Efficient Online Compression for MEMS based BCG Wearable Sensors on ULP FPGA

Kulau UI, Noshy A, Ahmed A (2023)

Publication Type: Conference contribution

Publication year: 2023

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: INERTIAL 2023 - 10th IEEE International Symposium on Inertial Sensors and Systems, Proceedings

Event location: Lihue, HI US

ISBN: 9781665451475

DOI: 10.1109/INERTIAL56358.2023.10103939

Abstract

Compression of Ballistocardiography (BCG) data is of a great importance specially in the context of wearables and ultra-low power (ULP) applications, respectively. This paper presents an efficient and yet simple compression core for BCG data that can be integrated to MEMS sensor or on ULP FPGAs. The proposed compression technique is a modified delta encoding algorithm that can compress data efficiently ranging from lossless to lossy compression, while the design was derived from BCG specific requirements. The technique offers flexibility with respect to compression performance and signal distortion where compression ratio can be traded for lossless compression and vice verse. Evaluations of 4 BCG data sets show an average compression ratio of 3 with adequate PRDN. This compression core is further implemented in VHDL and it utilizes 234 LUTs of FPGA resources supporting online compression.

Authors with CRIS profile

Abdelrahman Noshy Abdelalim Ahmed

Involved external institutions

Technische Universität Hamburg-Harburg (TUHH) DE Germany (DE)

How to cite

APA:

Kulau, U.I., Noshy, A., & Ahmed, A. (2023). Efficient Online Compression for MEMS based BCG Wearable Sensors on ULP FPGA. In INERTIAL 2023 - 10th IEEE International Symposium on Inertial Sensors and Systems, Proceedings. Lihue, HI, US: Institute of Electrical and Electronics Engineers Inc..

MLA:

Kulau, U. I.F., Abdelrahman Noshy, and Abdelalim Ahmed. "Efficient Online Compression for MEMS based BCG Wearable Sensors on ULP FPGA." Proceedings of the 10th IEEE International Symposium on Inertial Sensors and Systems, INERTIAL 2023, Lihue, HI Institute of Electrical and Electronics Engineers Inc., 2023.

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