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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/7019
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dc.contributor.authorChau, Chi Chuenen_US
dc.date.accessioned2013-08-26T08:02:58Z
dc.date.accessioned2017-09-19T09:13:40Z
dc.date.accessioned2019-02-12T07:31:39Z-
dc.date.available2013-08-26T08:02:58Z
dc.date.available2017-09-19T09:13:40Z
dc.date.available2019-02-12T07:31:39Z-
dc.date.issued2013en_US
dc.identifier.other2013eeccc223en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/7019-
dc.description.abstractThis project is going to use Philips NXP LPC11C14 board development for constructing an oximetry device with wireless capability. The Philips NXP LPC11C14 is an ARM-based Cortex-M0 microcontroller designed for 8 or 16-bit microcontroller applications, which is offering high performance, lower power consumption, simple instruction set and memory addressing together with reduced code size compared to the existing 8 or 16-bit microcontrollers. As ARM Cortex-M0 microcontroller can be treated as an effective strategy for a low power consumption system. As for compressing, filtering or analysing of analog sensor sample data of the oximetry with the RF transceiver will relatively better power saving performance. In a heartbeat rate monitor application, this means that only a beats per minute (BPM) of data needs to be transmitted wirelessly rather than the entire sensor sample data stream. The NXP LPC11C14 development board has included many functions, such as light detection, temperature & humidity measurement, Zigbee wireless communication, RFID, etc. Based on the Zigbee wireless function provided, a wireless electrocardiogram (ECG) monitoring system is designed and implemented in this project. Not only the pulse detection and measurement designed by a MSP430FG439 microcontroller (MCU), but also it includes the analog-to-digital conversion (ADC), digital signal filtering, QRS wave detection, and heart rate calculation. After collecting the patient's ECG signals which will then be amplified and filtered by MSP430FG439, and data will be sent to the central processor for computing by using the on-chip ZICM2410 transmission module through a Zigbee network. Of course, MSP430FG439 (MCU) is helping to display the ECG signals, implementing the real time acquisition and short distance transmission of ECG data. Due to its characteristics of low power consumption, real time, reliability and intelligent, this design can then be widely used in fitness centres, clinics, community healthcare and home healthcare centres, as well as in healthcare facilities.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleWireless Oximetryen_US
dc.contributor.departmentDepartment of Electronic Engineeringen_US
dc.description.supervisorSupervisor: Dr. Cheng, L L; Assessor: Dr. Chan, Stanley C Fen_US
Appears in Collections:Electrical Engineering - Undergraduate Final Year Projects 

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