Publications by Abolfazl Soltani

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium (vol 20, 78, 2023) [Correction]

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

BioMed Central2024

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

. All rights reserved.Background: Wrist-worn inertial sensors are used in digital health for evaluating mobility in real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, gait detection is an import ...

2024

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

This study aimed to validate a wearable device's walking speed estimation pipeline, considering complexity, speed, and walking bout duration. The goal was to provide recommendations on the use of wearable devices for real-world mobility analysis. Participa ...

Nature Portfolio2024

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani, Francesca Salis

Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validat ...

BioMed Central2023

Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

Introduction: The clinical assessment of mobility, and walking specifically, is still mainly based on functional tests that lack ecological validity. Thanks to inertial measurement units (IMUs), gait analysis is shifting to unsupervised monitoring in natur ...

Frontiers Media Sa2023

Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization

Anisoara Ionescu, Abolfazl Soltani

Wearable devices are used in movement analysis and physical activity research to extract clinically relevant information about an individual's mobility. Still, heterogeneity in protocols, sensor characteristics, data formats, and gold standards represent a ...

NATURE PORTFOLIO2023

Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

Walking/gait speed is a key measure for daily mobility characterization. To date, various studies have attempted to design algorithms to estimate walking speed using an inertial sensor worn on the lower back, which is considered as a proper location for ac ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

Gait speed is a reliable outcome measure across multiple diagnoses, recognized as the 6th vital sign. The focus of the present study was on assessment of gait speed in long-term real-life settings with the aim to: (1) demonstrate feasibility in large cohor ...

Nature Portfolio2021

Running Speed Estimation Using Shoe-Worn Inertial Sensors: Direct Integration, Linear, and Personalized Model

Kamiar Aminian, Mathieu Pascal Falbriard, Abolfazl Soltani

The overground speed is a key component of running analysis. Today, most speed estimation wearable systems are based on GNSS technology. However, these devices can suffer from sparse communication with the satellites and have a high-power consumption. In t ...

2021

Real-world speed estimation using single trunk IMU: methodological challenges for impaired gait patterns

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

Walking speed (WS) is recognized as an important dimension of functional health and a candidate endpoint for clinical trials. To be adopted as a powerful outcome measure in clinical assessment, WS should be estimated pervasively and accurately in the real- ...

IEEE2020