Siti Norhabibah
Universitas Muhammadiyah Malang

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Monitoring Walking Devices For Calorie Balance In Patients With Medical Rehabilitation Needs Wahyu Andhyka Kusuma, WAK; Zamah Sari; Diah Ayu Fitriani; Siti Norhabibah; Sabrina Nurul Ubay; Hardianto Wibowo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (418.931 KB) | DOI: 10.11591/eecsi.v5.1613

Abstract

This article presents a measurement system intended to monitor human footsteps. The goal is to guide the users medical rehabilitation incorrect use to prevent dangerous situations and maximize comfort. Indicators of risk in question: the imbalance of movement in motor coordination and the number of calories to be burned for medical rehabilitation patients by balancing the patient's needs. Measurements are made by placing the sensor on one of the patient's legs. The main sensor accelerometer used in this study. The measurement system comes with an application link that allows patients and therapists to monitor the activity. Calibration and experimental results are presented in this article.
Design and Build a Fall Detection Monitoring System for the Elderly Using an Accelerometer Siti Norhabibah; Wahyu Andhyka; Diah Risqiwati
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 1 No 1 (2017): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.853 KB) | DOI: 10.21070/10.21070/joincs.v1i1.803

Abstract

Elderly is a last transitional period of human life. Decrease or disappearance of organ function such as loss of balance, reduced vision and hearing cause the elderly often fall. The limited physical ability of them requires supervision. Supervision is necessary to avoid undesirable thing occurs. Here, a tool called accelerometer can be used to supervise and monitor whether the fall incident occurs or not to the elderly. In this study, the magnitude of the acceleration in x, y, and z axes of the accelerometer sensor is processed into a total value of acceleration. Then the value will be compared with the lower threshold value and the higher threshold value. After that the total value of the acceleration is compared again with the threshold value of the total value orientations. The total value of acceleration is used to distinguish between regular activity and falling. The results of this study indicate that the system developed has the sensitivity values of 89% and specificity of 98%.