Healthy Volunteers Only
Conditions
Keywords
Seismocardiography, ECG, Exercise Responsivity
Brief summary
In this study, wearable multi-modal microsensors were deployed to simultaneously capture seismocardiography (SCG) and electrocardiography (ECG) signals, delineating the exercise-load-dependent responsiveness of SCG-ECG dynamic coupling during graded-speed treadmill protocols.
Detailed description
The heart adapts to varying exercise loads primarily by augmenting heart rate and contractility to achieve matching increases in cardiac output. However, whether there exists an intrinsic triaxial regulatory mechanism governing the interdependencies among 'exercise load - heart rate response - contractility response' remains unknown. In this study, participants performed treadmill exercise at multiple speed gradients (3-8 km/h). Seismocardiography (SCG) signals were captured via an inertial measurement unit (IMU) positioned on the precordium and were used to characterize mechanical cardiac contractility. Single-lead precordial ECG provided heart rate dynamics, while CPET-derived oxygen uptake (VO₂) indexed exercise intensity. The primary objectives were to delineate SCG-ECG responsivity patterns under graded exercise intensities and quantify potential intrinsic laws linking exercise load, heart rate adaptation, and contractility modulation.
Interventions
BEHAVIORALMultiple speed increments from 3km/h to 8km/h on a treadmill
Healthy participants will undergo a fixed experimental protocol of multi-stage treadmill speed walking/running wearing microsensors and a respiratory/metabolic testing mask.
Sponsors
Shanghai Ruiwei Digital Technology Co. Ltd.
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
Yes
Inclusion criteria
* Age 18-60 years * Healthy individuals with no significant medical history * Signed informed consent as an acceptance to participate to the trial
Exclusion criteria
* History of severe cardiovascular, cerebrovascular, pulmonary, hepatic, renal, psychiatric, or other critical systemic disorders * Peripheral vascular diseases, musculoskeletal disorders, or other conditions limiting physical mobility * Uncontrolled hypertension (systolic blood pressure \>140 mmHg or diastolic blood pressure \>90 mmHg) * History of anemia * Moderate to severe obesity (BMI ≥32.5 kg/m²) * Pregnant or lactating women * Any other conditions deemed ineligible for participation per investigator's discretion
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Changes in Seismocardiography (SCG) Signal Amplitude (m/s²) | The entire test will be completed in approximately 90 minutes. | Peak-to-peak amplitudes of Seismocardiography (SCG) signals will be measured using a triaxial accelerometer (sampling rate: 500 Hz). The primary parameter assessed is the signal amplitude in meters per second squared (m/s²) per cardiac cycle. Values will be averaged over 30-second artifact-free epochs during rest and exercise stages. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Changes in Electrocardiogram (ECG) R-R Intervals (ms) | The entire test will be completed in approximately 90 minutes. | R-R intervals, measured in milliseconds (ms), will be derived from a single-lead Electrocardiogram (ECG) recording (sampling rate: 250 Hz). The specific parameter assessed is the time duration between consecutive R-waves. R-peaks will be auto-detected and confirmed by amplitude and slope thresholds. Data will be averaged over 30-second epochs synchronized with SCG signals. |
Countries
China
Contacts
CONTACTSEN WANG, M.D., Ph. D.,
Outcome results
None listed