Wireless Smart Sensors for Digital Healthcare and Assisted Living
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 47532
Special Issue Editors
Interests: applied signal processing; machine learning; radar computing; digital healthcare
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Interests: Healthcare Bio-Sensors; Vital Monitoring Radar; Human-Computer Interface; Bio-Neural Signal Processing
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Interests: Dementia; Neurodegeneration; Neuroimaging; Clinical Neurology; Inflammation; Cognition
Interests: Schizophrenia; Bipolar Disorder; Suicide; Personality; Measurement
Interests: Anxiety Disorders (Social Anxiety Disorder, Phobia, Panic Disorders, OCD, PTSD); Mood Disorders (Depression); Cognitive Behavioral Therapy (CBT); Scale Development; ADHD; Information Processing in Anxiety and Depressive Disorders
Special Issue Information
Dear Colleagues,
With an increased proportion of elderly people and people with behavioural, psychological, and neurological disorders, technologies on digital healthcare and assisted living systems have recently been gaining a remarkable amount of attention. Smart wireless sensors can collect human data in a non-contact fashion and can provide a remote healthcare and assisted living environment by utilising technologies, such as signal processing, machine learning, edge computing, and the Internet of Things (IOT). Unlike the traditional wearable sensors, wireless sensors are considered to be more convenient as the users are not required to wear any sensor all the time. In addition, these sensors can provide a more natural configuration for a human–computer interface (HCI) in assisted living.
The main objective of this upcoming Special Issue on “Smart wireless Sensors for Digital Healthcare and Assisted Living” is to explore and share innovative wireless solutions for healthcare and assisted living. We are inviting research articles, tutorial papers, review papers and short communication papers related to the topics relevant to digital healthcare and assisted living using wireless sensors. These topics include, but are not limited to:
- Theories and algorithms on digital healthcare and assisted living:
- Challenges related to continuous non-contact monitoring systems for the prediction, prevention and intervention of medical issues against behavioural, psychological and neural disorders;
- Detection, recognition, and classification of human behaviours and activities using wireless sensor based deep-learning techniques (such as CNN, LSTM, ANN etc.);
- Signal processing for wireless smart sensors;
- Wireless smart sensor solutions for practical applications;
- Early detection and continuous monitoring of chronic diseases;
- Surveys on key wireless technologies for healthcare and assisted living applications;
- Comparative studies of different wireless sensors;
- Multi-sensory frameworks;
- Software as a digital therapeutic;
- Software as a medical device;
- Public datasets.
- Preclinical studies on chronic diseases such as:
- Heart failure;
- Atrial fibrillation;
- Type 2 diabetes;
- Dementia;
- Depression;
- Substance use disorder;
- Chronic insomnia;
- Chronic pain;
- Autism spectrum disorder;
- ADHD;
- Stress and anxiety;
- Fear;
- Schizophrenia.
- Hardware design:
- Sensor design;
- Supportive embedded hardware architecture;
- Hardware related implementation issues;
- System on chips for digital healthcare and assisted living sensors;
- MIMO systems.
- Supportive platform design:
- Remote acquisition of data for digital healthcare and assisted living environments;
- Cloud platforms utilisation;
- IoT;
- Human–computer interface (HCI).
Prof. Dr. Sung Ho Cho
Prof. Dr. Hyun-Chool Shin
Prof. Dr. Young-Hyo Lim
Prof. Dr. Hee-Jin Kim
Prof. Dr. Kounseok Lee
Prof. Dr. Hyun-Soo Kim
Guest Editors
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