Motion sensor interface for body activity monitoring

Diabetic foot ulcer (DFU) is a debilitating complication of diabetes. It caused great vessels and foot nerve lesions, and lead to local tissue ulceration, infection, osteomyelitis, necrosis and so on. This diminishes the body’s natural protective mechanism. Foot pressure measurement devices have bee...

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Main Author: Ang, Deng
Other Authors: Goh Wang Ling
Format: Final Year Project
Language:English
Published: 2018
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Online Access:http://hdl.handle.net/10356/74547
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-745472023-07-07T15:54:34Z Motion sensor interface for body activity monitoring Ang, Deng Goh Wang Ling School of Electrical and Electronic Engineering A*STAR Institute of Microelectronics DRNTU::Engineering Diabetic foot ulcer (DFU) is a debilitating complication of diabetes. It caused great vessels and foot nerve lesions, and lead to local tissue ulceration, infection, osteomyelitis, necrosis and so on. This diminishes the body’s natural protective mechanism. Foot pressure measurement devices have been used for adjusting footwear or alerting the patient of high pressure, but they are still in the infancy phase. The aim of this project is to develop a novel wearable intelligent foot pressure monitoring device. It will be able to perform comprehensive pressure, human activity analysis and real-time biofeedback. Meanwhile, this device is designed for miniaturization, ultra-low power consumption and low cost. In this project, a broad level foot pressure monitoring device and a digital signal processor system need be design. Therefore, a proper machine learning classifier need be chosen to perform in-device motion activity analysis. Moreover, to perform dynamic sensor monitoring system, a proper sensor inter-face circuit need to be designed. MATLAB is used to check the performance of random-forest (one of supervised classifier), in order to obtain the relationship between accuracy and processing time, power consumption of random-forest. Cadence Virtuoso Analog Design Environment is used to design the schematic of Op-amp inside sensor interface circuit, which use Op-amp AD8553 as reference. This Op-amp is used to amplify the signal captured from pressure sensors. In addition, testing on pressure sensors was also performed to determine several resistances value in the sensor interface circuit. It also used to find out the calibration methods for conducting pressure analysis. Bachelor of Engineering 2018-05-21T06:53:17Z 2018-05-21T06:53:17Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74547 en Nanyang Technological University 66 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Ang, Deng
Motion sensor interface for body activity monitoring
description Diabetic foot ulcer (DFU) is a debilitating complication of diabetes. It caused great vessels and foot nerve lesions, and lead to local tissue ulceration, infection, osteomyelitis, necrosis and so on. This diminishes the body’s natural protective mechanism. Foot pressure measurement devices have been used for adjusting footwear or alerting the patient of high pressure, but they are still in the infancy phase. The aim of this project is to develop a novel wearable intelligent foot pressure monitoring device. It will be able to perform comprehensive pressure, human activity analysis and real-time biofeedback. Meanwhile, this device is designed for miniaturization, ultra-low power consumption and low cost. In this project, a broad level foot pressure monitoring device and a digital signal processor system need be design. Therefore, a proper machine learning classifier need be chosen to perform in-device motion activity analysis. Moreover, to perform dynamic sensor monitoring system, a proper sensor inter-face circuit need to be designed. MATLAB is used to check the performance of random-forest (one of supervised classifier), in order to obtain the relationship between accuracy and processing time, power consumption of random-forest. Cadence Virtuoso Analog Design Environment is used to design the schematic of Op-amp inside sensor interface circuit, which use Op-amp AD8553 as reference. This Op-amp is used to amplify the signal captured from pressure sensors. In addition, testing on pressure sensors was also performed to determine several resistances value in the sensor interface circuit. It also used to find out the calibration methods for conducting pressure analysis.
author2 Goh Wang Ling
author_facet Goh Wang Ling
Ang, Deng
format Final Year Project
author Ang, Deng
author_sort Ang, Deng
title Motion sensor interface for body activity monitoring
title_short Motion sensor interface for body activity monitoring
title_full Motion sensor interface for body activity monitoring
title_fullStr Motion sensor interface for body activity monitoring
title_full_unstemmed Motion sensor interface for body activity monitoring
title_sort motion sensor interface for body activity monitoring
publishDate 2018
url http://hdl.handle.net/10356/74547
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