MEMS Based Sensing and Algorithm Development for Fall Detection and Gait Analysis

نویسندگان

  • Piyush Gupta
  • Gabriel Ramirez
  • Donald Y.C. Lie
  • Tim Dallas
  • Ron E. Banister
  • Andrew Dentino
چکیده

Falls by the elderly are highly detrimental to health, frequently resulting in injury, high medical costs, and even death. Using a MEMS-based sensing system, algorithms are being developed for detecting falls and monitoring the gait of elderly and disabled persons. In this study, wireless sensors utilize Zigbee protocols were incorporated into planar shoe insoles and a waist mounted device. The insole contains four sensors to measure pressure applied by the foot. A MEMS based tri-axial accelerometer is embedded in the insert and a second one is utilized by the waist mounted device. The primary fall detection algorithm is derived from the waist accelerometer. The differential acceleration is calculated from samples received in 1.5s time intervals. This differential acceleration provides the quantification via an energy index. From this index one may ascertain different gait and identify fall events. Once a pre-determined index threshold is exceeded, the algorithm will classify an event as a fall or a stumble. The secondary algorithm is derived from frequency analysis techniques. The analysis consists of wavelet transforms conducted on the waist accelerometer data. The insole pressure data is then used to underline discrepancies in the transforms, providing more accurate data for classifying gait and/or detecting falls. The range of the transform amplitude in the fourth iteration of a Daubechies-6 transform was found sufficient to detect and classify fall events.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Design and development of ShrewdShoe, a smart pressure sensitive wearable platform

     This study introduces a wearable in-shoe system for real-time monitoring and measurement of the plantar pressure distribution of the foot using eleven sensing elements. The sensing elements utilized in ShrewdShoe have been designed in an innovative way, they are based on a barometric pressure sensor covered with a silicon coating. The presented sensing element has great linearity up to 300...

متن کامل

Micro-cantilevered MEMS Biosensor for Detection of Malaria Protozoan Parasites

In this paper, the presented work aims to provide a designed model based on Finite element method for detection of Malaria protozoan parasites. Micro-cantilevers are next generation highly efficient biosensors for detection and prevention of any disease. Here, an E-shaped model for micro cantilevered biosensor is designed using COMSOL Multiphysics specifically for detection of Malaria. Microcan...

متن کامل

Simple Fall Criteria for MEMS Sensors: Data Analysis and Sensor Concept

This paper presents a new and simple fall detection concept based on detailed experimental data of human falling and the activities of daily living (ADLs). Establishing appropriate fall algorithms compatible with MEMS sensors requires detailed data on falls and ADLs that indicate clearly the variations of the kinematics at the possible sensor node location on the human body, such as hip, head, ...

متن کامل

A Fall Detection System based on the Type II Fuzzy Logic and Multi-Objective PSO Algorithm

The Elderly health is an important and noticeable issue; since these people are priceless resources of experience in the society. Elderly adults are more likely to be severely injured or to die following falls. Hence, fast detection of such incidents may even lead to saving the life of the injured person. Several techniques have been proposed lately for the fall detection of people, mostly cate...

متن کامل

A survey on Alzheimer’s disease detection using gait analysis

Introduction: Early detection of Alzheimer's disease (AD), as a neurodegenerative disease and the most common cause of dementia in the elderly people, using gait analysis have been particularly noted by researcher in recent years. Because this novel method is non-invasive, less cost, and feasible in non-clinical and laboratory environments. Therefore, in this Meta-Analysis review article, detec...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014