I need help converting this in to a more detailed functional block diagram. It is for a network of biosensors used for point of care diagnosis. The blocks must have their own unique identifier such as f_1i, f_2i, etc.

Missions, Roles, Internal Stakeholders Resources and Objectives Controls/Constraints Materials Relates Specifies Traced to Relates Mitigated by Acceptable Resources Acceptable Relates Outcome Relates Network of Wireless Biosensors for POC Diagnostics Standards and Relates elates Regulations Unacceptable Outcome Relates Unacceptable Caused by Caused by Resources Specifies Relates Unacceptable Materials Operating Opportunities Threats ConstraintsAcceptable Inputs/Outputs Inputs . Sensors . Voltage range, current range, etc. . User Interface . User commands. . Configurations settings. Outputs . Sensors . Filtered sensor data. . Processing Unit . Analyzed data is accurate, precise, and instantaneous. Decision Support System . Interpretations are clear and actionable. . User Interface . User-friendly. Appropriate notifications to user.Unacceptable Inputs/Outputs Out-of-range sensor data. . Sensor malfunction. . Environmental interference. Analysis Results. Inaccurate. . Misleading. . Incomplete. User interface errors. Invalid user commands. Invalid configuration settings. Wearable, wireless biosensor used for point-of-care diagnostics Provide real-time meonitoring of the patients' overall health. s Accurate and reliable data. # Instant data transmission. s Low power consumption. * Sensors act as data acguisition points. * The gateway pre-processes the sensor data. s The user interface serves as an interaction point with information from readings. The decision support system applies their medical knowledge and analyzes the medical results. s The processing unit computes and analyzes the data. Sensor Communication Processing Decision support User interface subsystem: subsystem: subsystem: subsystem: subsystem: . Fault detection . Secure data Modifiable . Integration of . Interface that and self- transfer using algorithms to medical is simple to calibration. authentication accommodate knowledge for use and and various precise intuitive for a . Power control encryption. biomarkers interpretations range of to enable and sensors. stakeholders. longer . Protocols with Alerts and operation. low power Pattern notifications . Support for consumption recognition that are multiple to extend and anomaly customizable. languages to battery life. detection increase using machine accessibility learning.\f