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Variation of the Heartbeat and Activity as an Indicator of Drowsiness at the Wheel Using a Smartwatch

Sergio Rios-Aguilar, José Luis Miguel Merino, Andrés Millán Sánchez, Álvaro Sánchez Valdivieso
2015 International Journal of Interactive Multimedia and Artificial Intelligence  
Our main goal is to use the pulsations measurements in conjunction with the physical activity for the detection of driver drowsiness/sleepiness in advance in order to prevent accidents derived from fatigue  ...  Many of these studies are based on the detection of biological signals by drowsiness/sleepiness.  ...  data collected are comprised: -Values of the 3-axis accelerometer (20 values / sec). -Values of the 3-axis gyroscope (20 values / sec). -Values of the pedometer every second.  ... 
doi:10.9781/ijimai.2015.3313 fatcat:u7e54gfycfbjddkedchuu6tb5i

Motion-tolerant magnetic earring sensor and wireless earpiece for wearable photoplethysmography

Ming-Zher Poh, Nicholas C. Swenson, Rosalind W. Picard
2010 IEEE Transactions on Information Technology in Biomedicine  
The miniaturized sensor can be worn comfortably on the earlobe and contains an embedded accelerometer to provide motion reference for adaptive noise cancellation.  ...  The compact wireless earpiece provides analog signal conditioning and acts as a data-forwarding device via a radio frequency transceiver.  ...  Goyal for their assistance and valuable feedback, K. H. Kim for actively recruiting participants for this study, and Thought Technologies for generously donating the Flexcomp Infiniti system.  ... 
doi:10.1109/titb.2010.2042607 pmid:20172836 fatcat:bkpgc7rkm5evlk3doblekxhxym

application based comparison of statistical versus deep learning approaches to reciprocating compressor valve condition monitoring

Jason Kolodziej, Jacob Chesnes
2021 Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM  
This paper presents a vibration-based condition monitoring approach for early assessment of valve wear in an industrial reciprocating compressor.  ...  Seeded faults consistent with valve seat wear are installed on the head-side discharge valves of a Dresser-Rand ESH-1 industrial reciprocating compressor.  ...  The specific sensors utilized for this work are a triaxial accelerometer (PCB 356A16) mounted magnetically to the head-side discharge valve manifold (Fig. 3 ), an angular encoder (Photocraft HS20.5QZ)  ... 
doi:10.36001/phmconf.2021.v13i1.3081 fatcat:4xir5gqjqnedvmcie5blz2q6te

Cavitation Detection in Variable Speed Pump by Analyzing the Acoustic and Vibration Spectrums

Ashraf Kotb, Abdulaziz Morgan Abdulaziz
2015 Engineering  
Results showed that: the occurrence of cavitation depends on the rotational speed, and the sound signals in both no cavitation and cavitation conditions appear in random manner.  ...  The present work is an attempt to use the simultaneous measurements of vibration and sound for variable speed pump to detect cavitation.  ...  Manufacturers and industry BPMA, define the onset of cavitation as the value of NPSH R when there is a head drop of 3% compared with the head for cavitation free performance. Al-Arabi et al.  ... 
doi:10.4236/eng.2015.710062 fatcat:aprs7ilj4jbk5drq55rrnc4so4

Recent Advances in Wearable Sensors and Portable Electronics for Sleep Monitoring

Shinjae Kwon, Hojoong Kim, Woon-Hong Yeo
2021 iScience  
This report reviews the advances in wearable sensors, miniaturized electronics, and system packaging for home sleep monitoring.  ...  The device also has 3-axis motion sensors composed of an accelerometer, gyroscope, and magnetometer.  ...  Each motion sensor is composed of a 3-axis accelerometer, gyroscope, and magnetometer, and their data are wirelessly ll OPEN ACCESS measured.  ... 
doi:10.1016/j.isci.2021.102461 pmid:34013173 pmcid:PMC8113882 fatcat:aqqpbfumlveptbuz6wuxzkg6em

Survey of Wearable Sensors with Comparative Study of Noise Reduction ECG Filters

A. Rehman, M. Mustafa, I. Israr, M. Yaqoob
2013 International Journal of Computing and Network Technology  
With the help of MATLAB R2008b, different types of FIR and IIR filters designed to remove Baseline Wander Noise, Muscle Noise and Power line Interference from raw ECG signals of different subjects and  ...  Wearable sensors are the major part of Wireless Body Area Networks (WBANs) for provision of health care services and physical activity monitoring.  ...  Whereas, fall detector sensor is a 3-axis accelerometer, when cumulative value of all axis reaches a threshold a fall event occurs.  ... 
doi:10.12785/ijcnt/010105 fatcat:nlbutopksfg37lglwcbm5mhqmi

Novel Hierarchical Fall Detection Algorithm Using a Multiphase Fall Model

Chia-Yeh Hsieh, Kai-Chun Liu, Chih-Ning Huang, Woei-Chyn Chu, Chia-Tai Chan
2017 Sensors  
Reducing hazards in the living environment and performing exercises for training balance and muscles are the common strategies for fall prevention.  ...  Falls are the primary cause of accidents for the elderly in the living environment.  ...  The results showed that the head-worn accelerometer provided perfect results, and the authors suggested that the head was a reasonable wearing position for fall detection.  ... 
doi:10.3390/s17020307 pmid:28208694 pmcid:PMC5335954 fatcat:ztflf4in3jhqzaftq6gmykwdu4

Is Continuous Heart Rate Monitoring of Livestock a Dream or Is It Realistic? A Review

Luwei Nie, Daniel Berckmans, Chaoyuan Wang, Baoming Li
2020 Sensors  
Real-time HR monitoring for humans has become feasible though there are still shortcomings for continuously accurate measuring.  ...  This paper is an effort to estimate whether it is realistic to get a continuous HR sensor for livestock that can be used for long term monitoring.  ...  Table 3 . 3 Summary of ear-worn and patch PPG sensors for HR monitoring.  ... 
doi:10.3390/s20082291 pmid:32316511 pmcid:PMC7219037 fatcat:poclflw2brethgrap5qswi4t6u

Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection

Landreani, Faini, Martin-Yebra, Morri, Parati, Caiani
2019 Sensors  
Body acceleration due to heartbeat-induced reaction forces can be measured as mobile phone accelerometer (m-ACC) signals.  ...  Beat occurrences were extracted from both ECG and m-ACC and used to compute USV indices using 60, 30 and 10s durations, both for REST and MS.  ...  The 3-orthogonal axis accelerometric signals (m-ACC, fs = 100 Hz, accelerometer sensitivity of 0.001 g) were acquired using the app 'SensorLog' v.2.4, resulting in three oriented channels corresponding  ... 
doi:10.3390/s19173729 pmid:31466391 pmcid:PMC6749599 fatcat:huquuhoxgba2dezz25wf7hqagi

Improving Pulse Rate Measurements during Random Motion Using a Wearable Multichannel Reflectance Photoplethysmograph

Kristen Warren, Joshua Harvey, Ki Chon, Yitzhak Mendelson
2016 Sensors  
We show that for a wide variety of random motion, channels respond differently to motion artifacts, and the multichannel estimate outperforms single-channel estimates in terms of motion tolerance, signal  ...  We introduce an advanced multichannel template-matching algorithm that chooses the channel with the least motion artifact to calculate PR for each time instant.  ...  The PSD of each axis of the accelerometer was also calculated using the same method.  ... 
doi:10.3390/s16030342 pmid:26959034 pmcid:PMC4813917 fatcat:kvxggtlvizeojh6ss2hw7rxzny

The Current State of Optical Sensors in Medical Wearables

Erik Vavrinsky, Niloofar Ebrahimzadeh Esfahani, Michal Hausner, Anton Kuzma, Vratislav Rezo, Martin Donoval, Helena Kosnacova
2022 Biosensors  
organic pulse meter HR OLED 2 , OPD 3 Wavelength 625 nm, 46 dB 93.6 µA SNR, a constant current of [70] Wrist-worn watch with LED PPG HR, SpO 2 PPG: Analog Devices Analog Devices ADXL362 ADPD144RI, Accelerometer  ...  The PPG signal is a mixture of blood flow in the veins and arteries and generally consists of a pulsating and non-pulsating component of the blood volume [53] .  ...  Funding: This research was supported by the Research Agency of the Slovak Republic under the Operational Program Integrated Infrastructure for the project "TeleCovid" ITMS code: 313011ASY8.  ... 
doi:10.3390/bios12040217 pmid:35448277 pmcid:PMC9029995 fatcat:kd5omfp3cnellb56xbgq32us2a

A comparison of polysomnography and the WatchPAT in the diagnosis of obstructive sleep apnea

P. Pang Kenny, G. Gourin Christine, J. Terris David
2007 Otolaryngology and head and neck surgery  
METHODS: Patients with suspected obstructive sleep apnea scheduled for an overnight level I polysomnogram were offered enrollment in a study to compare the WatchPAT (Itamar Ltd, Israel) device with polysomnography  ...  analysis.  ...  ACKNOWLEDGMENTS We thank research nurse Linda Jones for helping with the typing of the study protocol and Chan Siew Pang, statistician with Tan Tock Seng Hospital, Singapore, for helping with the statistical  ... 
doi:10.1016/j.otohns.2007.03.015 pmid:17903588 fatcat:57ash6krdfg4din73bwrlrs32e

Mechanical Energy Sensing and Harvesting in Micromachined Polymer-Based Piezoelectric Transducers for Fully Implanted Hearing Systems: A Review

Rhonira Latif, Mimiwaty Mohd Noor, Jumril Yunas, Azrul Azlan Hamzah
2021 Polymers  
A dual function of sensing the sound signal and simultaneously harvesting vibration energy to power up its system can be attained from a single transducer.  ...  The paper presents a comprehensive review of mechanical energy harvesters and microphone sensors for totally implanted hearing systems.  ...  The implanted battery for a MEI can stay for~6 years while an external worn battery has to be charged every week [4, 30] .  ... 
doi:10.3390/polym13142276 fatcat:zaayfonaz5g7dlsl6kyxd7n3je

Breathing Monitoring and Pattern Recognition with Wearable Sensors [chapter]

Taisa Daiana da Costa, Maria de Fatima Fernandes Vara, Camila Santos Cristino, Tyene Zoraski Zanella, Guilherme Nunes Nogueira Neto, Percy Nohama
2019 Wearable Devices [Working Title]  
Therefore, wearable sensors that have been used recently as well as the main signal processing methods for breathing analysis are discussed.  ...  New technologies open the door to future methods of noninvasive breathing analysis using wearable sensors associated with machine learning techniques for pattern detection.  ...  Pessoal de Nível Superior), Fundação Araucária de Apoio ao Desenvolvimento Científico e Tecnológico do Estado do Paraná, and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), Brazil, for  ... 
doi:10.5772/intechopen.85460 fatcat:7ogqbxrz2zdjhczkyye3nofoie

MusicalHeart

Shahriar Nirjon, Feng Zhao, Robert F. Dickerson, Qiang Li, Philip Asare, John A. Stankovic, Dezhi Hong, Ben Zhang, Xiaofan Jiang, Guobin Shen
2012 Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems - SenSys '12  
MusicalHeart is a biofeedback-based, context-aware, automated music recommendation system for smartphones.  ...  The accuracy of the person-specific, 3-class activity level detector is on average 96.8%, where these activity levels are separated based on their differing impacts on heart rate.  ...  Feature Extraction Given the raw 3-axis accelerometer data from the Septimu sensors, we extract the feature values using the following steps: Step 1: For each 3-axis accelerometer data sample, (a x , a  ... 
doi:10.1145/2426656.2426662 dblp:conf/sensys/NirjonDLASHZJSZ12 fatcat:qkr3hew7xjg2zejxqo67rrgus4
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