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Ultrasensitive and low-cost insole for gait analysis using piezoelectrets

Ben Dali, Omar ; Sellami, Youssef ; Zhukov, Sergey ; von Seggern, Heinz ; Schäfer, Niklas ; Latsch, Bastian ; Sessler, Gerhard M. ; Beckerle, Philipp ; Kupnik, Mario (2024)
Ultrasensitive and low-cost insole for gait analysis using piezoelectrets.
IEEE SENSORS 2022. Dallas, TX, USA (30.10.-02.11.2022)
doi: 10.26083/tuprints-00027321
Conference or Workshop Item, Secondary publication, Postprint

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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: Ultrasensitive and low-cost insole for gait analysis using piezoelectrets
Language: English
Date: 3 May 2024
Place of Publication: Darmstadt
Year of primary publication: 2022
Place of primary publication: Piscataway, NJ
Publisher: IEEE
Book Title: 2022 IEEE SENSORS Proceedings
Collation: 4 Seiten
Event Title: IEEE SENSORS 2022
Event Location: Dallas, TX, USA
Event Dates: 30.10.-02.11.2022
DOI: 10.26083/tuprints-00027321
Corresponding Links:
Origin: Secondary publication service

The emerging need of wearable healthcare monitoring systems for e.g. predicting cognitive decline, necessitates practical requirements such as high sensor sensitivity and low fabrication costs. In this work, we present an ultrasensitive piezoelectric insole using 3D-printed flexible piezoelectret with a readout circuit that sends measurement data via WiFi. The insole is printed using pure polypropylene filament and consists of eight independent sensors, each with a piezoelectric d 33 coefficient of approximately 2000 pC/N. The active part of the insole is protected using a 3D-printed polylactic acid cover that features eight defined embossments on the bottom part, which focus the force on the sensors and act as overload protection against excessive stress. In addition to determining the gait pattern, an accelerometer is implemented to measure kinematic parameters and validate the sensor output signals. The combination of the high sensitivity of the sensors and the kinematic movement of the foot, opens new perspectives regarding diagnosis possibilities through gait analysis.

Uncontrolled Keywords: Fabrication, Sensitivity, Costs, Force, Kinematics, Medical services, Wireless fidelity, Ferroelectret, piezoelectret, 3D printing, gait analysis
Status: Postprint
URN: urn:nbn:de:tuda-tuprints-273211
Classification DDC: 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics
Divisions: 18 Department of Electrical Engineering and Information Technology > Measurement and Sensor Technology
Date Deposited: 03 May 2024 12:32
Last Modified: 03 May 2024 12:35
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/27321
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