rehabilitation and assistive technologies·2024
Same author

Detecting Respiratory Viruses Using a Portable NIR Spectrometer-A Preliminary Exploration with a Data Driven Approach.

Sensors (Basel, Switzerland)·2024
Same author

Data Mining and Fusion Framework for In-Home Monitoring Applications.

Sensors (Basel, Switzerland)·2023
Same author

A multimodal fusion enabled ensemble approach for human activity recognition in smart homes.

Health informatics journal·2023
Same author

Use and Trends of Diabetes Self-Management Technologies: A Correlation-Based Study.

Journal of diabetes research·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 17, 2025

A Real-Time Wearable Electromyography Measurement System for Small Animals
05:00

A Real-Time Wearable Electromyography Measurement System for Small Animals

Published on: November 15, 2024

583

Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner.

Cosmin C Dobrescu1, Iván González1, David Carneros-Prado1

  • 1Departament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a new lightweight storage system for wearable devices, significantly boosting energy efficiency and device autonomy for continuous health monitoring. The system uses Time Block Data units to streamline data management and reduce energy consumption.

Keywords:
DMA controllercontinuous monitoringembedded storage managementlong-term monitoringultra-low power data storagewearable devices

More Related Videos

Micro-drive Array for Chronic in vivo Recording: Drive Fabrication
14:03

Micro-drive Array for Chronic in vivo Recording: Drive Fabrication

Published on: April 20, 2009

25.2K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K

Related Experiment Videos

Last Updated: Jun 17, 2025

A Real-Time Wearable Electromyography Measurement System for Small Animals
05:00

A Real-Time Wearable Electromyography Measurement System for Small Animals

Published on: November 15, 2024

583
Micro-drive Array for Chronic in vivo Recording: Drive Fabrication
14:03

Micro-drive Array for Chronic in vivo Recording: Drive Fabrication

Published on: April 20, 2009

25.2K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Biomedical Engineering

Background:

  • Wearable devices require efficient data storage for long-term monitoring.
  • Existing storage systems often consume significant energy, limiting device autonomy.
  • Optimizing energy efficiency is crucial for continuous health data acquisition.

Purpose of the Study:

  • To introduce a lightweight storage system for wearable devices.
  • To enhance energy efficiency and autonomy in long-term monitoring applications.
  • To improve data management for periodic recordings.

Main Methods:

  • Utilized Direct Memory Access (DMA) and Serial Peripheral Interface (SPI) protocol.
  • Implemented Time Block Data (TBD) units for data organization, replacing traditional file systems.
  • Conducted comparative analysis against existing file systems.

Main Results:

  • Achieved significant reductions in energy consumption.
  • Demonstrated marked improvements in write speed compared to existing file systems.
  • Validated enhanced device autonomy for long-term data acquisition.

Conclusions:

  • The proposed lightweight storage system is effective for wearable devices.
  • The Time Block Data (TBD) approach reduces control overhead and streamlines data management.
  • The system offers a viable solution for improving performance in health monitoring and long-term data acquisition scenarios.