Nonintrusive Biological Signal Monitoring in a Car to Evaluate a Driver’s Stress and Health State

Baek, Hyun Jae; Lee, Haet Bit; Kim, Jung Soo; Choi, Jong Min; Kim, Ko Keun; Park, Kwang Suk

doi:10.1089/tmj.2008.0090

Cited by 74 publications

(63 citation statements)

References 16 publications

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“…As a result, various approaches, such as the device with three chest sensors for PPG, ECG and ICG (impedance cardiogram) underneath a t-shirt, or ECG and PPG monitoring using circuitry on the toilet seats, beds and steering wheels, have been proposed and implemented [19,20,128,140]. In our group, the replacement of the three-electrode ECG configuration with a non-contact electrode (NCE) approach for ECG acquisition has been attempted.…”

Section: Discussionmentioning

confidence: 99%

“…In the past few years, several research groups have developed cuff-less BP monitoring wearable devices, holding promise to allow patients to continuously monitor BP without interruption to their daily activities [17][18][19][20][21]. The underlying principle of these devices is based on the relation of the time it takes for a volume of blood (in the form of a pulse) to travel from the heart to a peripheral organ, which could be in the form of pulse transit time (PTT) or pulse arrival time (PAT) [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

et al. 2017

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Blood pressure (BP) is one of the most important monitoring parameters in clinical medicine. For years, the cuff-based sphygmomanometer and the arterial invasive line have been the gold standards for care professionals to assess BP. During the past few decades, the wide spread of the oscillometry-based BP arm or wrist cuffs have made home-based BP assessment more convenient and accessible. However, the discontinuous nature, the inability to interface with mobile applications, the relative inaccuracy with movement, and the need for calibration have rendered those BP oscillometry devices inadequate for next-generation healthcare infrastructure where integration and continuous data acquisition and communication are required. Recently, the indirect approach to obtain BP values has been intensively investigated, where BP is mathematically derived through the "Time Delay" in propagation of pressure waves in the vascular system. This holds promise for the realization of cuffless and continuous BP monitoring systems, for both patients and healthy populations in both inpatient and outpatient settings. This review highlights recent efforts in developing these next-generation blood pressure monitoring devices and compares various mathematical models. The unmet challenges and further developments that are crucial to develop "Time Delay"-based BP devices are also discussed.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

et al. 2017

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“…Therefore, the applications with dry-contact ECG electrodes need to be investigated further for long-term measurements. Another promising approach is based on capacitive coupling using non-contact type dry ECG electrodes [7,8]. These types of electrodes are classified as a non-contact because the electrodes are isolated with an insulating layer from the skin with hair, clothing, air, or other synthetic or textile fabrics.…”

Section: Introductionmentioning

confidence: 99%

Graphene-Enabled Electrodes for Electrocardiogram Monitoring

Celik

Manivannan

Strudwick³

et al. 2016

Nanomaterials

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The unique parameters of graphene (GN)—notably its considerable electron mobility, high surface area, and electrical conductivity—are bringing extensive attention into the wearable technologies. This work presents a novel graphene-based electrode for acquisition of electrocardiogram (ECG). The proposed electrode was fabricated by coating GN on top of a metallic layer of a Ag/AgCl electrode using a chemical vapour deposition (CVD) technique. To investigate the performance of the fabricated GN-based electrode, two types of electrodes were fabricated with different sizes to conduct the signal qualities and the skin-electrode contact impedance measurements. Performances of the GN-enabled electrodes were compared to the conventional Ag/AgCl electrodes in terms of ECG signal quality, skin–electrode contact impedance, signal-to-noise ratio (SNR), and response time. Experimental results showed the proposed GN-based electrodes produced better ECG signals, higher SNR (improved by 8%), and lower contact impedance (improved by 78%) values than conventional ECG electrodes.

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“…9,10 Others use the accelerometer to sense changes in gait. 11 Use of sensing in devices to measure behavior has been rarer, 12 with only a few examples of mobile phones used to encourage behavior change based on sensed information reported. 8,13,14 Mobile sensing, if proven valid, feasible, and effective, could be of benefi t to clinicians, patients, and researchers.…”

Section: Introductionmentioning

confidence: 99%

Objective Measurement of Sociability and Activity: Mobile Sensing in the Community

Berke¹,

Choudhury²,

Ali³

et al. 2011

The Annals of Family Medicine

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PURPOSE Automated systems able to infer detailed measures of a person's social interactions and physical activities in their natural environments could lead to better understanding of factors infl uencing well-being. We assessed the feasibility of a wireless mobile device in measuring sociability and physical activity in older adults, and compared results with those of traditional questionnaires.METHODS This pilot observational study was conducted among a convenience sample of 8 men and women aged 65 years or older in a continuing care retirement community. Participants wore a waist-mounted device containing sensors that continuously capture data pertaining to behavior and environment (accelerometer, microphone, barometer, and sensors for temperature, humidity, and light). The sensors measured time spent walking level, up or down an elevation, and stationary (sitting or standing), and time spent speaking with 1 or more other people. The participants also completed 4 questionnaires: the 36-Item Short Form Health Survey (SF-36), the Yale Physical Activity Survey (YPAS), the Center for Epidemiologic Studies-Depression (CES-D) scale, and the Friendship Scale.RESULTS Men spent 21.3% of their time walking and 64.4% stationary. Women spent 20.7% of their time walking and 62.0% stationary. Sensed physical activity was correlated with aggregate YPAS scores (r 2 = 0.79, P = .02). Sensed time speaking was positively correlated with the mental component score of the SF-36 (r 2 = 0.86, P = .03), and social interaction as assessed with the Friendship Scale (r 2 = 0.97, P = .002), and showed a trend toward association with CES-D score (r 2 = -0.75, P = .08). In adjusted models, sensed time speaking was associated with SF-36 mental component score (P = .08), social interaction measured with the Friendship Scale (P = .045), and CES-D score (P = .04).CONCLUSIONS Mobile sensing of sociability and activity is well correlated with traditional measures and less prone to biases associated with questionnaires that rely on recall. Using mobile devices to collect data from and monitor older adult patients has the potential to improve detection of changes in their health. INTRODUCTIONA n important goal of community health programs is to improve the overall quality of life by promoting cognitive, physical, and social/ emotional well-being.1,2 Everyday behaviors are often refl ective of physical and physiologic health states, and can be predictive of future health problems. The standard practice for collecting behavioral data in the health sciences relies on observational data collected in laboratory settings or through periodic surveys or self-reports. These proxy measures have several major limitations, however: (1) the time and resource requirements are too great to simultaneously gather data from a large number of individuals; (2) the measurements are prone to considerable bias, and the manual and sporadic recording of information often fails to capture the fi ner details of behavior that may be important; and (3) 345 ME A SUR...

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Nonintrusive Biological Signal Monitoring in a Car to Evaluate a Driver’s Stress and Health State

Abstract: Abstract

Cited by 74 publications

References 16 publications

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

Graphene-Enabled Electrodes for Electrocardiogram Monitoring

Objective Measurement of Sociability and Activity: Mobile Sensing in the Community

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