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Table Of Integrals Series And Products

Three-dimensional (3D) information plays an important part in medical and veterinary education Appreciating complex 3D spatial relationships requires a strong foundational understanding of anatomy and mental 3D visualization skills Novel learning resources have been introduced to anatomy training to achieve this Objective evaluation of their comparative efficacies remains scarce in the literature This study developed and evaluated the use of a physical model in demonstrating the complex spatial relationships of the equine foot It was hypothesized that the newly developed physical model would be more effective for students to learn magnetic resonance imaging (MRI) anatomy of the foot than textbooks or computer-based 3D models Third year veterinary medicine students were randomly assigned to one of three teaching aid groups (physical model; textbooks; 3D computer model) The comparative efficacies of the three teaching aids were assessed through students' abilities to identify anatomical structures on MR images Overall mean MRI assessment scores were significantly higher in students utilizing the physical model (8639%) compared with students using textbooks (6261%) and the 3D computer model (6368%) (P < 0001), with no significant difference between the textbook and 3D computer model groups (P = 0685) Student feedback was also more positive in the physical model group compared with both the textbook and 3D computer model groups Our results suggest that physical models may hold a significant advantage over alternative learning resources in enhancing visuospatial and 3D understanding of complex anatomical architecture, and that 3D computer models have significant limitations with regards to 3D learning Anat Sci Educ 6: 216–224 © 2013 American Association of Anatomists

"Let's get physical": advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy.

An accurate extraction of physiological and physical signals from human skin is crucial for health monitoring, disease prevention, and treatment. Recent advances in wearable bioelectronics directly embedded to the epidermal surface are a promising solution for future epidermal sensing. However, the existing wearable bioelectronics are susceptible to motion artifacts as they lack proper adhesion and conformal interfacing with the skin during motion. Here, we present ultra-conformal, customizable, and deformable drawn-on-skin electronics, which is robust to motion due to strong adhesion and ultra-conformality of the electronic inks drawn directly on skin. Electronic inks, including conductors, semiconductors, and dielectrics, are drawn on-demand in a freeform manner to develop devices, such as transistors, strain sensors, temperature sensors, heaters, skin hydration sensors, and electrophysiological sensors. Electrophysiological signal monitoring during motion shows drawn-on-skin electronics’ immunity to motion artifacts. Additionally, electrical stimulation based on drawn-on-skin electronics demonstrates accelerated healing of skin wounds. Designing efficient wearable bioelectronics for health monitoring, disease prevention, and treatment, remains a challenge. Here, the authors demonstrate an ultra-conformal, customizable and deformable drawn-on-skin electronics which is robust to motion artifacts and resistant to physical damage.

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Ultra-conformal drawn-on-skin electronics for multifunctional motion artifact-free sensing and point-of-care treatment.

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Physical Medicine and Rehabilitation Board Review

Smarter ecosystems for smarter cities? A review of trends, technologies, and turning points for smart urban forestry

This research investigates real time tilting measurement using Micro-Electro-Mechanical-system (MEMS) based inertial measurement unit (IMU). Accelerometers suffer from errors caused by external accelerations that sums to gravity and make accelerometers based tilting sensing unreliable and inaccurate. Gyroscopes can offset such drawbacks but have data drifting problems. This paper presents a study on complementary and Kalman filter for tilting measurement using MEMS based IMU. The complementary filter algorithm uses low-pass filter and high-pass filter to deal with the data from accelerometer and gyroscope while Kalman filter takes the tilting angle and gyroscope bias as system states, combining the angle derived from the accelerometer to estimate the tilting angle. The study carried out both static and dynamic experiments. The results showed that both Complementary and Kalman filter were less sensitive to variations and almost no signal coupling phenomenon and able to obtain smooth and accurate results.

MEMS based IMU for tilting measurement: Comparison of complementary and kalman filter based data fusion

Electromyographic (EMG) signals have been widely employed as a control signal in rehabilitation and a means of diagnosis in health care. Signal amplification and filtering is the first step in surface EMG signal processing and application systems. The characteristics of the amplifiers and filters determine the quality of EMG signals. Up until now, searching for better amplification and filtering circuit design that is able to accurately capture the features of surface EMG signals for the intended applications is still a challenging. With the fast development in computer sciences and technologies, EMG signals are expected to be used and integrated within small or even tiny intelligent, automatic, robotic, and mechatronics systems. This research focused on small size amplification and filtering circuit design for processing surface EMG signals from an upper limb and aimed to fix the amplifiers and filters inside a robotic hand with limited space to command and control the robot hand movement. The research made a study on the commonly used methodologies for EMG signal processing and circuitry design and proposed a circuit design for EMG signal amplification and filtering. High-pass filters including secondorder and fourth-order with the suppression to low frequency noises are studied. The analysis, verification and experiment showed that a second-order high-pass filter can adequately suppress the low frequency noises. The proposed amplification and filtering circuit design is able to effectively clean the noises and collect the useful surface EMG signals from an upper limb. The experiment also clearly revealed that power line interference needs to be carefully handled for higher signalnoise-ratio (SNR) as a notch-filter might cause the loss of useful signal components. Commercial computer software such as LabView and Matlab were used for data acquisition software development and data analysis. General Terms EMG data acquisition, Bio-signal processing, Bio-informatics

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Surface EMG Signal Amplification and Filtering

This paper presents a survey of recent developments using Doppler radar sensor in searching and locating an alive person under debris or behind a wall. Locating a human and detecting the vital signs such as breathing rate and heartbeat using a microwave sensor is a non-invasive technique. Recently, many hardware structures, signal processing approaches, and integrated systems have been introduced by researchers in this field. The purpose is to enhance the accuracy of vital signs’ detection and location detection and reduce energy consumption. This work concentrates on the representative research on sensing systems that can find alive people under rubble when an earthquake or other disasters occur. In this paper, various operating principles and system architectures for finding survivors using the microwave radar sensors are reviewed. A comparison between these systems is also discussed.

/pdf/review-microwave-radar-sensing-systems-for-search-and-rescue-4pz3jzinio.pdf

Review-Microwave Radar Sensing Systems for Search and Rescue Purposes.

In the field of human health, collecting real-time data is vital. A system that can remotely monitor heart rate and body temperature is presented in this paper. The data was collected from a group of volunteers using the sensors developed by the research team to test the system. The Arduino micro-controller is programmed to transmit the data securely to a remote PC station using an XBee wireless network for display and storage. Power consumption by the system was minimized by activating the sensors when a command from a remote PC is received.

Wireless network for health monitoring: heart rate and temperature sensor

Health monitoring is a challenging research area. This research aims to develop a cost effective and reliable wireless sensor for collecting real-time health vital signs such as heart rate and body temperature. The literature review has led to the use of various micro-controllers for such applications. This paper presents a wireless sensor developed based on the ATmega micro-controller and XBee protocol. The sensor is capable of storing the data to an expandable memory card and/or transferring them to a remote computer. The developed sensor is low-cost, lightweight and compact. The final system has made a significant move towards these goals.

Liqiong Tang

Papers

MEMS based IMU for tilting measurement: Comparison of complementary and kalman filter based data fusion

Surface EMG Signal Amplification and Filtering

Review-Microwave Radar Sensing Systems for Search and Rescue Purposes.

Wireless network for health monitoring: heart rate and temperature sensor

ATmega and XBee-based wireless sensing