Home

Person

Anisoara Ionescu

This person has left EPFL

About
Privacy
Disclaimer

Graph Chatbot

Related publications (86)

Page 3 of 5

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

Physical Behavior in Older Persons during Daily Life: Insights from Instrumented Shoes

Kamiar Aminian, Anisoara Ionescu, Christopher Moufawad El Achkar

Activity level and gait parameters during daily life are important indicators for clinicians because they can provide critical insights into modifications of mobility and function over time. Wearable activity monitoring has been gaining momentum in daily l ...

Mdpi Ag2016

Improved physical activity in patients treated for chronic pain by spinal cord stimulation

Kamiar Aminian, Anisoara Ionescu, Bijan Najafi

The objective of this study was to objectively assess the physical activity of daily living in chronic pain patients treated with spinal cord stimulation (SCS). Changes in pain and spontaneous physical activity following SCS were evaluated under real life ...

2005

Digital Technology to Deliver a Lifestyle-Integrated Exercise Intervention in Young Seniors—The PreventIT Feasibility Randomized Controlled Trial

Kamiar Aminian, Anisoara Ionescu

Background: Behavioral change is the key to alter individuals' lifestyle from sedentary to active. The aim was to assess the feasibility of delivering a Lifestyle-integrated Functional Exercise programme and evaluate the delivery of the intervention by use ...

2020

Classification of daily-life postural transitions using trunk-worn wearable barometric pressure sensor

Kamiar Aminian, Anisoara Ionescu, Fabien Massé, Alan Kevin Bourke

Distinguishing sedentary from dynamic behavior is essential in addressing disease conditions that are influenced by mobility. Event-based activity recognition algorithms essentially rely on accurate classification of siting and standing postural transition ...

2013

Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults

Kamiar Aminian, Anisoara Ionescu, Wei Zhang

2018

Stair climbing detection during daily physical activity using a miniature gyroscope

Kamiar Aminian, Anisoara Ionescu, Bijan Najafi, Brian Coley

A new method of monitoring physical activity that is able to detect walking upstairs using a miniature gyroscope attached to the shank is presented. Wavelet transformation, in conjunction with a simple kinematics model, was used to detect toe-off, heel-str ...

2005

Instrumented Shoes for Real-Time Activity Monitoring Applications

Kamiar Aminian, Anisoara Ionescu, Christopher Moufawad El Achkar

Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in older adults and at-risk populations. Several research-based and commercial systems have been proposed with varying performances in classification accuracy. Co ...

Ios Press2016

Classification and characterization of postural transitions using instrumented shoes

Kamiar Aminian, Anisoara Ionescu, Christopher Moufawad El Achkar

2018

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

Distinguishing Sitting and Standing Activities Using a Wearable Barometric Pressure Monitor

Kamiar Aminian, Anisoara Ionescu, Julien Chardonnens, Fabien Massé, Alan Kevin Bourke

Recent advancements in wearable inertial sensor technology have enabled extensive research into activity classification. However, the distinction between the sitting and standing activities using trunk-worn wearable monitoring systems remains challenging, ...

2013

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

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

David Atienza Alonso, Anisoara Ionescu, Hojjat Karami

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

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

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

Instrumented shoes for activity classification in the elderly

Kamiar Aminian, Anisoara Ionescu, Christopher Moufawad El Achkar

Quantifying daily physical activity in older adults can provide relevant monitoring and diagnostic information about risk of fall and frailty. In this study, we introduce instrumented shoes capable of recording movement and foot loading data unobtrusively ...

Elsevier2016

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

Protocol for the PreventIT feasibility randomised controlled trial of a lifestyle-integrated exercise intervention in young older adults

Kamiar Aminian, Anisoara Ionescu

Introduction The European population is rapidly ageing. In order to handle substantial future challenges in the healthcare system, we need to shift focus from treatment towards health promotion. The PreventIT project has adapted the Lifestyle-integrated Ex ...

BMJ2019

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

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