Mobile Diagnosis 2.0

• Autore: Ray Aniruddha
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (114 p.)
• Soggetto topico: Medicine
• Soggetto non controllato: colorimetric; data mining; DENV; depression; depressive episodes; diagnostic equipment; diagnostics; fever; headache; inertial sensors; infectious diseases; kinematics; lensless imaging; microfluidic; microfluidics; migraine; mobile applications; mobile laboratory; monitoring the condition of patients; motion sensor; motor activity; n/a; night; NMFI; Parkinson's disease; pediatric neurological disease; plasmonics; point of care; point-of-care devices; postural balance; random forest; recurrent neural network; RPA; smartphone; vestibular function tests; visual motor coordination; Zika NS1
• 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
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557490503321
• Lo trovi qui: Univ. Federico II