| CODE | CCE5209 | ||||||||||||||||
| TITLE | Acquisition, Processing and Analysis of Health Data | ||||||||||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | ||||||||||||||||
| MQF LEVEL | 7 | ||||||||||||||||
| ECTS CREDITS | 5 | ||||||||||||||||
| DEPARTMENT | Communications and Computer Engineering | ||||||||||||||||
| DESCRIPTION | This study-unit will focus on the use of sensors to monitor patients. With sensors becoming smaller and cheaper, various health data can be gathered about the patient while executing normal life routines. The sensors used can be either worn on the person, such as a heart rate monitor, or gather information through the environment, for example using a camera to monitor posture. The data captured can suffer from a number of impairments, such as noise, sensor faults, environment conditions, age of patient, and others. Therefore, the data needs to be processed to extract the signals that are of interest. Finally, the processed data needs to be analysed to draw conclusions and raise alerts if and when necessary. Study-unit Aims: This study-unit provides an understanding on the use of sensors to monitor patients in both indoor and outdoor environments. Students will be exposed to both wearable sensors that need to be in contact with the person and non-invasive ones that are installed in the environment. It also aims at giving the theoretical background needed to process the data captured by the sensors such that the signals of interest are extracted and enhanced. Furthermore, the study-unit will cover tools to analyse the data, interpret it and take action. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: - Distinguish between different sensors that can be applied to monitor vital signals; - Design and construct solutions to monitor health signals considering the patient-specific needs and physiology; - Assess the correct function of the patient monitoring system used in a particular case; - Interpret health signals in the time domain and the frequency domain; - Analyse and interpret the results obtained from the individual sensors and/or multiple sensors; - Support medical practitioners in selecting patient monitoring systems. 2. Skills By the end of the study-unit the student will be able to: - Select appropriate sensors for the monitoring system needed; - Implement software to configure sensors; - Use tools to analyse data; - Manage patient monitoring systems. Main Text/s and any supplementary readings: Main text: - R. Gupta (Ed.) and D. Biswas, Health Monitoring Systems - An Enabling Technology for Patient Care, CRC Press Taylor and Francis Group, 2020. Supplementary text: - N. Dey, J. Chaki, R. Kumar, Sensors for Health Monitoring (1st Edition), Academic Press, 2019. - J.G. Proakis & D.K. Minolakis, Digital Signal Processing (4th Edition), Prentice Hall, 2006. |
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| STUDY-UNIT TYPE | Lecture, Practicum & Tutorial | ||||||||||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Musawar Ahmad Conrad Attard Victor Buttigieg Carl James Debono (Co-ord.) |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
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