All-printed chip-less wearable neuromorphic system for multimodal physicochemical health monitoring
California Institute of Technology · Sungkyunkwan University · +1 more institution
Abstract
Recent advancements in wearable sensor technologies have enabled real-time monitoring of physiological and biochemical signals, opening new opportunities for personalized healthcare applications. However, conventional wearable devices often depend on rigid electronics components for signal transduction, processing, and wireless communications, leading to compromised signal quality due to the mechanical mismatches with the soft, flexible nature of human skin. Additionally, current computing technologies face substantial challenges in efficiently processing these vast datasets, with limitations in scalability, high power consumption, and a heavy reliance on external internet resources, which also poses security…
Citation impact
- FWCI
- 26.67
- Percentile
- 100%
- References
- 47
Authors
12Topics & keywords
- Wearable computer
- Neuromorphic engineering
- Computer science
- Scalability
- Wearable technology
- Embedded system
- Signal processing
- Wireless
Funding
- NSNational Science FoundationAwards: 2444815, 2145802
- HMHeritage Medical Research Institute
- NRNational Research Foundation
- KIKorea Institute for Advancement of Technology
- NRNational Research Foundation of KoreaAwards: RS-2023-00237308, 2020R1A5A1018052
- MOMinistry of Science and ICT, South KoreaAwards: 2020R1A5A1018052, RS-2023-00237308
- NINational Institutes of HealthAwards: R01HL155815, R01DC021461
- MRMedical Research and Materiel CommandAward: HT9425-24-1-0249
- ARArmy Research OfficeAwards: W911NF-23-1-0041, W911NF
- UAU.S. Army Medical Research Acquisition ActivityAward: HT9425-24-1-0249