Publication2025
AI-Augmented Signal Processing Models for Remote Health Monitoring in Low-Resource Settings
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 IEEE 2nd International Conference on Information Technology Electronics and Intelligent Communication Systems Iciteics 2025
- Published
- 1 January 2025
- DOI
- 10.1109/iciteics64870.2025.11341275
- Scopus ID
- 105033239180
- Authors
- 5
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
AI-augmented signal processing models deployed on edge devices enable remote health monitoring including ECG and respiratory signal analysis in low-resource rural settings.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
10 Reduce inequality within and among countries
Distributed AI healthcare technology reduces inequality by expanding diagnostic capacity to remote and underserved communities.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Equitable health monitoring technology extending healthcare access to distant and underserved populations.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “AI-Augmented Signal Processing Models for Remote Health Monitoring in Low-Resource Settings”. Kortex.