and are listed in Table 2. The general humidity of Voltage (V) is determined as: V ADC / 1023 5 % humidity V 0.958 / 0.0307 (3) (4) Additionally, the range of heart rates considered to determine the wellbeing of the patient are listed in Table 3. Based on these ranges, the guidelines for diagnosing the illness of the patient are performed. The criteria for several levels of wellbeing are listed in Table 4. Experimental Results This paper makes remote monitoring of patients conceivable. As we are focusing more on wearable technology, it is useful for patients as well as caretakers who need to screen their wellbeing status. The advancement here is the utilization of Python as a central product as opposed to utilizing a Wi-Fi module. Python is a flexible language that performs sequential transmission with the Arduino and associates with the think speak server. This sensor information is then transmitted from the information base worker. This information can be obtained from the cloud by the approved clients utilizing the IoT application stage. The information provided by the sensor about the patient is shown in the application illustrated in Fig. 4. Fig. 5 and Fig. 6 show the performance analysis of the IoB based sensor system with network delay and the usage of CPU and memory. The sensors were connected to a microcontroller with an integrated 2.4 GHz transceiver. The onboard flash memory allows storing up to 10 h of measurement data. The monitor was implemented as a smart wearables insole that was comfortable to use in regular motor activities and was used to monitor a subject's movement for longer periods of time. However, the insole requires initial calibration for each individual in order to make an inclination correction. Table 3 - Heart rates Heart rate (Pulse Rate) 60-100 BPM > 100 <60 Level Normal High Low Heart Rate Low Normal High 68 Table 4 -Diagnosing diseases Temperature of Body Low Checkup Normal Not healthy Hypothermia Healthy Checkup Not healthy High Checkup Fever Checkup Conclusion and Future Work There have been numerous applications developed for health care that are used in mobile ambulances and fixed wards of the hospital. The design is accessible easily and flexible where the system only requires to be connected to the network. As it is cloud-based, physical data storage is not required. For doctors, a remote system of monitoring patients will be helpful for effective and timely treatment. The IoB model aims to achieve better treatment by better observing. These frameworks can include different kinds of little physiological sensors and transmission modules. Consequently, the system can work with minimal expense, throughout the day, using wearable sensors that monitor movement and status checking. Through Wi-Fi a notification will be sent to the handset of doctors when IEEE Instrumentation & Measurement Magazine May 2022 Fig. 4. Sensor-based values displayed on IoT application platform. Fig. 5. IoB-based sensor system's network delay. Fig. 6. CPU and memory usage of proposed device