LabVIEW based Abnormal Muscular Movement and Fall Detection using MEMS Accelerometer during the Occurrence of Seizure

P  Grace Kanmani Prince; Rani Hemamalini  and R  Immanuel Rajkumar

doi:10.17485/ijst/2014/v7i10.9

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LabVIEW based Abnormal Muscular Movement and Fall Detection using MEMS Accelerometer during the Occurrence of Seizure

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7i10.9

Year: 2014, Volume: 7, Issue: 10, Pages: 1625–1631

Original Article

LabVIEW based Abnormal Muscular Movement and Fall Detection using MEMS Accelerometer during the Occurrence of Seizure

P. Grace Kanmani Prince¹ , Rani Hemamalini² and R. Immanuel Rajkumar¹

1 Sathyabama University, Chennai, India; coggrace05@gmail.com
2 St. Peter’s College of engineering and Technology, Chennai, India

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The manifestation of seizure in patients can be in the form of abnormal muscular movement occurring at the extremities and it can cause sudden fall to the patients which can lead to injuries. MEMS accelerometer MPU6050 is used to acquire the signals from the extremities to detect abnormal movements and sudden fall. The signals are received through an interfacing device named Arduino Uno and are processed using LabVIEW software. The Wavelet transform is used for detecting the changes in movement of the extremity and a thresholding technique is used for seizure detection and fall detection. Once a seizure or fall is detected then a message is sent to the caretaker through GSM.

Keywords: Abnormal Muscular Movement, Fall Detection, Mems Accelerometer, Seizure, Wavelet Transform