A new washable low-cost garment for everyday fall detection

Niazmand, K.; Jehle, Claudius; D’Angelo, Lorenzo T.; Lueth, Tim C.

doi:10.1109/iembs.2010.5627298

Cited by 23 publications

(12 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This would reveal a possible direct relation between the features and fall risk. In case this relation was confirmed, the features could be implemented in devices capable of detecting falls in free living [ 44 – 46 ]. Simultaneous measure of the features and of fall history would allow a quantification of the predictive power of the features for fall risk.…”

Section: Discussionmentioning

confidence: 99%

Body Acceleration as Indicator for Walking Economy in an Ageing Population

Valenti

Bonomi

2015

PLoS ONE

View full text Add to dashboard Cite

BackgroundIn adults, walking economy declines with increasing age and negatively influences walking speed. This study aims at detecting determinants of walking economy from body acceleration during walking in an ageing population.Methods35 healthy elderly (18 males, age 51 to 83 y, BMI 25.5±2.4 kg/m2) walked on a treadmill. Energy expenditure was measured with indirect calorimetry while body acceleration was sampled at 60Hz with a tri-axial accelerometer (GT3X+, ActiGraph), positioned on the lower back. Walking economy was measured as lowest energy needed to displace one kilogram of body mass for one meter while walking (WCostmin, J/m/kg). Gait features were extracted from the acceleration signal and included in a model to predict WCostmin.ResultsOn average WCostmin was 2.43±0.42 J/m/kg and correlated significantly with gait rate (r2 = 0.21, p<0.01) and regularity along the frontal (anteroposterior) and lateral (mediolateral) axes (r2 = 0.16, p<0.05 and r2 = 0.12, p<0.05 respectively). Together, the three variables explained 46% of the inter-subject variance (p<0.001) with a standard error of estimate of 0.30 J/m/kg. WCostmin and regularity along the frontal and lateral axes were related to age (WCostmin: r2 = 0.44, p<0.001; regularity: r2 = 0.16, p<0.05 and r2 = 0.12, p<0.05 respectively frontal and lateral).ConclusionsThe age associated decline in walking economy is induced by the adoption of an increased gait rate and by irregular body acceleration in the horizontal plane.

show abstract

Section: Discussionmentioning

confidence: 99%

Body Acceleration as Indicator for Walking Economy in an Ageing Population

Valenti

Bonomi

2015

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Using accelerometers to detect specific movements and activities is a well-known approach [11]. The sensors are either fixed with bandages to the limbs or they are integrated into clothing [12]. In [13] we describe the function and set-up of the MiMed-Pants, a textile integrated measurement device, which identifies clearly movements like walking, sitting and standing by recorded sensor data.…”

Section: Task and Approachmentioning

confidence: 99%

Freezing of Gait detection in Parkinson's disease using accelerometer based smart clothes

Niazmand

Tonn

Zhao

et al. 2011

2011 IEEE Biomedical Circuits and Systems Conference (BioCAS)

View full text Add to dashboard Cite

Parkinson's disease (PD) is a degenerative neurological disorder. Patients suffer from different movement disturbances. Amongst others, freezing of gait (FOG) is a common and disabling feature. A new method for FOG detection using a garment with integrated accelerometers, the MiMed-Pants, is presented and evaluated. MiMed-Pants are loose fitting washable pants for measuring movements and were previously developed. The accelerations of shanks and belt of 6 patients were recorded while walking on two standardized courses. The occurrence of FOG were detected and documented both by the new method and by a physician. Those recordings were then compared afterwards to determine the new method's sensitivity and specificity. With this wearable measurement device FOG could be detected without the distracting effects of an extensive measurement installation.

show abstract

“…In the wearable field, accelerometers and vibration and force sensors are used as smart sensors applied in tracksuits [177,178] and gloves [179]. They are also applied to Parkinson’s and enable monitoring of the patient’s activities in a more natural way.…”

Section: Biomedical Applicationsmentioning

confidence: 99%

Sensor Fusion and Smart Sensor in Sports and Biomedical Applications

Mendes

Vieira

Pires

et al. 2016

Sensors

View full text Add to dashboard Cite

The following work presents an overview of smart sensors and sensor fusion targeted at biomedical applications and sports areas. In this work, the integration of these areas is demonstrated, promoting a reflection about techniques and applications to collect, quantify and qualify some physical variables associated with the human body. These techniques are presented in various biomedical and sports applications, which cover areas related to diagnostics, rehabilitation, physical monitoring, and the development of performance in athletes, among others. Although some applications are described in only one of two fields of study (biomedicine and sports), it is very likely that the same application fits in both, with small peculiarities or adaptations. To illustrate the contemporaneity of applications, an analysis of specialized papers published in the last six years has been made. In this context, the main characteristic of this review is to present the largest quantity of relevant examples of sensor fusion and smart sensors focusing on their utilization and proposals, without deeply addressing one specific system or technique, to the detriment of the others.

show abstract

A new washable low-cost garment for everyday fall detection

Cited by 23 publications

References 16 publications

Body Acceleration as Indicator for Walking Economy in an Ageing Population

Body Acceleration as Indicator for Walking Economy in an Ageing Population

Freezing of Gait detection in Parkinson's disease using accelerometer based smart clothes

Sensor Fusion and Smart Sensor in Sports and Biomedical Applications

Contact Info

Product

Resources

About