Publications by Anisoara Ionescu

Association of Cut-point Free Metrics and Common Clinical Tests Among Older Adults After Proximal Femoral Fracture

Highlights What are the main findings? Clinical lower limb assessments (both subjective and objective) were more discriminative in differentiating between the four PFF recovery groups in older adults. Older adults in the acute proximal femoral fracture rec ...

MDPI2025

TimEHR: Image-based Time Series Generation for Electronic Health Records

Anisoara Ionescu, David Atienza Alonso

Time series in Electronic Health Records (EHRs) present unique challenges for generative models, such as irregular sampling, missing values, and high dimensionality. In this paper, we propose a novel generative adversarial network (GAN) model, TimEHR, to g ...

Institute of Electrical and Electronics Engineers (IEEE)2025

Walking into aging: real-world mobility patterns and digital benchmarks from the InCHIANTI Study

Anisoara Ionescu

Mobility is a cornerstone of health and quality of life, particularly in older adults. Digital mobility outcomes (DMOs) from real-world walking data offer crucial insights into the functional status and early markers of mobility decline. This study provide ...

Springer Science and Business Media LLC2025

Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study

Anisoara Ionescu

Background: Algorithms estimating real-world digital mobility outcomes (DMOs) are increasingly validated in healthy adults and various disease cohorts. However, their accuracy and reliability in older adults after hip fracture, who often walk slowly for sh ...

2025

Instrumented Dual-Task Tests Help for Concussion Assessment in Ice Hockey

Anisoara Ionescu, Frédéric Meyer

Objective: This study aims to validate an instrumented dual-task (DT) assessment procedure based on smartphone-embedded sensors. Data processing algorithms were developed to extract relevant features, and ice hockey players were evaluated. Participants: In ...

2025

Automated Multicohort Mobility Assessment with an Instrumented L-test (iL-test)

Anisoara Ionescu

The L-test is a performance-based measure to assess balance and mobility. Currently, the primary outcome from this test is the time required to finish it. In this study we present the instrumented L-test (iL-test), an L-test wherein mobility is evaluated b ...

2025

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

It needs more than a myocardial infarction to start exercising: the CoLaus|PsyCoLaus prospective study

Anisoara Ionescu

BackgroundIncreased physical activity (PA) is recommended after an acute coronary event to prevent recurrences. Whether patients with acute coronary event actually increase their PA has not been assessed using objective methods such as accelerometer. We ai ...

BMC2024

Effects of physiotherapy and home-based training in parkinsonian syndromes: protocol for a randomised controlled trial (MobilityAPP)

Kamiar Aminian, Anisoara Ionescu

All rights reserved.Introduction Gait and mobility impairment are pivotal signs of parkinsonism, and they are particularly severe in atypical parkinsonian disorders including multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). A pilot s ...

2024

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

Effects of multidisciplinary inpatient rehabilitation on everyday life physical activity and gait in patients with multiple sclerosis

Kamiar Aminian, Anisoara Ionescu, Gaëlle Prigent

Background Multiple sclerosis is a progressive neurological disease that affects the central nervous system, resulting in various symptoms. Among these, impaired mobility and fatigue stand out as the most prevalent. The progressive worsening of symptoms ad ...

BioMed Central2024

TEE4EHR: Transformer event encoder for better representation learning in electronic health records

Anisoara Ionescu, David Atienza Alonso

Irregular sampling of time series in electronic health records (EHRs) is one of the main challenges for developing machine learning models. Additionally, the pattern of missing values in certain clinical variables is not at random but depends on the decisi ...

2024

Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults

Anisoara Ionescu

Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily living has the potential to quantify gait alterations and evaluate the effects of interventions that may prevent disability in the aging population. Here, we ...

Nature Research2024

Imbalance and Falls in Patients with Parkinson's Disease: Causes and Recent Developments in Training and Sensor-Based Assessment

Anisoara Ionescu

Imbalance and falls in patients with Parkinson's disease (PD) do not only reduce their quality of life but also their life expectancy. Aging-related symptoms as well as disease-specific motor and non-motor symptoms contribute to these conditions and should ...

MDPI2024

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

From high-resolution time series to a single, clinically-interpretable value - considerations for the aggregation of real world walking speed assessed by wearable sensors in patients with chronic obstructive pulmonary disease (COPD)

Kamiar Aminian, Anisoara Ionescu

European Respiratory Soc Journals Ltd2023

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

A multi-sensor wearable system for the assessment of diseased gait in real-world conditions

Kamiar Aminian, Anisoara Ionescu

Introduction: Accurately assessing people's gait, especially in real-world conditions and in case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in gait complexity. To improve the estimation of gait-related digi ...

FRONTIERS MEDIA SA2023