Body sensor networks to evaluate standing balance: Interpreting muscular activities based on inertial sensors

Rohith Ramachandran, Lakshmish Ramanna, Hassan Ghasemzadeh, Gaurav Pradhan, Roozbeh Jafari, Balakrishnan Prabhakaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

Abstract

In this paper, we present a system that integrates inertial sensors and electromyogram (EMG) signals, which measures the muscular activities while performing motions. The objective of our study is to investigate the behaviour of the EMG signals to interpret the activity of standing balance. Quantitative parameters for balance are obtained from an inertial sensor through a body-sensor network. These parameters are further used to find the prominent features in the EMG signal. The inertial sensor used in this system is an accelerometer. The implementation details and effectiveness of using EMG signals are also provided.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08
DOIs
StatePublished - 2008
Externally publishedYes
Event2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08 - Breckenridge, CO, United States
Duration: Jun 17 2008Jun 17 2008

Publication series

NameProceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08

Other

Other2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08
Country/TerritoryUnited States
CityBreckenridge, CO
Period6/17/086/17/08

Keywords

  • Balance
  • EMG
  • Inertial sensors

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Health(social science)
  • Health Information Management

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