PALMERINI, LUCA
 Distribuzione geografica
Continente #
NA - Nord America 2.962
EU - Europa 1.740
AS - Asia 872
AF - Africa 199
SA - Sud America 35
OC - Oceania 2
Totale 5.810
Nazione #
US - Stati Uniti d'America 2.943
IT - Italia 545
GB - Regno Unito 378
SG - Singapore 322
CN - Cina 295
DE - Germania 181
SE - Svezia 116
VN - Vietnam 99
IE - Irlanda 86
IN - India 84
CI - Costa d'Avorio 83
TG - Togo 78
RU - Federazione Russa 77
UA - Ucraina 60
AT - Austria 56
FI - Finlandia 39
FR - Francia 38
ES - Italia 35
NL - Olanda 31
BG - Bulgaria 27
EE - Estonia 22
ZA - Sudafrica 21
ID - Indonesia 20
BR - Brasile 16
BE - Belgio 14
CA - Canada 12
CH - Svizzera 12
SC - Seychelles 11
KR - Corea 10
TR - Turchia 9
PE - Perù 8
PL - Polonia 8
HK - Hong Kong 7
CO - Colombia 5
GR - Grecia 5
PK - Pakistan 5
IR - Iran 4
MX - Messico 4
CL - Cile 3
HN - Honduras 3
IL - Israele 3
JO - Giordania 3
JP - Giappone 3
UZ - Uzbekistan 3
AE - Emirati Arabi Uniti 2
AR - Argentina 2
DK - Danimarca 2
LT - Lituania 2
MU - Mauritius 2
SI - Slovenia 2
ZW - Zimbabwe 2
AU - Australia 1
BY - Bielorussia 1
EC - Ecuador 1
EG - Egitto 1
HR - Croazia 1
LB - Libano 1
LK - Sri Lanka 1
MD - Moldavia 1
NG - Nigeria 1
NO - Norvegia 1
NZ - Nuova Zelanda 1
PH - Filippine 1
Totale 5.810
Città #
Ann Arbor 1.031
Southend 333
Singapore 262
Bologna 225
Fairfield 191
Chandler 178
Santa Clara 167
Ashburn 152
Wilmington 122
Woodbridge 90
Dublin 84
Abidjan 83
Princeton 81
Seattle 80
Lomé 78
Houston 77
Cambridge 70
Boardman 63
Jacksonville 38
Vienna 38
Dong Ket 37
Nanjing 28
Sofia 27
Westminster 27
Padova 25
Berlin 24
Lappeenranta 22
New York 22
Nuremberg 22
Milan 21
Jakarta 20
Medford 20
San Diego 19
Helsinki 17
Jinan 16
Saint Petersburg 16
Shenyang 16
Changsha 15
Beijing 14
Redwood City 14
Hangzhou 13
Turin 13
Amsterdam 12
Hyderabad 12
Brussels 11
Zhengzhou 11
Dearborn 10
Forlì 10
Guangzhou 10
Mülheim 10
Nanchang 10
Hebei 9
Mahé 9
Olalla 9
Redmond 9
Augusta 8
Lima 8
Shanghai 8
Vimercate 8
Bern 7
Florence 7
Jiaxing 7
Lanciano 7
Villa Rosa 7
Bilbao 6
Ningbo 6
Norwalk 6
Shijiazhuang 6
Tianjin 6
Warsaw 6
Yubileyny 6
Castel Maggiore 5
Chicago 5
Des Moines 5
Haikou 5
Hong Kong 5
Istanbul 5
Leeds 5
London 5
Portland 5
Stockholm 5
Bonn 4
Boydton 4
Cesenatico 4
Cinisello Balsamo 4
Falkenstein 4
Falls Church 4
Leawood 4
Reggio Emilia 4
Reggio Nell'emilia 4
San Venanzo 4
Santiago de Cali 4
Sheffield 4
São Paulo 4
Trento 4
Trieste 4
Valencia 4
Washington 4
Wuhan 4
Ahmedabad 3
Totale 4.257
Nome #
Accelerometer-based fall detection using machine learning: Training and testing on real-world falls 214
Assessing Gait in Parkinson's Disease Using Wearable Motion Sensors: A Systematic Review 202
FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly 197
A rule-based framework for risk assessment in the health domain 194
Fall Risk Assessment Tools for Elderly Living in the Community: Can We Do Better? 189
FRAT-up, a Web-based fall-risk assessment tool for elderly people living in the community. 184
Physical Activity Classification for Elderly People in Free Living Conditions 181
A Clinical Application of Feature Selection: Quantitative Evaluation of the Locomotor Function 178
Balance testing with inertial sensors in patients with Parkinson's disease: assessment of motor subtypes 178
Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study 171
Feature Selection for the instrumented Timed Up and Go in Parkinson’s disease 164
Fall risk assessment via instrumented TUG. Preliminary results from the InCHIANTI study 164
Dimensionality reduction for the quantitative evaluation of a smartphone-based Timed Up and Go test 163
The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls 162
Dual tasking during quiet stance allows an accurate classification of subjects with Parkinson's disease and age-matched control 161
A wavelet-based approach to fall detection 159
Quantification of motor impairment in Parkinson's disease using an instrumented timed up and go test. 152
Identification of characteristic motor patterns preceding freezing of gait in Parkinson's disease using wearable sensors 143
A probabilistic model to investigate the properties of prognostic tools for falls 142
Quantitative evaluation of the instrumented Timed Up and Go in Parkinson’s disease 140
Physical activity classification using body-worn inertial sensors in a multi-sensor setup 134
Choosing an appropriate sensor for movement analysis: the case study of clipping in fall detection 134
The clinical outcomes of different targets in deep brain stimulation for Parkinson’s disease: an interpretation based on a computational model 130
Feature Selection for Accelerometer-Based Posture Analysis in Parkinson’s Disease 130
Hilbert-Huang based tremor removal to assess postural properties from accelerometers 128
Estimate of tremor-free postural properties form accelerometers 127
Il rischio di caduta può essere misurato? 118
Effect of Deep Brain Stimulation on step initiation in subjects with Parkinson’s disease 116
Technical validation of real-world monitoring of gait: A multicentric observational study 93
Towards a standardized protocol for fall risk assessment using wearable sensors 88
Classical machine learning versus deep learning for the older adults free-living activity classification 83
Machine Learning Based Fall Detector with a Sensorized Tip 75
Monitoring Health and Behavior in an Ecological Environment with Digital Technologies 69
Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization 61
Quality Assessment and Morphological Analysis of Photoplethysmography in Daily Life 61
Classification of early-mild subjects with Parkinson's disease by using sensor-based measures of posture, gait, and transitions 61
Real-World Walking Speed Assessment Using a Mass-Market RTK-GNSS Receiver 57
Real-world Balance Assessment while Standing for Fall Prediction in Older Adults 55
Biomechanical Measures for Fall Risk Assessment and Fall Detection in People with Transfemoral Amputations for the Next-Generation Prostheses 52
Algorithms for walking speed estimation using a lower-back-worn inertial sensor: A cross-validation on speed ranges 51
An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor Tasks 50
Evaluating gait and postural responses to subthalamic stimulation and levodopa: A prospective study using wearable technology 45
Protocol for the DeFOG trial: A randomized controlled trial on the effects of smartphone-based, on-demand cueing for freezing of gait in Parkinson's disease 44
Real-world walking cadence in people with COPD 42
A new synchronization method between inertial signals and local field potentials 41
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions 41
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases 40
Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson’s Disease? 38
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device 38
Design and validation of a multi-task, multi-context protocol for real-world gait simulation 37
Fall risk assessment in older adults: insights from sit-to-stand transfers in the real world 37
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium 30
Fall Risk Assessment Using Wearable-Based Turn Detection: Comparison of Different Algorithms During Real-World Monitoring 28
Wearable-based Sit-to-Stand transfers in Older Adults: in-lab and home-based assessments 27
null 26
Fall risk stratification of community-living older people. Commentary on the world guidelines for fall prevention and management 25
Daily-Living Freezing of Gait as Quantified Using Wearables in People With Parkinson Disease: Comparison With Self-Report and Provocation Tests 24
Normative values for the Instrumented Timed Up and Go test in Parkinsonian populations 23
Characteristics of landings, rotations, and impacts of real-world falls captured by wearable sensors in older persons 22
Laboratory and free-living gait performance in adults with COPD and healthy controls 20
AI-enhanced Wearables: Transforming Parkinson’s and Atypical Parkinsonism Diagnosis 16
A method for the synchronization of inertial sensor signals and local field potentials from deep brain stimulation systems 15
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study 7
Long-term wearable tele-rehabilitation of gait for persons with Parkinson’s disease: A feasibility study 6
On-Demand Cueing for Freezing of Gait in Parkinson's Disease: A Randomized Controlled Trial 6
Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium 4
Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test) 4
Design of a High Bandwidth Actuation for Seamless Assistance in Walking and Running 1
Accurate and Efficient Real-World Fall Detection Using Time Series Techniques 1
Anticipatory postural adjustments for reaching and lifting an object from the floor 1
Totale 6.000
Categoria #
all - tutte 16.342
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 16.342


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020116 0 0 0 0 0 0 0 0 0 40 29 47
2020/2021515 88 27 13 17 6 18 7 30 64 75 52 118
2021/20221.765 78 33 182 165 208 178 165 207 201 90 135 123
2022/20231.020 67 176 57 119 76 84 44 54 179 28 61 75
2023/2024410 15 57 16 28 29 59 19 64 33 47 28 15
2024/20251.241 90 223 157 111 272 70 132 89 96 1 0 0
Totale 6.000