Patrick Locatelli

About Patrick Locatelli

Patrick Locatelli, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at Università degli Studi di Bergamo, specializes in the field of Wearable sensors, Data analysis, Motion Tracking.

His recent articles reflect a diverse array of research interests and contributions to the field:

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

Biopsychosocial response to the COVID-19 lockdown in people with major depressive disorder and multiple sclerosis

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

CNS Diseases Monitoring Using Wearable Devices. Monitoring Techniques based on Inertial Platforms for Patients Affected by Central Nervous System Diseases

Winter: A Novel Low Power Modular Platform for Wearable and IoT Applications

Classification of essential tremor and Parkinson’s tremor based on a low-power wearable device

Development of an In-Ear Photoplethysmography Wearable System

Human-centered design strategies for device selection in mHealth programs: development of a novel framework and case study

Patrick Locatelli Information

University

Position

PhD

Citations(all)

170

Citations(since 2020)

128

Cited By

73

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Patrick Locatelli Skills & Research Interests

Wearable sensors

Data analysis

Motion Tracking

Top articles of Patrick Locatelli

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

Psychological medicine

2023/6

Biopsychosocial response to the COVID-19 lockdown in people with major depressive disorder and multiple sclerosis

Journal of clinical medicine

2022/12/1

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

Pattern recognition

2022/3/1

CNS Diseases Monitoring Using Wearable Devices. Monitoring Techniques based on Inertial Platforms for Patients Affected by Central Nervous System Diseases

COLLANA DELLA SCUOLA DI ALTA FORMAZIONE DOTTORALE

2021

Patrick Locatelli
Patrick Locatelli

H-Index: 5

Winter: A Novel Low Power Modular Platform for Wearable and IoT Applications

2021

Classification of essential tremor and Parkinson’s tremor based on a low-power wearable device

Electronics

2020/10/15

Development of an In-Ear Photoplethysmography Wearable System

2020/6/3

Human-centered design strategies for device selection in mHealth programs: development of a novel framework and case study

JMIR mHealth and uHealth

2020/5/7

See List of Professors in Patrick Locatelli University(Università degli Studi di Bergamo)