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BSN '11: Proceedings of the 2011 International Conference on Body Sensor Networks
2011 Proceeding
Publisher:
  • IEEE Computer Society
  • 1730 Massachusetts Ave., NW Washington, DC
  • United States
Conference:
May 23 - 25, 2011
ISBN:
978-0-7695-4431-1
Published:
23 May 2011

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GeM-REM: Generative Model-Driven Resource Efficient ECG Monitoring in Body Sensor Networks

With recent advances in smart phones and wearable sensors, Body Sensor Networks (BSNs) have been proposed for use in continuous, remote electrocardiogram (ECG) monitoring. In such systems, sampling the ECG at clinically recommended rates (250 Hz) and ...

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An Assistive Body Sensor Network Glove for Speech- and Hearing-Impaired Disabilities

This paper presents a hand-gesture based interface for facilitating communication among speech- and hearing-impaired disabilities. In the system, a wireless sensor glove equipped with five flex sensors and a 3D accelerometer is used as the input device. ...

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Human Back Movement Analysis Using BSN

Human back movement estimation is clinically important for assessing patients with back pain. Most current techniques are limited to simple spinal movement angles without consideration of surrounding muscle movement and backplane rotation and torsion. ...

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Power Aware Wireless Data Collection for BSN Data Repositories

Wearable sensor nodes are highly constrained in terms of size, and, as a result, battery size and capacity. During a real time data collection, sensor nodes can communicate data continuously, however, this may reduce the system lifetime. Hence, we ...

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Low Power Tiered Wake-up Module for Lightweight Embedded Systems Using Cross Correlation

A major objective in design of wearable and light-weight embedded systems is reducing the power consumption. This leads to reduction of the battery size and enhances the wear ability of the system. In this paper, we propose an ultra low power tiered ...

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Signal Regeneration and Function Rebuilding Using Microelectronic Neural Bridge between Two Far-Separated Nervous Systems

This paper reviews at first the features of the present information techniques including the telephone, the television, the computer, and the body sensor network briefly. Then, the concept and the construction of microelectronic neural bridges (MENB) ...

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Observing Recovery from Knee-Replacement Surgery by Using Wearable Sensors
Pages 29–34

A progressive improvement in gait following knee arthroplasty surgery can be observed during walking and transitional activities such as sitting/standing. Accurate assessment of such changes traditionally requires the use of a gait lab, which is often ...

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Development of a Wearable Sensor System for Measuring Body Joint Flexion

This paper presents a novel approach for measuring and monitoring human body joint angles using wearable sensors. This type of monitoring is beneficial for therapists and physicians as it allows them to assess patients' activities remotely. In our ...

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Accurate Activity Recognition Using a Mobile Phone Regardless of Device Orientation and Location

This paper investigates two major issues in using a tri-axial accelerometer-embedded mobile phone for continuous activity monitoring, i.e. the difference in orientations and locations of the device. Two experiments with a total of ten test subjects ...

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A Multi-technology Approach to Identifying the Reasons for Lateral Drift in Professional and Recreational Darts

This work performs an extensive charterisation of precision targeted throwing in professional and recreational darts. The goal is to identify the contributing factors for lateral drift or throwing inaccuracy in the horizontal plane. A multi technology ...

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Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports

Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this paper, we propose using a combination of on-chip detection of action ...

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Methods to Characterize Sensors for Capturing Body Sounds

Ambulatory monitoring of body sounds is still hindered today by a lack of systematic optimization of sensor, sensor packaging and mounting conditions. This paper presents generic, objective and application-independent evaluation methods that can be used ...

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Robust Hierarchical System for Classification of Complex Human Mobility Characteristics in the Presence of Neurological Disorders

Continued rapid progress in cost reduction, energy efficiency, and new data transport architectures for body worn sensors enables remote monitoring of patient activity with critical focus and impact on successful outcomes in healthcare. Monitoring ...

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Extracting Spatio-Temporal Information from Inertial Body Sensor Networks for Gait Speed Estimation

The fidelity of many inertial Body Sensor Network (BSN) applications depends on accurate spatio-temporal information retrieved from body-worn devices. However, there are many challenges caused by inherent sensor errors in inertial BSNs and the ...

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Learning a Policy for Coordinated Sampling in Body Sensor Networks

This paper describes a method for learning coordination policies in body sensor networks. The learning of a compact coordination policy is important for implementing the policy in sensor nodes with limited memory. We present a novel algorithm, ...

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A Low Power Wake-Up Circuitry Based on Dynamic Time Warping for Body Sensor Networks

Enhancing the wear ability and reducing the form factor often are among the major objectives in design of wearable platforms. Power optimization techniques will significantly reduce the form factor and/or will prolong the time intervals between ...

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Radio Channel Characterisation and OFDM-based Ultra Wideband System Modelling for Body-Centric Wireless Networks

The paper aims to investigate the optimum locations for ultra wideband (UWB) nodes placement on the body. The performance of UWB radio propagation links is experimentally investigated by considering communications between body-worn base units and off-...

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Accelerometer-Based Respiratory Measurement During Speech

Accelerometer-based respiratory monitoring is a recent area of research based on the observation of small rotations at the chest wall due to breathing. Previous studies of this technique have begun to address some sources of interference e.g. subject ...

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WBSN for the Assessment of the Hippotherapy: A Case Study

Hippo therapy, also known as equestrian rehabilitation, makes use of the physical interactions between the riding patient and the horse movements, by inducing the patient's trunk to became receptive and responsive to solicitations and consequently ...

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Properties of Dry and Non-contact Electrodes for Wearable Physiological Sensors
Pages 107–112

Dry and non-contact electrodes are an important part of building user-friendly wearable body sensor networks for physiological (ECG, EEG, EMG) recording. This paper presents the theory and characterization of several inexpensive and non-irritating ...

Article
Wireless Fetal Monitoring Device with Provisions for Multiple Births

Cardiotocography is used to monitor the effect of contractions on fetal heart rate (FHR) and is used in the final trimester of pregnancy to detect fetal distress. This simple and efficient (patent-pending) architecture for Cardiotocography employs the ...

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A Real-Time Cardiac Arrhythmia Classification System with Wearable Electrocardiogram

Long term continuous monitoring of electrocardiogram (ECG) in a free living environment provides valuable information for prevention on the heart attack and other high risk diseases. A design of a real-time wearable ECG monitoring system with cardiac ...

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Detecting and Preventing Forward Head Posture with Wireless Inertial Body Sensor Networks

Forward Head Posture (FHP) is a common musculoskeletal disorder correlated with neck pain that affects a large percentage of the population. Research has shown that providing feedback for posture auto-correction can help combat FHP and reduce the ...

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DietCam: Regular Shape Food Recognition with a Camera Phone

The purpose of this paper is to develop an automatic camera phone based multi-view food classifier as part of a food intake assessment system. Food intake assessment is important for obesity management, which has shown significant impacts in public ...

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