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Detecting Breathing Patterns Using a contactless Ballistocardiography Device

Assessment of Abnormal Respiratory Patterns Using a Non-Invasive Ballistocardiography Device - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/02/080139
Enrollment
30
Registered
2025-02-07
Start date
Unknown
Completion date
Unknown
Last updated
2025-03-03

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

Conditions

Health Condition 1: 4- Measurement and Monitoring

Interventions

Intervention1: NIL: NIL Control Intervention1: NIL: NIL

Sponsors

Turtle Shell Technologies Pvt Ltd
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Consenting adults of age 18 to 65 years Weight between 40kg to 120kg Able to provide a written consent

Exclusion criteria

Exclusion criteria: Weight below 40 kgs and above 120 kgs Currently pregnant Exhibit injuries deformities or other abnormalities that in the opinion of the investigator may prevent proper placement of accessories A significant medical condition in the judgment of the investigator, which may compromise the study testing procedures

Design outcomes

Primary

MeasureTime frame
Identification and characterization of "M-shaped" respiratory waveforms in BCG signals across various controlled breathing scenarios. Quantification of the frequency and consistency of "M-shaped" waveforms in relation to specific respiratory patterns. Statistical metrics describing waveform variability, including amplitude, duration, and shape consistency.Timepoint: Baseline

Secondary

MeasureTime frame
1. Changes in waveform morphology, amplitude, and frequency during different breathing patterns. 2. MAE between Dozee RR and reference RR across all scenarios. 3. MAE between Dozee HR and reference HR across all scenarios 4. Limits of agreement and bias observed in Bland-Altman plots. 5. Regression slope and intercept from Deming regression analysis. 6. Pearson correlation coefficient between Dozee RR and reference RR. 7. Concordance of waveform features (e.g., timing, shape, amplitude) between BCG signals and multi-modal sensor outputsTimepoint: At Baseline

Countries

India

Contacts

Public ContactDr Abdul Khayum K

Turtle Shell Technologies Pvt Ltd

abdulkhayum@dozee.io9600331252

Outcome results

None listed

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