14th Student Research Symposium

{In conjunction with 20th ICDCIT – 2024)
17th – 20th January 2024
Kalinga Institute of Industrial Technology,
Deemed to be University, Bhubaneswar, Odisha, India

Submit Book Chapter
(Easy Chair Link)
Title of the Book : Smart Wearables for Digital Medicine

Digital medicine is well facilitated by Internet technology. Digital medicine services help users to access medical information where customers can utilize the updated clinical data records. Digital medicine also have provision for personalized medical support to the patient, medical staffs, and clinical centers. Moreover, due to constant rise in wearables technology and mobile devices, sensors oriented approach along with smart cloud computing is shifting our conventional clinical services to adopt a more personalized medical framework. Wearable modules are now available in clinical scenario, as an interface of healthcare research and care. In this context, wearable units are denoted as vital medium for a more digitized, customized and prevention healthcare. Sensory modules can gather various kinds of medical based information. This will be fruitful for patients with different health disorders to interact with medical experts in an uninterrupted manner.

Due to mobile digitization era, various opportunities have emerged in healthcare sector and so digital medicine needs to embed this recent technologies using advanced sensors. Therefore, it provides innovative solutions for healthcare. IoT based sensory units play a critical role in aggregating medical based metrics from patients, using wearables modules. It may continuously track the progress of health parameters and thereby analyze the effectiveness of the ongoing therapies. Digital medicine can facilitate in providing quick, cost effective and harmless treatment. There exists several previous works involving sensors base implementations being applied in some medical functionalities. Sensors based approach also monitors online signals of relevance during clinical operations. Thus, embedding multi- functional sensors units in clinical procedures is an integrated alternative consisting of interconnected sensory units, wearable medical modules, and clinical models which are able to enhance healthcare diagnosis with limited cost and synchronized response delivery. These recent advanced approaches are able to bring altogether several creative alternatives for mobile digital medicine. Similarly, there exists multiple opportunities for futuristic works on this domain. Machine intelligence makes it more feasible and reliable. There are many benefits of applying advanced sensors in digital medicine from not only a patient point of view but also it is productive for a medical expert and clinical centers too. As an example, cost minimization, enhanced diagnosis, quick health risks detection, proactive diagnosis, robust medicinal support and restricted error regulation.

This edited book intends to collect latest works in application of modern wearable sensory units for digital medicine and specifically desires to verify their usage in patients and clinical procedures. Systematic and technical works which present recent developments on new models and applications on digital medicine using wearables are encouraged in this handbook. The purpose of this edited book is to bring together original unpublished research and review articles discussing how to improve digital medicine using a more personalized sensor driven environment.

Topics of this edited book include but are not limited to computational, theoretical, experimental, clinical and applied aspects of the following:

Section I: Advanced architectural frameworks for digital medicine using wearables
  • Computational Intelligence for optimized clinical systems
  • Ambient Intelligence models in e-healthcare
  • Computer vision and speech Understanding in healthcare
  • Cognitive Informatics prototypes in biomedicine
  • Interpretability driven artificial intelligence in medicine.
  • Explainable deep learning architectures
  • Deep reinforcement learning for electrophysiological signals.
  • Human-Machine Interactive personalized healthcare
  • Wearables based e-medicine and decision support.
  • Secure privacy preserving models for e-medicine
  • Digital medicine driven Cloud systems.
Section II: Applications of advanced wearables driven digital medicine
  • NLP for digital clinical data analysis
  • Cognitive learning for patient psychology
  • Medical Image Diagnosis Using Deep Learning Models.
  • Soft computing approaches for telemedicine
  • Advanced wearables in patient diagnosis
  • Unsupervised and semi-supervised learning in biomedical data
  • Heuristic Planning applications in e-medicine
  • Network Intelligence applications in e-healthcare
  • Pervasive computing in e-medicine support
Section III: Futuristic enhancements in wearables coupled digital medicine
  • Distributed smart sensory models for disease risks analysis.
  • Hybrid data storage and processing in e-medicine
  • Performance evaluation of e-medicine architectures
  • Information management and support in digital medicine
  • Generative adversarial networks for health data
  • Multi-modal techniques and ensemble architectures for medical records
  • Pattern recognition for imaging and genomics
  • Blockchain technology in e-healthcare using wearables
  • Probabilistic reasoning in healthcare management

Important Dates :

30th September, 2023 : Last date for submission of book chapter
30th October, 2023 : Book chapter acceptance (Preliminary) notification to authors
5th September 2023 : Final Submission of the paper for the Book Chapter
10th November, 2023 : Book chapter acceptance (Final) and Camera ready chapter submission due

EasyChair Link
14th Student Research Symposium , 2024

Dr. Sushruta Mishra,
School of Computer Engineering,
Kalinga Institute of Industrial Technology, India

Dr. Subhashish Das
School of Computer Engineering,
Kalinga Institute of Industrial Technology, India