Advancements in Wearable Biomedical Sensors for Continuous Health Tracking using Machine Learning Algorithm

Abstract

Over time, a clear pattern has appeared that an increasing number of people are taking their health seriously and are tracking it on a daily basis.  Wearable medical devices are becoming popular.  These small and  lightweight gadgets can be worn on your wrist.  These sensors are attached to many body parts and continuously monitor the heart rate, body temperature, oxygen saturation, blood pressure, and everyday activities.  In brief, they offer a fast overview of our health status.  The best aspect is that these gadgets make it easy to collect and share our health information, so we don't have to go to the  doctor all the time .  When the continuous data is used with machine learning and then  it becomes even more powerful. It can find small health changes that we might miss and warn us about problems before they get serious. It’s almost like having a personal health assistant that learns about us and helps us  to maintain our body healthy and fit. At the same time, scientists and technologists are giving doctors the tools they need to discover health concerns early without having to see the patient in person. Small wearable sensors—such, as cutting-edge smartwatches or discreet patches—are being used to keep an eye on a person’s health. For anyone dealing with ailments, like diabetes or heart disease these gadgets are very helpful. They streamline getting the care required to  trim down expenses and let people to maintain their overall health without the stream of doctor appointments