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Mobile Diagnosis 2.0



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Autore: Ray Aniruddha Visualizza persona
Titolo: Mobile Diagnosis 2.0 Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 electronic resource (114 p.)
Soggetto topico: Medicine
Soggetto non controllato: Zika NS1
point of care
colorimetric
smartphone
microfluidic
inertial sensors
pediatric neurological disease
kinematics
motor activity
depression
depressive episodes
data mining
random forest
night
Parkinson's disease
recurrent neural network
motion sensor
monitoring the condition of patients
fever
NMFI
mobile laboratory
RPA
DENV
mobile applications
diagnostic equipment
headache
migraine
postural balance
visual motor coordination
vestibular function tests
infectious diseases
diagnostics
point-of-care devices
microfluidics
plasmonics
lensless imaging
Persona (resp. second.): KoydemirHatice Ceylan
RayAniruddha
Sommario/riassunto: Mobile sensing and diagnostic capabilities are becoming extremely important for a wide range of emerging applications and fields spanning mobile health, telemedicine, point-of-care diagnostics, global health, field medicine, democratization of sensing and diagnostic tools, environmental monitoring, and citizen science, among many others. The importance of low-cost mobile technologies has been underlined during this current COVID-19 pandemic, particularly for applications such as the detection of pathogens, including bacteria and viruses, as well as for prediction and management of different diseases and disorders. This book focuses on some of these application areas and provides a timely summary of cutting-edge results and emerging technologies in these interdisciplinary fields.
Titolo autorizzato: Mobile Diagnosis 2.0  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557490503321
Lo trovi qui: Univ. Federico II
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