Wearables Remote Monitoring Narrative Review

I am preparing a Q2-level Elsevier submission that explores smart wearables for health monitoring, with a clear emphasis on remote patient monitoring. I need a full narrative review that not only sums up the current evidence base but also provides thoughtful expert commentary on clinical adoption, data quality, regulatory hurdles, and next-wave trends (AI-driven analytics, interoperability, privacy). Scope • Focus squarely on medical-grade wearables used outside the clinic (continuous glucose monitors, ECG patches, cuff-less BP devices, multi-sensor bands, etc.). • Compare and contrast leading technologies, validation studies, and real-world deployment outcomes published from 2019 onward. • Weave in discussion on clinician workflow integration, patient adherence, and health-economic impact. What I expect to receive 1. A polished manuscript (≈6,000–8,000 words) structured to Elsevier guidelines: abstract, keywords, main text with sub-headings, illustrative figures/tables, conclusions, and complete reference list in Vancouver style. 2. Figures as separate high-resolution files (PNG/SVG) and editable tables. 3. Turnitin-style plagiarism report (<10 %). 4. Short cover letter highlighting significance and journal fit. A background in biomedical engineering, digital health, or clinical research will help you synthesise the literature and add meaningful expert insight. Familiarity with PubMed, Scopus, and reference managers like Mendeley or EndNote is essential, and I welcome the use of AI-assisted searching as long as sources are meticulously verified. Let me know your relevant experience, any recent publications you have authored, and an outline of how you will organise the review before writing in full.