[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.