Abstract
Gait speed is suggested as an independent predictor of post-operative morbidity and mortality in elderly cardiovascular disease (CVD) patients. Society of thoracic surgeons has recently classified gait speed as the only important indicator of health for CVD patients. It has been seen that patients with slow gait speed above 70 years of age, taking more than 6 seconds to walk 5 meters are particularly at high risk for adverse outcomes. Twelve young participants walked in their self-selected, slow and fast speed with five reflective markers at sternum and heels and toes of both feet in laboratory environment. A smartphone was affixed at the pelvis using a smartphone holster. Simultaneously, an examiner used stopwatch to record the elapsed time necessary to cross 5 meter distance. Smartphone based app also computed gait speed. Intra-class correlation coefficients comparing velocities from camera system, smartphone and stopwatch systems were found to be highly reliable (ICC (3,k)=0.82) for slow walking speed. Similarly, fairly good reliability were found for fast (ICC(3,k)=0.70) and normal walking speed (ICC(3,k)=0.66). Five CVD patients were tested in clinical environment with smartphone and its feasibility was assessed for gait speed. This study shows that the smartphone and stopwatch gait speed methods have clinically acceptable agreement for the measurement of gait velocity in the two different environments. The smartphone based reliable measurements could help patients on their own to assess operative risks and health during perioperative period.
| Original language | English (US) |
|---|---|
| Title of host publication | 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014 |
| Publisher | ISA - Instrumentation, Systems, and Automation Society |
| Pages | 254-264 |
| Number of pages | 11 |
| ISBN (Print) | 9781632663917 |
| State | Published - 2014 |
| Externally published | Yes |
| Event | 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014 - Denver, CO, United States Duration: Apr 4 2014 → Apr 6 2014 |
Other
| Other | 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014 |
|---|---|
| Country | United States |
| City | Denver, CO |
| Period | 4/4/14 → 4/6/14 |
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Keywords
- Cardiovascular disease CVD
- Gait speed
- Inertial sensors
ASJC Scopus subject areas
- Bioengineering
- Biomedical Engineering
- Instrumentation
Cite this
Agreement in gait speed from smartphone and stopwatch for five meter walk in laboratory and clinical environments. / Soangra, Rahul; Lockhart, Thurmon.
51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014. ISA - Instrumentation, Systems, and Automation Society, 2014. p. 254-264.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Agreement in gait speed from smartphone and stopwatch for five meter walk in laboratory and clinical environments
AU - Soangra, Rahul
AU - Lockhart, Thurmon
PY - 2014
Y1 - 2014
N2 - Gait speed is suggested as an independent predictor of post-operative morbidity and mortality in elderly cardiovascular disease (CVD) patients. Society of thoracic surgeons has recently classified gait speed as the only important indicator of health for CVD patients. It has been seen that patients with slow gait speed above 70 years of age, taking more than 6 seconds to walk 5 meters are particularly at high risk for adverse outcomes. Twelve young participants walked in their self-selected, slow and fast speed with five reflective markers at sternum and heels and toes of both feet in laboratory environment. A smartphone was affixed at the pelvis using a smartphone holster. Simultaneously, an examiner used stopwatch to record the elapsed time necessary to cross 5 meter distance. Smartphone based app also computed gait speed. Intra-class correlation coefficients comparing velocities from camera system, smartphone and stopwatch systems were found to be highly reliable (ICC (3,k)=0.82) for slow walking speed. Similarly, fairly good reliability were found for fast (ICC(3,k)=0.70) and normal walking speed (ICC(3,k)=0.66). Five CVD patients were tested in clinical environment with smartphone and its feasibility was assessed for gait speed. This study shows that the smartphone and stopwatch gait speed methods have clinically acceptable agreement for the measurement of gait velocity in the two different environments. The smartphone based reliable measurements could help patients on their own to assess operative risks and health during perioperative period.
AB - Gait speed is suggested as an independent predictor of post-operative morbidity and mortality in elderly cardiovascular disease (CVD) patients. Society of thoracic surgeons has recently classified gait speed as the only important indicator of health for CVD patients. It has been seen that patients with slow gait speed above 70 years of age, taking more than 6 seconds to walk 5 meters are particularly at high risk for adverse outcomes. Twelve young participants walked in their self-selected, slow and fast speed with five reflective markers at sternum and heels and toes of both feet in laboratory environment. A smartphone was affixed at the pelvis using a smartphone holster. Simultaneously, an examiner used stopwatch to record the elapsed time necessary to cross 5 meter distance. Smartphone based app also computed gait speed. Intra-class correlation coefficients comparing velocities from camera system, smartphone and stopwatch systems were found to be highly reliable (ICC (3,k)=0.82) for slow walking speed. Similarly, fairly good reliability were found for fast (ICC(3,k)=0.70) and normal walking speed (ICC(3,k)=0.66). Five CVD patients were tested in clinical environment with smartphone and its feasibility was assessed for gait speed. This study shows that the smartphone and stopwatch gait speed methods have clinically acceptable agreement for the measurement of gait velocity in the two different environments. The smartphone based reliable measurements could help patients on their own to assess operative risks and health during perioperative period.
KW - Cardiovascular disease CVD
KW - Gait speed
KW - Inertial sensors
UR - http://www.scopus.com/inward/record.url?scp=84904876485&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904876485&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84904876485
SN - 9781632663917
SP - 254
EP - 264
BT - 51st Annual Rocky Mountain Bioengineering Symposium, RMBS 2014 and 51st International ISA Biomedical Sciences Instrumentation Symposium 2014
PB - ISA - Instrumentation, Systems, and Automation Society
ER -