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Pre-Impact Detection Algorithm to Identify Tripping Events Using Wearable Sensors

Publications associées (54)

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Assessment of Real-World Running With Lab-Validated Algorithms Based on Foot-Worn Inertial Sensors

Mathieu Pascal Falbriard

Following the cultural revolution of the late 1960s, the number of elite and recreational runners rose consistently, reaching approximately 7.9 million road races participants in 2018. Today, running is everywhere. City parks, forests, mountain trails, and ...

EPFL2020

Integrated wearable electronics capable of providing biophysical information on complex and dynamic systems have attracted high interest in diverse fields such as healthcare, gaming and robotics. Wearable sensors can create artificial, electronic skins wit ...

EPFL2020

Microfluidics by Additive Manufacturing for Wearable Biosensors: A Review

Christian Enz, Sandro Carrara, Mahshid Alsadat Padash

Wearable devices are nowadays at the edge-front in both academic research as well as in industry, and several wearable devices have been already introduced in the market. One of the most recent advancements in wearable technologies for biosensing is in the ...

2020

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Epilepsy affects more than 50 million people and ranks among the most common neurological diseases worldwide. Despite advances in treatment, one-third of patients still suffer from refractory epilepsy. Wearable devices for real-time patient monitoring can ...

2020

Healthy Operator 4.0: A Human Cyber-Physical System Architecture for Smart Workplaces

Xiaochen Zheng

Recent advances in technology have empowered the widespread application of cyber-physical systems in manufacturing and fostered the Industry 4.0 paradigm. In the factories of the future, it is possible that all items, including operators, will be equipped ...

2020

A sEMG-driven Soft ExoSuit based on Twisted String Actuators for Elbow Assistive Applications

Jamie Paik, Andres San Millan Rodriguez

The scope of this work is to show the applicability of the Twisted String Actuators (TSAs) for lightweight, wearable and assistive robotic applications. To this aim, we have developed a novel surface electromyography (sEMG)-driven soft ExoSuit using the TS ...

2020

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Stroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of an iterative process involving assessments and specialized training, aspects often constrained by ...

2019

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This paper presents a wearable sensor architecture for frequency-multiplexed electrical impedance tomography (EIT) and synchronous multilead electrocardiogram (ECG) data acquisition. The system is based on a novel electronic sensing architecture, called co ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Pattern Recognition in Non-uniformly sampled electrocardiogram signal for wearable sensors

Silvio Zanoli

In this thesis, we explore 3 main topics: non-uniform (in time) sub-sampling, QRS detection in an event-based sub-sampled ECG (electrocardiogram) and implementation on a low-power MCU (Micro Controller Unit). The main idea behind this work is to reduce the ...

2019

Printed silk-fibroin-based triboelectric nanogenerators for multi-functional wearable sensing

Jürgen Brugger, Xiao Sheng Zhang, Xin Liu

The rapid development of wearable sensing technology exhibits unprecedented opportunities for artificial intelligence by establishing an interactive interface between the physical and the virtual worlds. Energy preservation and multi-functional integration ...

ELSEVIER2019