Minimally invasive therapy and personalized treatment is important in future medical and healthcare procedure. Thence, advanced surgical system developed with robot technology has recently become the main feature of minimal invasive therapy performs. The procedure with surgical robot should be planned and executed based on the mechanical models, such as kinetic model of surgeon and internal dynamic model of patient organ/tissue. The model needs to be optimized to personalize and actual characteristics of patient and surgeon, to realize the accurate performance with surgical robot system. For example, material mechanics modeling is used to analyze and simulate the deformation of soft tissue. These model is used to navigate the needle to reach the target in optimal trajectory in needle insertion supporting system. Moreover, thermal mechanics modeling is employed for calculating the energy transfer in thermal therapy, which includes not only heat transfer mechanism, but also fluid mechanism to consider effect of heat absorption from blood vessels. In the future, coupled modeling including four mechanical dynamics（material mechanics, mechanical dynamics, thermal dynamics and fluid dynamics）is considerable. For nursing not only without pain but also itch and fear is the main features. It means that Research target is from qualitative to quantitative evaluation.

While Japanese population has been turned to decline around 2010, the increase in the elderly population is proceeding rapidly and the home care elderly are increasing by induction of policy. Trauma due to the falls in elderly in hospitals is the biggest problem in the medical safety, nurses in all medical institutions have been struggling effort day and night in order to reduce the damage. Future increases recuperation life elderly people in places other than medical institutions, prevention of the falls in elderly also become indispensable in the home or facility not only medical institution. Therefore from the barrier-free design that removes the barrier from the society of healthy people, we should change the concept of our society to the universal design for all people regardless of gender, age and disability. The point of view of the nursing science and engineering is essential when the prevention measures of nurses accumulated as empirical knowledge are utilized for the process of universal design. Development of nursing science and engineering is expected greatly to the resolution of the social problems that arise in an era of declining birthrate and aging population.

Oxidative stress is an established risk factor for several dermatological diseases in obese skin. We previously reported that elevated mRNA expression of an antioxidant enzyme gene, heme oxygenase 1（HMOX1）, in the follicular cells of body hair was associated with dermal structural changes in obese subjects. Although this method enables non-invasive assessment of oxidative stress in the skin, it is necessary to evaluate the expression of antioxidant enzymes under different conditions. The purpose of this study was to measure the expression of antioxidant enzymes in skin with acutely induced and chronic elevation of oxidative stress. Using the dorsal skin of untreated wild-type mice（control）, UV-irradiated wild-type mice, and obese（ob/ob）mice, mRNA and protein levels of four antioxidant enzymes, superoxide dismutase 1（SOD1）, catalase（CAT）, glutathione peroxidase（GPX）, and HMOX1, were evaluated. SOD1 was elevated in both UV-irradiated and obese mice, while CAT, GPX, and HMOX1 were only increased in obese mice. These differences were more prominent at the mRNA level. Thus, analysis of mRNA expression of antioxidant enzymes（SOD1, CAT, GPX, and HMOX1）skin oxidative stress.

The need for home monitoring systems for the elderly is growing because the number of the elderly living alone is on the rise. We propose an anomaly detection method in a home monitoring system for the elderly that takes a time-series of the subject’s activity level data captured by simplistic motion sensors as its input. First, the activity level data were classified into four types based on the trend and volatility of the data of 144 elderly people. Second, we then applied financial models that are suitable for each type of data in order to detect anomalies. For example, an underlying asset pricing model was applied to the data that exhibited trend-presence and constant-volatility. Here an anomaly was defined to be a datum that lies outside the 95% confidence interval for the given model. Finally, the feasibility of this method was evaluated by applying it to the data from a nation project on the activity of elderly people.

We focused on viscoelasticity of soft biological tissue as a quantitative index to design a wearable tremor suppressing robot frame with high suppression capability. We propose a design method for the robot frame that select parts having high viscosity in the forearm as positions where the robot frame is attached, because high viscosity have the potential to suppress tremor. In this research, we use phase shift between displacement and reaction force from the soft biological tissue as an indicator of viscoelasticity based on forced oscillation model of soft biological tissue by tremor, and investigate the viscoelasticity distribution on a palm side of the forearm in three younger subjects. Additionally, we observed the correlation of the distribution between the subjects and the anatomical features with an ultrasonograph. As a result, proximal part from the elbow with thick aponeurosis had resembled distribution and showed minimum phase shift of 2.03［°］, therefore this part is not suitable for suppressing. Distal part from the elbow showed maximum phase shift of 10.9［°］, therefore this part is suitable for suppressing, but showed individual distribution. We will develop the individualized design method of the robot frame using these results.

The purpose of this study was to examine the relationship between stress urinary incontinence and pelvic floor muscle function in women using an extracorporeal biofeedback device for training. The maximal contractile power and duration of pelvic floor muscle contraction were evaluated in 147 women using this device with their clothes on. In addition, the symptoms of urinary incontinence, body composition and demographic data were investigated. A multiple logistic regression analysis was used to calculate odds ratio of individual parameters for stress urinary incontinence. As a result, childbirth experience（odds ratio：2.694, 95% confidence interval：1.058-6.859）and the duration of pelvic floor muscle contraction（0.861, 0.777-0.954）have been extracted as significant parameters. Our results suggested that slow twitch muscle fibers of pelvic floor muscle, which might contribute the duration of contraction, played an important role to prevent stress urinary incontinence.