SENSOR NETWORK FOR QUANTIFICATION OF INFANT GENERAL MOVEMENTS FOR THE DIAGNOSIS OF CEREBRAL PALSY

SENSOR NETWORK FOR QUANTIFICATION OF INFANT GENERAL MOVEMENTS FOR THE DIAGNOSIS OF CEREBRAL PALSY

Dr.B.Sankaragomathi¹, P.Ajaychandran² , G.Hariprasanth³ , T.Javakar⁴ , K.Manoj⁵

¹Professor,^2,3,4,&5 UG Students, BE, Final Year,

Department of Biomedical Engineering

Sri Shakthi Institute of Engineering and Technology, Coimbatore, India

---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract: One of the main causes of sudden infant death syndrome (SIDS) is causes of newborn deaths while they are sleeping. We matched several devices to the infants to increase their safety. emerging fields of study for the creation of Infant Night Watch. The Wearable IoT Device, the Gateway, and Medical Interface make up this Smart Wearable System (SWS). Body temperature, heart and breathing rates, and blood oxygen level all be monitored by the Wearable IoT Device, which is a wireless sensor node built into a chest belt.

This collection of data is delivered to the Gateway using wifi technology, which the user can access via the H Medical Interface. In the event of a critical occurrence, the patient’s mobile will sound an alarm that is audible. The Baby Night Watch is a crucial tool for medical research since it enables the viewing of historical physiological data and its export to various dataset types. The SWS has the capacity to recognise circumstances that could pose a life-threatening hazard to a child, according to experimental experiments.

Key words – Body Temperature, Heart rate, breathing rates, blood oxygen level, smart wearable system.