## 5 Discussion
These parameters will corroborate the system's energy optimization assertions and direct future hardware and software improvements by enabling comparisons with other IoT-based health monitoring solutions. Future analyses will measure energy consumption per unit of processed biomedical data (e.g., milliwatts per kilobyte transmitted) and energy per monitoring session (e.g., Wh per 1 h operation under standard use settings) in order to assess the system's energy efficiency. The baseline measurements from cloud-only monitoring systems with comparable sensor configurations but no edge-level preprocessing or structured data transfer will be compared to these measurements. The energy-saving effects of the Monit4 Healthy system's edge computing and adaptive transmission approaches will be measurable through this comparison. Through the implementation of these improvements, the Monit4 Healthy system will become more fitting for long-term deployment in remote health monitoring and wearable medical devices, thus guaranteeing sustained operation in resource-constrained environments. _Roadmap for real-world deployment_  
To ensure a structured transition of the Monit4 Healthy system from laboratory validation to real-world healthcare environments, the following roadmap outlines the key phases of deployment, each with specific objectives, methodologies, and performance targets:  
* Phase 1--Pilot Trials in Controlled Clinical Settings
* _Objective:_ Evaluate reliability, usability, and accuracy under supervision of medical professionals. * _Activities_: Deploy Monit4 Healthy units in medical units for short-term trials; monitor ECG, EMG, and PPG signal acquisition; assess edge-cloud performance in operational conditions. * _Metrics_: User feedback, real-time alert responsiveness, signal integrity, data transmission stability, and power consumption profiles. * _Duration_: 3-6 months. * _Deliverables_: Technical report on system performance; validated integration with EHR platforms and telemedicine systems. * Phase 2--Multi-Site and Home-Based Testing
* _Objective_: Assess scalability, adaptability, and long-term reliability in diverse healthcare scenarios. * _Activities_: Deploy in multiple sites including home-care environments; focus on patient mobility, variable network conditions, and extended monitoring periods. * _Metrics_: Energy consumption trends, battery life in real conditions, network adaptability, anomaly detection rates, data privacy compliance. * _Duration_: 6-9 months. * _Deliverables_: Comparative performance analysis vs. cloud-only systems; refinement of adaptive power management; user satisfaction studies. * Phase 3--System Optimization and Hardware Refinement
* _Objective_: Miniaturize hardware components, improve energy efficiency, and enhance user ergonomics. * _Activities_: Design and fabricate custom PCBs for Medical Blackbox and EMG devices; integrate energy-aware scheduling; implement secure boot and firmware updates. * _Metrics_: Reduction in form factor, increased battery efficiency (target >12 h), and hardware validation. * _Duration_: 6 months (overlapping with Phase 2). * Deliverables: Optimized prototypes; industrial design for wearable/portable use; regulatory compliance planning (e.g., CE, FDA). * Phase 4--Integration into Smart Health Ecosystems
* _Objective_: Align Monit4 Healthy system with smart city infrastructure. * _Activities_: Pilot integration with municipal health dashboards, emergency services, and AI-powered health trend analytics; implementation of MQTT for scalable IoT communication. * _Metrics_: Interoperability benchmarks, real-time data aggregation at population level. * _Duration_: 9-12 months. * _Deliverables_: Full-scale deployment proposal; partnership reports; scalability studies.