Objectives:
The objective of this laboratory exercise is to provide hands-on experiences with AJDSP, a DSP simulation application built for the Android platform. The exercise problems are directed towards providing a basic understanding of signals and the role of DSP in mobile health monitoring. Signals such as Speech, Video, Accelerometer, Photoplethysmogram (PPG), and Electrocardiogram (ECG) are introduced.
NSF J-DSP and RET Project Team: Deepta Rajan, SenSIP.
FSE100 Instructor: Prof. Jim Middleton, IAFSE Engineering Education.
Advisor and Principal Investigator: Prof. Andreas Spanias.
Workshop Exercises:
The students in the FSE 100 class were first given a brief introduction to signal processing with some examples [Slides]. The class was then divided into eight groups with 4 students in each group. The exercises were performed by the student groups in FSE 100 class from ASU [Exercise]. The duration of the entire activity was approximately one and a half hour.
The exercises were performed using the Android-based AJDSP app. Four Android signal processing exercises were given to the FSE 100 students:
- Overview of ECG signals: Normal and abnormal ECG signals are visualized using the Biosignal Generator block. A brief overview of the various signal characteristics in relation to bio-physical conditions are provided;
- Speech Signal Processing: Design a band-stop filter to remove a noise signal from the input speech signal using the frame-by-frame processing feature of AJDSP;
- Accelerometer and Step Counter: Introducing the Accelerometer, Data Acquisition and Step Counting;
- Photoplethysmogram (PPG): Demonstrate and perform a heart-rate monitor using the camera on the mobile device (PPG).
Each AJDSP exercise was approximately fifteen minutes long. Details on the demonstrations, and previous work with in-class implementations at the undergraduate level can be seen in [1].
References:
[1] D. Rajan, A. Spanias, S. Ranganath, M. Banavar, P. Spanias, "Health monitoring laboratories by interfacing physiological sensors to mobile Android devices", In Proc. IEEE FIE 2013.
Organizers:
| Prof. Jim Middleton, IAFSE Engineering Education, Arizona State University |
| Deepta Rajan, SenSIP, Arizona State University |
| Prof. Andreas Spanias, SenSIP center, ECEE, Arizona State University |
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AJDSP used for Signal Processing and Health Monitoring
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The event is co-sponsored by NSF
(Award No. 0817596) and the SenSIP Center, Arizona State University. Also supported by a SenSIP/NCSS Research Experiences for Teachers (RET) I/UCRC supplement. |
