Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Intelligent Iot and Assistive Systems for Neurocognitive Healthcare

Intelligent Iot and Assistive Systems for Neurocognitive Healthcare

Ben Othman, Soufiane

Hardcover

Medical ReferenceTechnology & EngineeringGeneral Computers

ISBN13: 9798260004623
Publisher: Igi Global Scientific Publishing
Published: Sep 24 2026
Pages: 496
Language: English
Neurocognitive disorders are becoming one of the fastest-growing challenges in global healthcare. Neurocognitive conditions demand exactly the kind of continuous, personalized care that traditional healthcare systems were not built to deliver. That gap is pushing new technology into the space: smart sensors, wearables, brain-computer interfaces, and connected medical systems that can capture physiological and behavioral data in real time. Paired with machine learning and edge or cloud computing, these tools are starting to shift neurocognitive care away from reactive treatment and toward earlier detection and more personalized intervention. Assistive technologies are proving just as important on the day-to-day side, with smart homes, cognitive support tools, and robotic assistants helping patients stay independent while easing the burden on caregivers. None of this works, though, without careful attention to usability, privacy, and the ethical weight of handling deeply sensitive health data. Intelligent IoT and Assistive Systems for Neurocognitive Healthcare advances the state of knowledge and practice in neurocognitive healthcare through the integration of intelligent IoT technologies and assistive systems. By connecting interdisciplinary research in artificial intelligence, machine learning, wearable and ambient sensing, and neurocognitive science with real-world case studies and pilot deployments, this book equips readers to bridge the gap between technological innovation and clinical practice, while addressing critical challenges in security, privacy, and ethical AI. Covering topics such as adaptive healthcare systems, early detection, and wearable sensors, this book is an excellent academic resource for graduate and doctoral students, biomedical engineers, clinicians, neurologists, rehabilitation specialists, cybersecurity experts, healthcare administrators, policymakers, and more.

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