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IoT Based Stroke Rehabilitation Monitoring System

EasyChair Preprint no. 7482

5 pagesDate: February 19, 2022


Stroke is a perplexing and lethal neurological condition and is the second leading cause of death worldwide. One of the severe repercussions induced by stroke is hemiparesis. It causes weakness or loss of function on one side of the body. It can be challenging to live with such a disability as it hinders normal day-to-day activities. It takes a multidisciplinary team of physicians, psychiatrists, and caretakers to treat patients suffering from this disorder. Therefore, it is of the utmost importance to constantly monitor and treat the patients to improve their chances of recovery. This process can be complicated due to patient safety concerns during a pandemic such as covid 19. It increases the risk as it increases the possibility of another stroke attack. It also decreases the treatment’s effectiveness as physical contact between doctor and patients has been reduced to ensure safety from covid 19. In our work, we developed a remote IoT-based stroke monitoring system that measures the patient’s movement. This data is then sent to the cloud servers, where the concerned medical professionals can remotely access them to analyze and monitor the patient’s progress.

Keyphrases: inertial measurement, IoT, Post-stroke rehabilitation monitoring system

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sridhar Arjunan and Sriram Priyadharashan and Vaishnav Kumar Suresh Kumar},
  title = {IoT Based Stroke Rehabilitation Monitoring System},
  howpublished = {EasyChair Preprint no. 7482},

  year = {EasyChair, 2022}}
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