Programs
- Amrita’s Fetal Cardiology learning ( AFCL) Module – Fetal Heart Hybrid - Fellowship
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
The main purpose of this research work is to develop a wireless sensor network system that can continuously monitor and detect cardiac disease experienced in patients at remote areas. A wearable wireless sensor system (WWSS) is designed to continuously capture and transmit the ECG signals to the patient’s mobile phone. A heterogeneous wireless network design is also proposed for the continuous transmission from WWSS to a Central Data Center (CDC). This system will contribute in reducing Cardiac diseases, leading to death of a patient, and also act as an effective health care service to patients in rural area, by extending the services of highly qualified doctors in urban areas.
This system is designed to wirelessly monitor a patient for symptoms of epilepsy, such as a seizure, and to alert caregivers as quickly as possible, thus reducing the chance of the patient injuring themselves or others. The sensor and the interleaving network are all wireless based.
This remote monitoring system will be used to diagnose a patient for the condition of sleep apnea. This automated system will be a significant aid to doctors, saving a considerable amount of time in the diagnosis of sleep apnea.
This remote monitoring system will be used to monitor multiple patients for the parameters such as temperature, blood pressure, SpO2, ECG, EEG, EMG etc. This automated system will be a significant aid in monitoring multiple patients using the limited number of doctors and nurses, during disasters and also for hospitals having limited emergency care rooms. This system will save a considerable amount of time in the diagnosis and provide fast health care.
Get latest updates & announcements from this school in your inbox