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230811 ||| eng |
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|a books978-3-0365-7688-6
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|a 9783036576893
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|a 9783036576886
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|a Giansanti, Daniele
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|a Assistive Technologies, Robotics, and Automated Machines in the Health Domain
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (284 p.)
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| 653 |
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|a medical devices
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|a digital radiology
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|a degenerative diseases
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|a rehabilitation robot
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|a centre mass
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|a brain tumor
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|a screening tool
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|a Medical equipment and techniques / bicssc
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|a U-Net
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| 653 |
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|a acquired immunodeficiency syndrome
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|a continuation therapy
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|a n/a
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|a brushed
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|a elderly patient
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|a mental and emotional decline
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| 653 |
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|a robot
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| 653 |
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|a orthodontics
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| 653 |
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|a diagnosis
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| 653 |
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|a hospitalization
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| 653 |
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|a humanoid social robot
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| 653 |
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|a tongue drive system
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| 653 |
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|a CAD system
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| 653 |
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|a exoskeleton device
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| 653 |
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|a care robot
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| 653 |
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|a home-based
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|a clinical decision
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| 653 |
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|a consumer health informatics
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| 653 |
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|a urination and defecation care
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| 653 |
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|a automation
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| 653 |
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|a social media
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| 653 |
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|a Remote Monitoring Digital Solutions (RMDSs)
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| 653 |
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|a public health informatics
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| 653 |
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|a human immunodeficiency virus
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| 653 |
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|a population health
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| 653 |
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|a inductive tongue control system
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| 653 |
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|a child patient
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|a goal setting
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| 653 |
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|a AI Treatment Assessment
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|a virtual reality
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| 653 |
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|a motor coordination
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| 653 |
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|a COVID-19
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|a multi-sensor fusion detection algorithm
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| 653 |
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|a expectation confirmation theory
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| 653 |
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|a AI
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| 653 |
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|a trust typology theory
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|a older adults
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|a assistive technology
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|a rehabilitation
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|a gait
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|a servo motor
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|a ChatGPT
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|a torque
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|a personal satisfaction
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| 653 |
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|a personalized advertisements
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|a spinal cord injuries
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| 653 |
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|a public health communications
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| 653 |
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|a segmentation
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| 653 |
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|a living alone
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|a stroke
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| 653 |
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|a telemedicine
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| 653 |
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|a social isolation
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| 653 |
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|a caregiver
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| 653 |
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|a Facebook advertisements
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| 653 |
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|a CNN
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| 653 |
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|a personal privacy concerns
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| 653 |
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|a actuators
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| 653 |
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|a testing
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| 653 |
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|a artificial intelligence
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| 653 |
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|a upper extremity
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| 653 |
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|a classification
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| 653 |
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|a robotic exoskeletons
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| 653 |
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|a gait robot
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| 653 |
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|a virtual rehabilitation
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| 653 |
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|a assistive technology sports rehabilitation
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| 653 |
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|a physical fitness
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| 653 |
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|a tongue barbell piercing
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| 653 |
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|a precision medicine
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| 653 |
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|a regulation
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| 653 |
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|a elder
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| 653 |
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|a loneliness
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| 653 |
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|a Teledentistry Cephalometrics
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| 653 |
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|a brushless
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| 700 |
1 |
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|a Giansanti, Daniele
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
5 |
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|a 10.3390/books978-3-0365-7688-6
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/100821
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/7284
|7 0
|x Verlag
|3 Volltext
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| 082 |
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|a 610
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|a 140
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|a 380
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|a 700
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|a The field of healthcare is constantly evolving and advancing with new technologies and innovations. Among these, assistive technologies, robotics, and automated machines are rapidly gaining ground as powerful tools to improve the quality of care and enhance patient outcomes. From wearable devices that monitor vital signs to surgical robots that assist in complex procedures, these technologies have the potential to revolutionize the way we deliver healthcare. The development and the integration of assistive technologies, care robots, and automated machines are strategic both as single components, when paired together, and when interconnected in the health domain.This reprint explores the latest developments in assistive technologies, robotics, and automated machines in the health domain, providing a comprehensive overview of their applications and potential impact. The reprint is for the benefit of healthcare professionals, researchers, engineers, and students interested in these rapidly evolving fields.
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