生物医学工程
生物医学工程，又称生物工程、生物医学或BME，与生物工程密切相关；其主要特点是运用工程学和应用科学的知识和技术解决生物学和医学领域的科学问题，充分研究生命系统及其行为，以及开发相关的生物医学系统和设备，最终帮助患者得到更好的照料、提高生活质量，是一个将生物学和工程学相结合的多学科STEM领域。 Enago在生物医学工程领域具有深厚的专业知识储备，拥有生物医学工程和相关学科，如生物仪器、生物材料、生物力学、生物信号处理、生物技术等相关学科的学科专业翻译师、双语校对以及英语母语学科专家编辑，且已翻译了大量此领
尽管持续进行预防性护理等保健活动可以取得积极效果，但每天进行同样的活动可能会导致精神紧张。因此，研究人员通过引入游戏来维持用户的动力，鼓励他们使用运动系统，让他们自愿进行锻炼。微软开发的Kinect系统能够识别人的姿势和关节的三维坐标。研究人员对利用Kinect测量手和脚运动系统进行研发，以达成康复效果。因为Kinect可以检测现实世界中的人体姿势，所以它也可以用来识别对抗性运动。最近，几种基于Kinect的商业康复系统已被开发出来。我们之前设计开发了一个使用深度图像传感器的原型下肢座椅运动支持系统，并评估了性能和可用性。系统根据骨骼的三维位置数据和关节角度，以及从Kinect传感器获得的RGB数据对运动进行识别和评估。在本研究中，我们设计、实施，并评估了一个使用深度传感器支持对抗性运动的系统。该系统使用从深度传感器获得的用户关节骨骼数据来识别并评估用户的运动，以提供实时反馈。此外，它还使用视听显示器向用户解释运动过程，并实时播放视频以鼓励运动。它还具有节奏游戏功能，可以让用户随着音乐运动。该系统包括四种运动类型：上肢/下肢对抗性运动、上肢左右对抗性运动、石头/剪子/布的双臂和双腿运动和两倍/三倍运动。
学科专家翻译：精于您论文领域的翻译师翻译，用语精准
Although positive effects are achieved by continuously performing preventive care and other health activities, performing the same activities every day can be mental strain. Therefore, research has been performed on maintaining the motivation and encouraging them to use exercise systems by incorporating games where the users perform activities. On the other hand, the Kinect system developed by Microsoft is able to recognize people’s postures and the three-dimensional coordinates of their joints, and work has been done to research and develop systems that use a Kinect to measure hand and foot movements for rehabilitation purposes. Since the Kinect can detect real-world human postures, it can also be used to recognize antagonistic exercises. Recently, several Kinect-based commercial rehabilitation systems have been developed. Formerly, we designed and developed a prototype lower-limb chair exercise support system using a depth image sensor and evaluated the performance and usability. The system recognizes and evaluates exercises based on 3D position data and joint angles for skeleton and RGB data obtained from the Kinect sensor. In this study, we designed, implemented and evaluated a system that supports antagonistic exercise using a depth sensor. It recognizes exercises by using skeleton data about the user’s joints acquired from a depth sensor, and evaluates the user’s exercises to provide real-time feedback. This system uses an audiovisual display to explain the exercise procedures to the user, and displays user’s real time video to encourage the user to perform the exercises. It also has a rhythm game function whereby the user can exercise in time with music. This system is provided with four types of exercise: upper/lower limb antagonistic movement, upper limb left/right antagonistic movement, rock/paper/scissors using both arms and both legs, and duple/triple time exercises.
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Continuously performing preventive care and other health care activities can have a positive impact; however performing the same activities daily can also result in mental strain. Therefore, research have been conducted on ways to consistently motivate users and encourage them to use exercise systems by incorporating games in which the users can perform voluntary activities. The Kinect system developed by Microsoft can recognize a person’s posture and the three-dimensional coordinates of their joints. Research and development of systems that use Kinect to measure hand and foot movements for rehabilitative purposes have been conducted. Kinect can detect real-world human postures therefore; it can also be used to recognize antagonistic exercises. Several Kinect-based commercial rehabilitation systems have recently been developed. Previously, we designed and developed a prototype lower-limb chair exercise support system that uses a depth sensor and evaluated its performance and usability. The system recognizes and evaluates exercises based on 3D position data and joint angles for skeletal and red-green-blue (RGB) data obtained from the Kinect sensor. In the present study, we designed, implemented, and evaluated a system that supports antagonistic exercises using a depth sensor. The system recognizes exercises by using skeletal data on the user’s joints acquired from a depth sensor, and evaluates the user’s exercises to provide real-time feedback. In addition, it uses an audiovisual display to explain the exercise procedures to the user and plays their real-time video to encourage users to exercise. It also has a rhythm game function whereby the user can exercise in-sync with music. Four types of exercises are included with this system: upper/lower limb antagonistic movement, upper limb left/right antagonistic movement, rock/paper/scissors using both arms and both legs, and duple/triple time exercises.
