[Retracted] Artificial Intelligence of Things- (AIoT-) Based Patient Activity Tracking System for Remote Patient Monitoring

Table 2

Components of the system.

Hardware components		Description
Processor	nRF5340 Development Kit	It is the brain behind the system. It is an SoC, powered with two-arm® cortex®-M33 processors, has all the processing power to execute machine learning model and built-in communication modules such as BLE, Zigbee, Thread. The kit is used to design sensor nodes.
	Raspberry Pi 4	It has Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5 GHz. This kit is used to design gateway nodes for the system.
Sensors	X-NUCLEO-IKS02A1 Shield	It is an industrial motion MEMS sensor expansion board. It embeds the following modules.
		(i) ISM330DHCX 3-axis accelerometer
		(ii) 3-axis gyroscope
		(iii) IIS2MDC 3-axis magnetometer
		(iv) IIS2DLPC 3-axis accelerometer
		(v) IMP34DT05 digital microphone
		The accelerometer and microphone are used in the proposed system.
	SparkFun Digital Temperature Sensor	It is used for reading body temperature.
	SparkFun Pulse Oximeter and Heart Rate Sensor	It is used to monitor patients’ heart rate and oxygen saturation.