The use of a single inertial sensor to identify stride, step, and stance durations of running gait

Lee, James Bruce; Mellifont, Rebecca; Burkett, Brendan

doi:10.1016/j.jsams.2009.01.005

Cited by 125 publications

(129 citation statements)

References 20 publications

Supporting

Mentioning

116

Contrasting

Unclassified

Order By: Relevance

“…Vücut kütle merkezi olarak kabul edilen 1. sakral vertebra (S1). [32,33] ASIS (anterior superior iliac spine) ile aynı düzlemde olduğundan [34] el ile tespit edilen ASIS noktalarından S1 noktası belirlendi. Bu bölge alkol ile temizlendi ve gereken durumlarda fazla tüylerden arındırılması için tıraş edildi.…”

Section: Gereç Ve Yöntemlerunclassified

Effect of upper extremity swing restrain on walking energy consumption and balance

Erdoğan¹

2016

Turk J Phys Med Rehab

View full text Add to dashboard Cite

Cite this article as:Erdoğan AT, Dal U, Maraşlıgil B, Beydağı H. Effect of upper extremity swing restrain on walking energy consumption and balance. Turk J Phys Med Rehab 2016;62(4):329-36. ÖZAmaç: Bu çalışmada, kol salınımı kısıtlanmasının tercih edilen yürüme hızı, yürüme sırasında harcanan oksijen miktarı ve vücut kütle merkezi dikey yer değişimi üzerine etkileri araştırıldı. Gereç ve yöntemler:Çalışmaya Şubat 2011 -Nisan 2011 tarihleri arasında yaşları 18-30 yıl arasında değişen 52 sağlıklı erkek gönüllü katıldı ve beş farklı yürüme modeli kullanıldı. Her yürüme modeli için bireylerin zeminde tercih edilen yürüme hızları belirlendi. Bireyler bu hız ile koşu bandında yedi dakika yürütülerek oksijen tüketimleri kaydedildi. Birinci sakral vertebraya işaretleyici yerleştirildi ve iki kızıl ötesi kamera ile yürüme sırasında vücut kütle merkezi dikey yer değişimini belirlemek için kayıt yapıldı. Sonuç: Kol salınımının dengeyi sağlamada yardımcı olduğu, ancak, her iki kol salınımının kısıtlandığı durumlarda biyomekanik sistemlerin bu değişikliği kompanse edemediği için vücut kütle merkezi dikey yer değişimini ve yürümenin oksijen maliyetini artırdığı kanısındayız. Denge sorunu yaşayan bireylerde günlük kazaların önlemesi konusunda bulgularımızın yardımcı olabileceğini düşünmekteyiz.Anahtar sözcükler: Denge; yürüme; oksijen tüketimi; hız; üst ekstremite. ABSTRACTObjectives: This study aims to investigate the effects of arm swing restrain on preferred walking speed, amount of oxygen spent during walking and vertical displacement of the center of mass. Materials and methods:Between February 2011 and April 2011, a total of 52 healthy male volunteers, in the age range of 18 to 30, participated in the study and five different walking models were used. Individuals' preferred walking speeds on the ground were determined for each model. Their oxygen expenditures were recorded while individuals walked on the treadmill at this speed for seven minutes. We placed a marker on the first sacral vertebrae and used two infrared cameras to determine the changes in vertical displacement of the center of mass during walking. Results:We found a significant difference (F(3.734, 204) = 5.606, p<0.05) between normal (0.158±0.021 mL/kg/m) and at side restraint (0.166±022 mL/kg/m) and at front restraint (0.166±023 mL/kg/m) models in oxygen cost. We also found a significant difference (F(3.461, 204) = 5.144, p<0.05) between normal (3.81±0.94 cm) and at side restraint (4.36±1.05 cm) and at front restraint (4.25±0.93 cm) models in terms of vertical displacement of the center of mass. Preferred walking speed in the normal model (5.06±0.62 km/hr) was significantly higher (F(3.387, 204) = 10.433, p<0.05) than other models (at right restraint; 4.93±0.65 km/hr, at left restraint; 4.92±0.62 km/hr, at side restraint; 4.88±0.61 km/hr, and at front restraint; 4.88±0.56 km/hr). Conclusion:We are of the opinion that arm swing helps providing balance but in the situation of both arm restrain, since biomechanical systems cannot compensate this modification,...

show abstract

Section: Gereç Ve Yöntemlerunclassified

Effect of upper extremity swing restrain on walking energy consumption and balance

Erdoğan¹

2016

Turk J Phys Med Rehab

View full text Add to dashboard Cite

show abstract

“…Wearable inertial measurement units (IMUs) have been used for measuring human motion especially walking, running and chair standing [1][2][3]. In addition, IMUs were also utilized in calculating energy expenditure with a motion classification algorithm [4,5].…”

Section: Introductionmentioning

confidence: 99%

Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors

Kaneda

Ohgi

McKean

et al. 2018

The 12th Conference of the International Sports Engineering Association

Self Cite

View full text Add to dashboard Cite

Abstract:This study classified motions of typical daily activities in both environments using inertial sensors attached at the chest and thigh to determine the optimal site to attach the sensors. Walking, chair standing and sitting, and step climbing were conducted both in water and on land. A mean, variance and skewness for acceleration data was calculated. A Neural Network and Decision Tree algorithm was applied for classifying each motion in both environments. In total, 126 and 144 samples of thigh and chest data sets were obtained for analysis in each condition. For the chest data, the algorithm correctly classified 80% of the water-based activities, and 90% of the land-based. Whilst the thigh sensor correctly classified 97% of water-based and 100% of land-based activities. The inertial sensor placed on the thigh provided the most appropriate protocol for classifying motions for land-based and water-based typical daily life activities.

show abstract

“…Furthermore, these sensors offer the advantages of collecting multiple consecutive gait cycles and eliminate the issue of targeting. Numerous authors have already used MEMS to detect FS in a variety of conditions [8,[14][15][16][17][18][19][20]. Nevertheless, just one study was found which investigated the accuracy of MEMS for detecting FS during running by comparing those data to a synchronized force plate signal [21].…”

Section: Introductionmentioning

confidence: 99%

“…Authors found an average difference of −2 ms (95% CI: −16 to 12 ms). Further studies compared stride and stance duration during running by using inertial sensors, however they did not mention the accuracy for determining FS [19,22].…”

Section: Introductionmentioning

confidence: 99%

Which Method Detects Foot Strike in Rearfoot and Forefoot Runners Accurately when Using an Inertial Measurement Unit?

2017

View full text Add to dashboard Cite

Accelerometers and gyroscopes are used to detect foot strike (FS), i.e., the moment when the foot first touches the ground. However, it is unclear whether different conditions (footwear hardness or foot strike pattern) influence the accuracy and precision of different FS detection methods when using such micro-electromechanical sensors (MEMS). This study compared the accuracy of four published MEMS-based FS detection methods with each other and the gold standard (force plate) to establish the most accurate method with regard to different foot strike patterns and footwear conditions. Twenty-three recreational runners (12 rearfoot and 11 forefoot strikers) ran on a 15-m indoor track at their individual running speed in three footwear conditions (low to high hardness). MEMS and a force plate were sampled at a rate of 3750 Hz. Individual accuracy and precision of FS detection methods were found which were dependent on running styles and footwear conditions. Most of the methods were characterized by a delay which generally increased from rearfoot to forefoot strike pattern and from high to low midsole hardness. It can be concluded that only one of the four methods can accurately determine FS in a variety of conditions.

show abstract

The use of a single inertial sensor to identify stride, step, and stance durations of running gait

Cited by 125 publications

References 20 publications

Effect of upper extremity swing restrain on walking energy consumption and balance

Effect of upper extremity swing restrain on walking energy consumption and balance

Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors

Which Method Detects Foot Strike in Rearfoot and Forefoot Runners Accurately when Using an Inertial Measurement Unit?

Contact Info

Product

Resources

About