ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Breath, Pulse, and Speech: A Multi-Parameter Wearable System using Airflow-Thermoelectric Fusion Technology.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Decoupling multiphysics interference for precise, real-time piezoresistive airflow sensing by integrated laser-induced graphene system.Science advances · 2026Article
- A Sensitive Thermoelectric Respiratory Sensor Using a Hollow-Square Structure of Cubic Silicon Carbide-Based Heterojunction.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Breath, Pulse, and Speech: A Multi-Parameter Wearable System using Airflow-Thermoelectric Fusion Technology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Improving the Accumulation and Solubility of Human Interferon-γ (hIFN-γ) in Escherichia coli: A Fusion Protein-Based Method and Network Pharmacology Analysis.Applied biochemistry and biotechnology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
In medical emergency scenarios, conventional single-parameter monitoring cannot fully assess patient conditions, and current technologies lack intelligent emergency-state recognition, which delays timely treatment. To overcome these challenges, this study develops a high-performance flexible thermoelectric textile-based wearable system that generates a 139.7 mV open-circuit voltage at ΔT = 30 K. To prevent skin-thermoelectric contact from distorting sensor readings, a Kirigami spacer is integrated to ensure proper air gaps while maintaining flexibility and breathability. By integrating optical cardiac sensing, the system establishes a thermoelectric-optical system for wireless real-time cooperative monitoring of both respiration and cardiac activity. The research systematically investigates the effects of airflow velocity on thermoelectric output, leading to the development of an innovative dynamic airflow-thermoelectric response theory. This theory enables speech recognition through airflow variations with 98% accuracy. Additionally, the study creates a multi-source fusion recognition model that combines respiratory patterns, speech-airflow, and cardiac signals to identify emergency states with 98% accuracy. These advances supplement the theoretical understanding of thermoelectric responses to physiological activities while providing decision support for emergency conditions, demonstrating considerable potential for clinical application.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.