Federico Cocconcelli

About Federico Cocconcelli

Federico Cocconcelli, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Università degli Studi di Parma, specializes in the field of Ballistocardiography, ICTs, Internet of things, AAL, Deep Learning.

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

Ubiquitous Technology for Health

Iot smart flooring supporting active and healthy lifestyles

IoT systems for unobtrusive monitoring of physical activity and vital signs

An accurate and stable bed-based ballistocardiogram measurement and analysis system

Accurate heartbeat detection on ballistocardiogram accelerometric traces

A unified methodology for heartbeats detection in seismocardiogram and ballistocardiogram signals

Detection and analysis of heartbeats in seismocardiogram signals

High-accuracy, unsupervised annotation of seismocardiogram traces for heart rate monitoring

Federico Cocconcelli Information

University

Position

PhD student

Citations(all)

86

Citations(since 2020)

86

Cited By

20

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Federico Cocconcelli Skills & Research Interests

Ballistocardiography

ICTs

Internet of things

AAL

Deep Learning

Top articles of Federico Cocconcelli

Ubiquitous Technology for Health

2023/10/10

Iot smart flooring supporting active and healthy lifestyles

Sensors

2023/3/16

IoT systems for unobtrusive monitoring of physical activity and vital signs

2022

Federico Cocconcelli
Federico Cocconcelli

H-Index: 3

An accurate and stable bed-based ballistocardiogram measurement and analysis system

2021/6/7

Accurate heartbeat detection on ballistocardiogram accelerometric traces

IEEE Transactions on Instrumentation and Measurement

2020/5/29

A unified methodology for heartbeats detection in seismocardiogram and ballistocardiogram signals

Computers

2020/5/22

Detection and analysis of heartbeats in seismocardiogram signals

Sensors

2020/3/17

High-accuracy, unsupervised annotation of seismocardiogram traces for heart rate monitoring

IEEE Transactions on Instrumentation and Measurement

2020/1/17

See List of Professors in Federico Cocconcelli University(Università degli Studi di Parma)

Co-Authors

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