To develop methods for analyzes and monitor of  map the intersection(s) of nephrology data in relation to CKD  via wearable technology (MI band and Yu band).  To study effects of daily life routine activities on data by a wearable devices that can obtain real-time CKD data, help technologists understand medical aspects, and clinicians to understand technological processes them and provides assistance based on pre-determined specifications in   CKD patients in Agra city, India.   Total of 78  CKD patients were taken as subject with an equal ratio of male and female. Wearable monitoring devices were put on the wrist of CKD patients  for 30 days and a questionnaire was filled out by each patient.  Both diabetes and cardiovascular disease in turn are known as important factors for developing CKD and aggravation toward once end-stage renal disease.  In all subjects, blood glucose was measured on daily basis  with  day to day data of their monitoring of step count, blood pressure, calorie burnt, insulin dose, motion time i.e. every time when your body was in motion, sleep monitoring (deep sleep, light sleep, wake up time), monitoring heart rate, cardiac arrhythmias to know daily routines and recording them for health purpose.  Present results shown that both wearable device  reading showed there was a normal  heart rate, more calorie burnt  with better control of sugar control and average good sleep count in more  physically workout, include walking in kidney patients  compared to less physically workout CKD patients, identified by professional physiotherapists.   Both device reading showed that after changing lifestyle routine among less physically active CKD patients, their post- CKD events normalize. With this study we show that online assistive feedback for CKD patients is possible with their health awareness, exercising and motivate further studies.