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5-in-1 Wearable Device

Thematic Area: Amrita Spandanm- PMS

Project Id: Amrita Spandanm PMS

Principal Investigator: Dr. Maneesha V Ramesh

AmritaTeam Members: Dr. Rahul Krishnan, Prof. K A Unnikrishna Menon, Mr. Ramesh Guntha, Ms. Durga P., Ms. Shereena Shaji

Indian Collaborators: AIMS Kochi

5-in-1 Wearable Device

India’s 1st 5-in-1 wearable revolutionizes health monitoring, measuring blood glucose, blood pressure, heart rate, blood oxygen, and respiratory rate non-invasively. Patented AI algorithms provide rapid results, syncing with smartphones and securely transmitting data for remote access, enhancing timely assessments, teleconsultations, and patient care.

Amrita 5-in-1 health monitor uses a small single finger clip to compute these vitals and the results can be obtained in less than two minutes. The device is connected to the patient’s smartphone and the data is also sent to a secure hospital cloud which will enable any patient-authorised doctor to access these vital parameters remotely from anywhere. With this, the doctor would be able to assess the condition of the patient in a timely manner as well as initiate teleconsultation with the patient to suggest any remedial measures.

The product also integrates multiple machine learning models that can predict the potential deterioration of patients and provide early warning decision support to doctors for acute hypotensive episodes, sepsis, sleep apnea, and atrial fibrillation.

The device has been extensively tested on more than 2000 patients at the Amrita Institute of Medical Sciences and various remote clinics in Kerala.

Publications

  • Padmavilochanan, Durga, et al. “Personalized diabetes monitoring platform leveraging IoMT and AI for non-invasive estimation.” Smart Health 30 (2023): 100428.
  • Nampoothiri, Sruthi N., et al. “Comparison of infrared and red photoplethysmography signals for non-calibrated non-invasive blood glucose monitoring.” 2020 IEEE Region 10 Symposium (TENSYMP). IEEE, 2020.
  • Luke, Anjana, Shereena Shaji, and KA Unnikrishna Menon. “Motion artifact removal and feature extraction from ppg signals using efficient signal processing algorithms.” 2018 International Conference on Advances in Computing,
  • Communications and Informatics (ICACCI). IEEE, 2018.
  • Luke, Anjana, Shereena Shaji, and Unnikrishna Menon. “Performance enhancement of a photoplethysmographic biosensor using efficient signal processing techniques.” 2018 3rd International Conference for Convergence in Technology (I2CT). IEEE, 2018.

Patent

  • “Systems, methods, and devices for remote health monitoring and management using internet of things sensors”, MV Ramesh, RK Pathinarupothi, ES Rangan, P Durga, PV Rangan US Patent 10,433,726 (granted)

Product

  • INDIA’’S 1st Non-invasive calibration- free 5- IN-1 DIABETES & CARDIAC HEALTH MONITORING

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