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Anisoara Ionescu

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Publications associées (89)

Point-process-based Representation Learning for Electronic Health Records

Anisoara Ionescu, David Atienza Alonso

Irregular sampling of time series in electronic health records (EHRs) presents a challenge for the development of machine learning models. Additionally, the pattern of missing data in certain clinical variables is not random, but depends on the decisions o ...

IEEE2023

Triboelectric Nanogenerators for Gait Analysis: Design, Development, and Validation

Anisoara Ionescu

This paper presents the development and validation of triboelectric nanogenerators (TENG) integrated into a shoe insole prototype for gait analysis. A TENG sensor design is proposed, characterized, and tested in diverse locomotion scenarios. The TENG demon ...

IEEE2023

A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings

Kamiar Aminian, Anisoara Ionescu, Gaëlle Prigent, Francesca Salis

Walking activity and gait parameters are considered among the most relevant mobility-related parameters. Currently, gait assessments have been mainly analyzed in laboratory or hospital settings, which only partially reflect usual performance (i.e., real wo ...

SPRINGER HEIDELBERG2023

Walking and running cadence estimation using a single trunk-fixed accelerometer for daily physical activities assessment

Kamiar Aminian, Anisoara Ionescu, Gaëlle Prigent

Accurate assessment of the type, duration, and intensity of physical activity (PA) in daily life is considered very important because of the close relationship between PA level, health, and well-being. Therefore, the assessment of PA using lightweight wear ...

IEEE2022

Steps parameters of elderly patients hospitalised for an acute medical illness in a Swiss University Hospital: an observational pilot study

Anisoara Ionescu, Francesco Tommasini

BACKGROUND: Objective mobility goals for elderly hospitalised medical patients remain debated. We therefore studied steps parameters of elderly patients hospitalised for an acute illness, to determine goals for future interventional trials and medical prac ...

SMW supporting association2022

Putting Temperature into the Equation: Development and Validation of Algorithms to Distinguish Non-Wearing from Inactivity and Sleep in Wearable Sensors

Kamiar Aminian, Anisoara Ionescu, Sara Pagnamenta

Long-term monitoring of real-life physical activity (PA) using wearable devices is increasingly used in clinical and epidemiological studies. The quality of the recorded data is an important issue, as unreliable data may negatively affect the outcome measu ...

MDPI2022

Impact of adherence to a lifestyle-integrated programme on physical function and behavioural complexity in young older adults at risk of functional decline: a multicentre RCT secondary analysis

Kamiar Aminian, Anisoara Ionescu

Context Long-term adherence to physical activity (PA) interventions is challenging. The Lifestyle-integrated Functional Exercise programmes were adapted Lifestyle-integrated Functional Exercise (aLiFE) to include more challenging activities and a behaviour ...

BMJ PUBLISHING GROUP2022

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

Kamiar Aminian, Anisoara Ionescu, Gaëlle Prigent, Salil Apte, Vincent Gremeaux

Understanding the influence of running-induced acute fatigue on the homeostasis of the body is essential to mitigate the adverse effects and optimize positive adaptations to training. Fatigue is a multifactorial phenomenon, which influences biomechanical, ...

FRONTIERS MEDIA SA2022

Design and validation of a multi-task, multi-context protocol for real-world gait simulation

Kamiar Aminian, Anisoara Ionescu

Background: Measuring mobility in daily life entails dealing with confounding factors arising from multiple sources, including pathological characteristics, patient specific walking strategies, environment/context, and purpose of the task. The primary aim ...

BioMed Central2022

Dual-Task Treadmill Training for the Prevention of Falls in Parkinson's Disease: Rationale and Study Design

Kamiar Aminian, Anisoara Ionescu

Various factors, such as fear of falling, postural instability, and altered executive function, contribute to the high risk of falling in Parkinson's disease (PD). Dual-task training is an established method to reduce this risk. Motor-perceptual task combi ...

FRONTIERS MEDIA SA2022

Reliability of single-day walking performance and physical activity measures using inertial sensors in children with cerebral palsy

Anisoara Ionescu, Lena Carcreff

Background: There is a lack of objective and reliable tools to measure walking performance in children with cerebral palsy (CP). ...

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER2021

Clinical value of assessing motor performance in postacute stroke patients

Kamiar Aminian, Anisoara Ionescu, Fabien Massé

Background Rehabilitative treatment plans after stroke are based on clinical examinations of functional capacity and patient-reported outcomes. Objective information about daily life performance is usually not available, but it may improve therapy personal ...

BioMed Central2021

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

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

Technical validation of real-world monitoring of gait: a multicentric observational study

Kamiar Aminian, Anisoara Ionescu

Introduction Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measuremen ...

BMJ PUBLISHING GROUP2021

Instrumented 5-Time Sit-To-Stand Test: Parameters Predicting Serious Falls beyond the Duration of the Test

Kamiar Aminian, Anisoara Ionescu, Yves Henchoz, Arash Atrsaei

Background: Falls are a major cause of injuries in older adults. To evaluate the risk of falls in older adults, clinical assessments such as the 5-time sit-to-stand (5xSTS) test can be performed. The development of inertial measurement units (IMUs) has pro ...

2021

Indirect Estimation of Breathing Rate from Heart Rate Monitoring System during Running

Kamiar Aminian, Jean-Marc Vesin, Anisoara Ionescu, Mathieu Pascal Falbriard, Gaëlle Prigent

Recent advances in wearable technologies integrating multi-modal sensors have enabled the in-field monitoring of several physiological metrics. In sport applications, wearable devices have been widely used to improve performance while minimizing the risk o ...

MDPI2021

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

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Kamiar Aminian, Anisoara Ionescu

Background: Understanding the association between motor capacity (MC) (what people can do in a standardized environment), mobility performance (MP) (what people actually do in real-life) and falls is important for early detection of and counteracting on fu ...

ELSEVIER IRELAND LTD2020

Real-World Gait Bout Detection Using a Wrist Sensor: An Unsupervised Real-Life Validation

Kamiar Aminian, Anisoara Ionescu, Hooman Dejnabadi, Abolfazl Soltani

Gait bouts (GB), as a prominent indication of physical activity, contain valuable fundamental information closely associated with human & x2019;s health status. Therefore, objective assessment of the GB (e.g. detection, spatio-temporal analysis) during dai ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

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