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Wearable device to measure body signals and find Health Problems Early

Computational Approach for Predictive Analysis of Vital Signs Collected using a Suitable Wearable Device - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/05/086874
Enrollment
700
Registered
2025-05-13
Start date
Unknown
Completion date
Unknown
Last updated
2025-05-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: A00-B99- Certain infectious and parasitic diseases

Interventions

Intervention1: Nil: Nil

Sponsors

Manipal Academy of Higher Education,Manipal
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Healthy individuals and mild infectious Persons

Exclusion criteria

Exclusion criteria: Pregnant Women, Children, Fetuses, Physically challenged, Terminally ill, Seriously ill

Design outcomes

Primary

MeasureTime frame
The system helps to acquire vital signs and do predictive analysis.Timepoint: The system helps to acquire vital signs and do predictive analysis.—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactSavithri Prabhu

Manipal Institute of Technology, Manipal

gm.bairy@manipal.edu9845248317

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026