A Low-Complexity Interleaved Image Wavelet Transform Architecture for a Visual Sensor Node

AbstractBeing able to accurately monitor blood pressure in a reliable, truly non-invasive manner is a highly sought after goal within the biomedical community. In this paper we propose and assess a system, methodology and algorithm for unobtrusively obtaining true pulse transit time data from readily accessible peripheral locations, such as the hand, using a highly synchronous body-sensor-network encompassing an electrocardiogram- and dual mode photoplethysmogram sensor node. The results suggest the feasibility of acquiring such data, which strongly correlates with the recorded reference blood pressure, and can therefore be further employed to track changes thereof.

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A low complexity wavelet transform with point-symmetric extension at tile boundaries

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205) ◽

10.1109/icip.2001.958476 ◽

2002 ◽

Author(s):

I. Kharitonenko ◽

X. Zhang

Keyword(s):

Wavelet Transform ◽

Low Complexity ◽

Symmetric Extension

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Low-Complexity Design and Validation of Wireless Motion Sensor Node to Support Physiotherapy

Sensors ◽

10.3390/s20216362 ◽

2020 ◽

Vol 20 (21) ◽

pp. 6362

Author(s):

Jona Cappelle ◽

Laura Monteyne ◽

Jarne Van Mulders ◽

Sarah Goossens ◽

Maarten Vergauwen ◽

...

Keyword(s):

Inertial Measurement Unit ◽

Data Exchange ◽

Sensor Node ◽

Low Complexity ◽

Measurement Unit ◽

Motion Sensor ◽

Inertial Measurement ◽

Low Threshold ◽

Wireless Interfaces

We present a motion sensor node to support physiotherapy, based on an Inertial Measurement Unit (IMU). The node has wireless interfaces for both data exchange and charging, and is built based on commodity components. It hence provides an affordable solution with a low threshold to technology adoption. We share the hardware design and explain the calibration and validation procedures. The sensor node has an autonomy of 28 h in operation and a standby time of 8 months. On-device sensor fusion yields static results of on average 3.28° with a drift of 2° per half hour. The final prototype weighs 38 g and measures ø6 cm × 1.5 cm. The resulting motion sensor node presents an easy to use device for both live monitoring of movements as well as interpreting the data afterward. It opens opportunities to support and follow up treatment in medical cabinets as well as remotely.

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Architecture Exploration Based on Tasks Partitioning Between Hardware, Software and Locality for a Wireless Vision Sensor Node

International Journal of Distributed Systems and Technologies ◽

10.4018/jdst.2012040104 ◽

2012 ◽

Vol 3 (2) ◽

pp. 58-71 ◽

Cited By ~ 4

Author(s):

Muhammad Imran ◽

Khursheed Khursheed ◽

Abdul Waheed Malik ◽

Naeem Ahmad ◽

Mattias O’Nils ◽

...

Keyword(s):

Energy Consumption ◽

Sensor Networks ◽

Sensor Node ◽

High Energy ◽

Sensor Nodes ◽

Vision Sensor ◽

Visual Sensor ◽

Battery Lifetime ◽

Processing Strategies ◽

Reconfigurable Platform

Wireless Vision Sensor Networks (WVSNs) is an emerging field which consists of a number of Visual Sensor Nodes (VSNs). Compared to traditional sensor networks, WVSNs operates on two dimensional data, which requires high bandwidth and high energy consumption. In order to minimize the energy consumption, the focus is on finding energy efficient and programmable architectures for the VSN by partitioning the vision tasks among hardware (FPGA), software (Micro-controller) and locality (sensor node or server). The energy consumption, cost and design time of different processing strategies is analyzed for the implementation of VSN. Moreover, the processing energy and communication energy consumption of VSN is investigated in order to maximize the lifetime. Results show that by introducing a reconfigurable platform such as FPGA with small static power consumption and by transmitting the compressed images after pixel based tasks from the VSN results in longer battery lifetime for the VSN.

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