Apoorva Gaidhani

San Diego State University

Papers

1

Total Citations

39

H-Index

1

About

Apoorva Gaidhani’s research lies at the intersection of wearable sensor technology, biomedical signal processing, and human motion analysis, with a focus on extracting physiological markers from everyday activities. In her most-cited work, “Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion” (2017, 39 citations), she pioneered a method to monitor breathing patterns using inertial sensors during dynamic trunk movements—such as standing and bending—addressing a critical gap in continuous respiratory monitoring for conditions like asthma and panic attacks. This contribution demonstrates her ability to transform raw motion data into clinically relevant insights, enabling non-invasive, real-time vital sign tracking outside laboratory settings. Gaidhani’s work has been recognized for its practical implications in wearable health systems, bridging the gap between biomechanics and ambulatory care. Her research not only advances the field of mobile health but also empowers patients and clinicians with tools to detect irregular respiratory function during daily life, marking her as an emerging leader in sensor-based physiological monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
39
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion
39 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: San Diego State University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago