Submitted:
28 June 2025
Posted:
30 June 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Methods
3. Results
3.1. Evolution and Types of Wearable Devices
3.2. Objective Measurement of Skin Parameters
| Aesthetic Parameter | Measured Metric(s) | Representative Technologies | Source |
|---|---|---|---|
| Skin Hydration & Barrier Function | Transepidermal Water Loss (TEWL), Humidity | VapoMeter, MoistureMeterSC, Wearable Patches | Nuutinen et al., 2023 |
| Skin Elasticity & Firmness | Elasticity, Firmness | ElastiMeter, SkinFibroMeter, Digital Twins | Nuutinen et al., 2023; Han et al., 2023 |
| Pigmentation & Skin Tone Uniformity | Melanin, Erythema, Dark Spots | SkinColorCatch, AI Analyzers (VISIA, Meicet MC88) | Logger et al., 2022 |
| Wrinkles & Texture Analysis | Fine Lines, Wrinkles, Smoothness | AI Analyzers (VISIA, Meicet MC88), 2D Wrinkle Test | Han et al., 2023 |
| Temperature & Inflammation Monitoring | Skin Temperature, SpO2 | Multi-modal Patches, Non-contact Devices | Kim et al., 2024 |
| Body Contouring & Fat Reduction | Body Fat, Circumference | Bioimpedance Wearables, HIFEM Devices | Ghalamghash, 2025c |
- Skin Hydration and Barrier Function: Devices like VapoMeter and MoistureMeterSC assess TEWL and hydration, enabling proactive post-treatment care (Nuutinen et al., 2023). Continuous monitoring detects barrier compromise, improving recovery after laser treatments or chemical peels (Kim et al., 2024).
- Skin Elasticity and Firmness: ElastiMeter measures elasticity non-invasively, validating anti-aging treatments like HIFU (Nuutinen et al., 2023; Fabi, 2014).
- Pigmentation and Skin Tone Uniformity: Sensors and AI analyzers (e.g., SkinColorCatch, VISIA) quantify pigmentation, reducing assessment biases (Logger et al., 2022; Han et al., 2023).
- Wrinkle and Texture Analysis: AI-driven systems provide quantifiable evidence of wrinkle reduction, supporting subtle outcomes (Han et al., 2023; Ghalamghash, 2025a).
- Temperature and Inflammation Monitoring: Multi-modal patches detect early complications like infection, enhancing safety (Kim et al., 2024).
3.3. Post-Procedure Recovery and Complication Detection
3.4. Enhancing Patient Engagement and Adherence
3.5. Integration of AI and Digital Health Platforms
4. Discussion
5. Conclusions
Acknowledgements
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