A Comparison of Algorithms Estimating Distance Covered on Foot by Soldiers Over Graded Terrain
Veenstra, Bertil Jurgen ; Delves, Simon ; Buller, Mark ; Wyss, Thomas ; Roos, Lilian ; Beeler, Nadja
Through NATO Panel HFM-260 a collaborative study was established between Switzerland, the Netherlands, the United States of America and the…
A Framework for Probabilistic Segmentation of Continuous Sensor Signals
Kalantarian, Haik ; Sideris, Costas ; Le, Tuan ; King, Christine E. ; Sarrafzadeh, Majid
Computational tools
,
Feature discovery
,
Minimally Invasive Sensors
Among the major challenges in the realization of practical health monitoring systems is the identification of short-duration events from…
A Multimodal Sensor System for Automated Marmoset Behavioral Analysis
Brattain, Laura ; Landman, Rogier of ; Johnson, Kerry A. ; Chwalek, Patrick ; Hyman, Julia Bentley ; Sharma, Jitendra ; jennings, charles ; desimone, robert ; Feng, Guoping ; Quatieri, Thomas
Animal behavior
,
Multi sensor data fusion
,
Feature discovery
The common marmoset is emerging as an important transgenic model for improving the understanding of the underlying neurological basis of…
A Novel Approach to Detect Localized Muscle Fatigue During Isometric Exercises
Fatigue and Injury Risk
,
Health Assessment
The purpose of this study is to develop a localized muscle fatigue detection system to assist patients during isometric exercise. A mobile…
A Sensor Cluster to Monitor Body Kinematics
Paladugu, Pragna ; Hernandez, Alejandra ; Gross, Karlie ; su, yi ; Neseli, Ahmet ; gombatto, sara ; Moon, Kee ; Ozturk, Yusuf
Minimally Invasive Sensors
,
Multi sensor data fusion
,
Health Assessment
Several different factors have been proposed to contribute to the development of chronic low back pain (LBP). Specifically, researchers and…
A Software Assistant for User-Centric Calibration of a Wireless Body Sensor
Hörmann, Timm ; Hesse, Marc ; Adams, Michael ; Rückert, Ulrich
Automated advice and feedback
,
Self management and quality of life
Body sensors have a promising contribution to health promotion in many areas of daily life (telemedicine, corporate health care or…
A Vocal Modulation Model with Application to Predicting Depression Severity
Horwitz-Martin, Rachelle ; Quatieri, Thomas ; Godoy, Elizabeth ; Williamson, James
Feature discovery
,
Depression
Speech provides a potential simple and noninvasive ?on-body? means to identify and monitor neurological diseases. Here we develop a model for…
A Wearable Sensing System for Timing Analysis in Tennis
Büthe, Lars ; Blanke, Ulf ; Capkevics, Haralds ; Troster, Gerhard
Electrotextiles
,
Minimally Invasive Sensors
,
Gait Analysis
Wearables find in sports one of their main applications. In recent years, many wearable devices have been commercially released such as the…
A Wearable Wireless Sensor for Cardiac Monitoring
Khan, Jamal Ahmad ; Pervaiz, Usama ; Akbar, Haroon Ali ; Hasan, Osman
Vigilance
,
Health Assessment
,
Self management and quality of life
This paper presents a low cost, low power and wireless wearable solution for real-time analysis and monitoring of cardiac activity co-related…
An Alternating Controlled Functional Electrical Stimulation Strategy Based on Sample Entropy for Rehabilitation of Lower Extremity Hemiplegia
Bao, Xueliang ; Bi, zhengyang ; Wang, Haipeng ; Zhou, Yuxuan ; Lü, Xiaoying ; Wang, Zhigong
In this study, we present an alternating controlled functional electrical stimulation (FES) strategy for rehabilitation of lower extremity motor…
Battery Runtime Optimization Toolbox for Wearable Biomedical Sensors
Tobola, Andreas ; Leutheuser, Heike ; Schmitz, Björn ; Hofmann, Christian ; Struck, Matthias ; Weigand, Christian ; Eskofier, Bjoern M ; Fischer, Georg
Energy harvesting
,
Electrotextiles
,
Everyday health status
Battery runtime is a critical concern for practical usage of wearable biomedical sensor systems. A long runtime requires an interdisciplinary…
Beat-To-Beat Ambulatory Blood Pressure Estimation Based on Random Forest
He, Rui ; Huang, Zhipei ; Ji, Lianying ; Wu, Jiankang ; Zhang, Zhiqiang
Feature discovery
,
Multi sensor data fusion
Ambulatory blood pressure is critical in predicting some major cardiovascular events; therefore, cuff-less and noninvasive beat-to-beat…
Bed Angle Detection in Hospital Room Using Microsoft Kinect V2
Environmental Exposures Monitoring
,
Minimally Invasive Sensors
,
Health Assessment
This paper will focus on bed angle detection in hospital room automatically using the latest Kinect sensor. The developed system is an ideal…
Bio-Signal Based Emotion Detection Device
Shinde, Nikhil ; George, Kiran
Telemedicine Assessment
,
Parkinsons Disease
,
Mood
Emotion recognition can be used to improve the human-machine interaction. Over the past few years, there has been a lot of research going…
Blind Source Separation and Artefact Cancellation for Single Channel Bioelectrical Signal
Zhang, Zhiqiang ; Mandic, Danilo
Computational tools
,
Multi sensor data fusion
,
Extreme Performance and Limits of Performance
Bioelectrical signal analysis is gaining significant interests from both academics and industries due to its capability for improved diagnosis and…
Brain-Controlled Driving Aid for Electric Wheelchairs
Shinde, Nikhil ; George, Kiran
Self management and quality of life
The Brain-computer interface (BCI) is an engaging field which could find applications in numerous fields like industrial, bio-medical and…
Capacitive Detection of Filling Levels in a Cup
Kreutzer, Joachim Friedrich ; Flaschberger, Jannai ; Hein, Christina Marita ; Lueth, Tim
Hydration Status
,
Everyday health status
,
Automated advice and feedback
This contribution presents a smart cup that uses a capacitive sensor to detect its filling level in order to monitor fluid intake over time….
Capture and Analysis of Biomechanical Signals with Inertial and Magnetic Sensors as Support in Physical Rehabilitation Processes
Callejas-Cuervo, Mauro ; Alvarez, Juan Carlos ; Álvarez Prieto, Diego
Multi sensor data fusion
,
Minimally Invasive Sensors
,
Vigilance
A tool used to capture biomechanical signals from the upper limb is presented here. The methods used for data acquisition, signal fusion and…
Classifying Mental Gestures with In-Ear EEG
Merrill, Nick ; Curran, Max ; Yang, Jong-kai ; Chuang, John
While brain-computer interfaces (BCI) based on electroencephalography (EEG) have improved dramatically over the past five years, their…
Comparison of Three Different Physiological Wristband Sensor Systems and Their Applicability for Resilience and Work Load Monitoring
Binsch, Olaf ; Wabeke, Thymen ; Valk, Pierre
Quality of data
,
Minimally Invasive Sensors
Abstract? Leveraging miniaturized sensor and monitoring technology integrated in easy-to-wear wristband wearables represents a great…
Deep Learning for Human Activity Recognition: A Resource Efficient Implementation on Low-Power Devices
Ravi, Daniele ; Wong, Charence ; Lo, Benny ; Yang, Guang-Zhong
Feature discovery
,
Human Models
,
Multi sensor data fusion
Human Activity Recognition provides valuable contextual information for wellbeing, healthcare, and sport applications. Over the past decades,…
Determining Physiological Significance of Inertial Gait Features in Multiple Sclerosis
Dandu, Sriram Raju ; Engelhard, Matthew ; Goldman, Myla D. ; Lach, John
Gait Analysis
,
Fatigue and Injury Risk
,
Health Assessment
Gait impairment in Multiple Sclerosis (MS) can result from imbalance, physical fatigue, weakness, and other symptoms. Walking speed is the…
Different Regressors for Linear Modelling of ElectroEncephaloGraphic Recordings in Visual and Auditory Tasks
Mugruza Vassallo, Carlos Andrés
Multi sensor data fusion
,
Quality of data
,
Computational tools
The use of hierarchical linear modelling has been increasing in the last 5 years to analyze EEG data. Until now, no clear comparison on linear…
ECG Compression for Mobile Sensor Platforms
Quality of data
,
Health Assessment
,
Everyday health status
This paper presents a low-complexity compression scheme of electrocardiogram (ECG) signals based on the Haar wavelet transform (HWT) for…
ECG Feature Detection Using Randomly Compressed Samples for Stable HRV Analysis Over Low Rate Links
Gao, Ju ; Teng, Diyan ; Ertin, Emre
Computational tools
,
Feature discovery
,
Telemedicine Assessment
Wireless biosensors enable continuous monitoring of physiology and can provide early signs of imminent problems allowing for quick intervention…
Edemeter: Wearable and Continuous Fluid Retention Monitoring
Resendiz, Alex ; Odicho, Dani ; Gabrielian, Victor ; Nahapetian, Ani
Self management and quality of life
,
Health Assessment
,
Vigilance
Fluid retention, known medically as edema, is caused by the retention of fluid in the soft tissue of the lower extremities. This is most…
Energy Efficient Routing Algorithm for Patient Monitoring in Body Sensor Networks
Wireless body sensor networks are widely used for monitoring individuals in assisted living facilities and has emerged as a promising technology…
Footstep Energy Harvesting Using Heel Strike-Induced Airflow for Human Activity Sensing
Fu, Hailing ; Cao, Kun ; Xu, Ruize ; Bhouri, Mohamed Aziz ; Martinez-Botas, Ricardo F ; Kim, Sang-Gook ; Yeatman, Eric M
Energy harvesting
,
Automated advice and feedback
Body sensor networks are increasingly popular in healthcare, sports, military and security. However, the power supply from conventional…
Gait Velocity Estimation for a Smartwatch Platform Using Kalman Filter Peak Recovery
Nemati, Ebrahim ; Suh, Young Soo ; Moatamed, Babak ; Sarrafzadeh, Majid
Gait Analysis
,
Everyday health status
,
Human Models
A gait velocity estimation algorithm using the inertial sensors of a smartwatch is proposed. The peaks of accelerometer and gyroscope norms…
Hand Smoothness in Laparoscopic Surgery Correlates to Psychomotor Skills in Virtual Reality
Mohamadipanah, Hossein ; Parthiban, Chembian ; Law, Katherine ; Nathwani, Jay ; Maulson, Lakita ; DiMarco, Shannon ; Pugh, Carla
Minimally Invasive Sensors
,
Automated advice and feedback
The main purpose of this study is to find possible relationships between the smoothness of hand function during laparoscopic ventral hernia…
Hands Free Mouse
Castillo, Aaron ; Cortez, Graciela ; Diaz, David ; Espiritu, Rayton Steven ; Ilisastigui, Krystle ; obard, bryce ; George, Kiran
Self management and quality of life
,
Minimally Invasive Sensors
,
Communications protocols
The headset mouse is an assistive technology created for individuals with limited to no mobility in their arms. Specifically, this device was…
Heart Rate Sensors Acceptability: Data Reliability vs. Ease of Use
SIMONNET, MATHIEU ; GOURVENNEC, BERNARD
Health Assessment
,
Self management and quality of life
,
Diabetes
In the present study we focused on heart rate sensors and compared the acceptability and usability of the various devices candidates to…
HIPAA Compliant Wireless Sensing Smartwatch Application for the Self-Management of Pediatric Asthma
Hosseini, Anahita ; Buonocore, Chris M. ; Hashemzadeh, Sepideh ; Hojaiji, Hannaneh ; Kalantarian, Haik ; Sideris, Costas ; Bui, Alex ; King, Christine E. ; Sarrafzadeh, Majid
Self management and quality of life
,
Environmental Exposures Monitoring
,
Data security
Asthma is the most prevalent chronic disease among pediatrics, as it is the leading cause of student absenteeism and hospitalization for…
Identification of Isolated Biomechanical Parameters with a Wireless Body Sensor Network
Misgeld, Berno ; Lueken, Markus ; Leonhardt, Steffen
Human Models
,
Multi sensor data fusion
,
Gait Analysis
The accurate, real-time estimation of biomechanical joint parameters bears a potential benefit for many applications. Examples include the…
Identifying Usage Anomalies For ECG-Based Sensor Nodes
Quality of data
,
Feature discovery
,
Automated advice and feedback
Body Sensor Networks (BSNs) are being used across a wider range of applications including healthcare ones where sensors may be attached to…
Investigating the Feasibility of Multiple UWB Transmitters in Brain Computer Interface (BCI) Applications
PATEL, RUTUL ; Sarkar, Mahasweta ; Nagaraj, Santosh ; Patel, Pragnesh
Multi sensor data fusion
,
Quality of data
,
Minimally Invasive Sensors
In the Wireless Body Area Network (WBAN), radio propagations from devices that are near or inside the human body are composite and unique…
Investigation of Motion Artifacts for Biopotential Measurement in Wearable Devices
Li, Xian ; Huang, Hui ; Sun, Ye
The goal of this study is to investigate the two major reasons of motion artifacts, impedance variation and triboelectric charge accumulation….
Longitudinal Estimation of Gait Time Series Density in Multiple Sclerosis Subjects Using Out-Of-Clinic Inertial Data
Qureshi, Asma ; Brandt-Pearce, Maite ; Goldman, Myla D.
Gait Analysis
,
Feature discovery
,
Everyday health status
Multiple sclerosis (MS) is a neurological disorder that disrupts the communication within the brain, and between the brain and body. MS…
Low-Cost Indoor Health Monitoring System
Moatamed, Babak ; Arjun, Arjun ; Shahmohammadi, Farhad ; Ramezani, Ramin ; Naeim, Arash ; Sarrafzadeh, Majid
Health Assessment
,
Self management and quality of life
,
Minimally Invasive Sensors
The advent of smart infrastructure or Internet of Things (IoT) has enabled scenarios in which objects with unique identifiers can…
Non-Invasive Biomedical Patch Sensor to Measure Intracranial Pressure
Griffith, Jacob ; Wakim, Andre’ ; Moore-Jansen, Peer ; Cluff, Kim
Minimally Invasive Sensors
,
Health Assessment
This study was focused on the development of a non-invasive mobile skin sensor for measuring intracranial pressure (ICP). Current techniques…
Online Segmentation with Multi-Layer SVM for Knee Osteoarthritis Rehabilitation Monitoring
Chen, Hsieh-Ping ; Chen, Hsieh-Chung ; Liu, Kai-Chun ; Chan, Chia-Tai
Computational tools
,
Multi sensor data fusion
,
Minimally Invasive Sensors
Rehabilitation exercise is one of the most important parts in knee osteoarthritis therapy. A good rehabilitation monitoring method provides…
Probabilistic Sensor Network Design
Bergmann, Jeroen ; Noble, J Alison ; Thompson, Mark
Network topologies
,
Computational tools
,
Quality of data
Sensor networks are designed to detect events and their applicability is dependent on the likelihood of a correct detection. A network that…
Quantification of Respiratory Sinus Arrhythmia Using the IPANEMA Body Sensor Network
Lueken, Markus ; Penzlin, Bernhard ; Leonhardt, Steffen ; Misgeld, Berno
Health Assessment
,
Multi sensor data fusion
,
Everyday health status
In clinical practice the determination of the heart rate variability (HRV) has become a common measure to investigate the parasympathetic…
Quantitative Analysis of Spine Angle Range of Individuals with Low Back Pain Performing Dynamic Exercises
Peng, Fei ; Li, Huihui ; Ivanov, Kamen ; Guoru, Zhao ; Zhou, Fang ; Du, Wenjing ; Wang, Lei
Health Assessment
,
Extreme Performance and Limits of Performance
The aim of this study was to analyse quantitatively spine angle changes of subjects suffering from low back pain (LBP) during dynamic…
The Validation of the US Army Estimated Core Temperature Algorithm During a 35 km Swiss Army March in the Cold
Delves, Simon ; Wyss, Thomas ; Roos, Lilian ; Beeler, Nadja ; Veenstra, Bertil Jurgen ; Buller, Mark
Core body temperature (Tcore) is a critical measure that is a necessary component to assess therma strain and prevent heat injury….
Tracking the Behavior of UWB Transmissions in Invasive BCI Applications
Patel, Pragnesh ; Sarkar, Mahasweta ; Nagaraj, Santosh
Minimally Invasive Sensors
,
Quality of data
,
Standards
Ultra wideband (UWB) radio technology has been shown to have tremendous potential to support certain Brain Computer Interface (BCI)…
Unobtrusive Real-Time Heart Rate Variability Analysis for the Detection of Orthostatic Dysregulation
Richer, Robert ; Groh, Benjamin H. ; Blank, Peter ; Dorschky, Eva ; Martindale, Christine ; Klucken, Jochen ; Eskofier, Bjoern M
Health Assessment
,
Automated advice and feedback
,
Parkinsons Disease
The possibilities for wearable health care technology to improve the quality of life for chronic disease patients has been increasing within…
Validity of Wrist Based Heart Rate Monitors for the Physiological Assessment of Swiss Army Recruits
Buller, Mark ; Bitterle, Jacqueline ; Delves, Simon ; Veenstra, Bertil Jurgen ; Roos, Lilian ; Beeler, Nadja ; Wyss, Thomas
Extreme Performance and Limits of Performance
Heart rate (HR) is an informative physiological measure that has long been utilized to assess work rate, energy expenditure, and fitness….
Wearable Body and Wireless Inertial Sensors for Machine Learning Classification of Gait for People with Friedreich?s Ataxia
LeMoyne, Robert ; Heerinckx, Frederic ; Aranca, Tanya ; De Jager, Robert ; Zesiewicz, Theresa ; Saal, Harry J.
Health Assessment
,
Feature discovery
,
Minimally Invasive Sensors
The integration of wearable and wireless inertial body sensors with machine learning offers the capacity to diagnose neurological disorders…
Wearable Trick Classification in Freestyle Snowboarding
Groh, Benjamin H. ; Fleckenstein, Martin ; Eskofier, Bjoern M
Feature discovery
,
Multi sensor data fusion
,
Computational tools
Digital motion analysis in freestyle snowboarding requires a stable trick detection and accurate classification. Freestyle snowboarding contains…
Wireless Wearable Self-Calibrated Sensor for Perfusion Assessment of Myocutaneous Tissue
Berthelot, Melissa Estelle ; Chen, Ching-Mei ; Yang, Guang-Zhong ; Lo, Benny
Minimally Invasive Sensors
,
Health Assessment
,
Automated advice and feedback
Blood flow and perfusion monitoring are critical appraisal to ensure survival of tissue flap after reconstructive surgery. Many techniques…
