scholarly journals A dense pressure sensitive bedsheet design for unobtrusive sleep posture monitoring

Author(s):  
J. J. Liu ◽  
Wenyao Xu ◽  
Ming-Chun Huang ◽  
N. Alshurafa ◽  
M. Sarrafzadeh ◽  
...  
Author(s):  
Po-Yuan Jeng ◽  
Li-Chun Wang ◽  
Chaur-Jong Hu ◽  
Dean Wu

Sleep postures monitoring systems in the hospital aim at transforming sensing signals into quantitative data to characterize the sleep behaviors of the patient. However, a home-care sleep posture monitoring system needs to be user friendly. In this paper, we present iSleePost - a user-friendly home-care intelligent sleep posture monitoring system. We address the labor-intensive labeling issue of traditional machine learning approaches in the training phase. Our proposed mobile health (mHealth) system leverages the communications and computation capabilities of mobile phones for provisioning a continuous sleep posture monitoring service. Our experiments show that iSleePost can achieve 90 percent accuracy in recognizing sleep postures. More importantly, iSleePost demonstrates that an easily-wear wrist sensor can accurately quantify sleep postures.


2014 ◽  
Vol 10 ◽  
pp. 34-50 ◽  
Author(s):  
Jason J. Liu ◽  
Wenyao Xu ◽  
Ming-Chun Huang ◽  
Nabil Alshurafa ◽  
Majid Sarrafzadeh ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 258
Author(s):  
Po-Yuan Jeng ◽  
Li-Chun Wang ◽  
Chaur-Jong Hu ◽  
Dean Wu

In the hospital, a sleep postures monitoring system is usually adopted to transform sensing signals into sleep behaviors. However, a home-care sleep posture monitoring system needs to be user friendly. In this paper, we present iSleePost—a user-friendly home-care intelligent sleep posture monitoring system. We address the labor-intensive labeling issue of traditional machine learning approaches in the training phase. Our proposed mobile health (mHealth) system leverages the communications and computation capabilities of mobile phones for provisioning a continuous sleep posture monitoring service. Our experiments show that iSleePost can achieve up to 85 percent accuracy in recognizing sleep postures. More importantly, iSleePost demonstrates that an easy-to-wear wrist sensor can accurately quantify sleep postures after our designed training phase. It is our hope that the design concept of iSleePost can shed some lights on quantifying human sleep postures in the future.


2000 ◽  
Vol 10 (PR9) ◽  
pp. Pr9-185-Pr9-190
Author(s):  
K. Ogawa ◽  
T. Yokoyama

1993 ◽  
Vol 06 (02) ◽  
pp. 100-104 ◽  
Author(s):  
D. M. Pickles ◽  
C. R. Bellenger

SummaryTotal removal of a knee joint meniscus is followed by osteoarthritis in many mammalian species. Altered load-bearing has been observed in the human knee following meniscectomy but less is known about biochemical effects of meniscectomy in other species. Using pressure sensitive paper in sheep knee (stifle) joints it was found that, for comparable loads, the load-bearing area on the medial tibial condyle was significantly reduced following medial meniscectomy. Also, for loads of between 50 N and 500 N applied to the whole joint, the slope of the regression of contact area against load was much smaller. Following medial meniscectomy, the ability to increase contact area as load increased was markedly reduced.The load bearing area on the medial tibial condyle was reduced following meniscectomy.


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