Emotion-on-a-chip (EOC): Evolution of biochip technology to measure human emotion using body fluids

Lee, Jung Hyun; Hwang, Yoo-Sun; Cheon, Keun Ah; Jung, Hyo Il

doi:10.1016/j.mehy.2012.09.002

Cited by 17 publications

(7 citation statements)

References 72 publications

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“…The self-reported method is disadvantageous to measure human stress levels due to the lack of standards for stress status and the inability to assess the wellness and mental acuity of the athlete in a real-time manner. 75 We focus our attention on monitoring stress levels via the latter two methods and focus our attention on the application of wearable sensors to measure HRV, skin conductivity, and biomarkers such as Cortisol and Orexin A from eccrine sweat (Fig. 3).…”

Section: Sensor Applications For Sports Medicinementioning

confidence: 99%

Wearable sensors for monitoring the physiological and biochemical profile of the athlete

Seshadri

Voos³

et al. 2019

npj Digit. Med.

318

200

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Athletes are continually seeking new technologies and therapies to gain a competitive edge to maximize their health and performance. Athletes have gravitated toward the use of wearable sensors to monitor their training and recovery. Wearable technologies currently utilized by sports teams monitor both the internal and external workload of athletes. However, there remains an unmet medical need by the sports community to gain further insight into the internal workload of the athlete to tailor recovery protocols to each athlete. The ability to monitor biomarkers from saliva or sweat in a noninvasive and continuous manner remain the next technological gap for sports medical personnel to tailor hydration and recovery protocols per the athlete. The emergence of flexible and stretchable electronics coupled with the ability to quantify biochemical analytes and physiological parameters have enabled the detection of key markers indicative of performance and stress, as reviewed in this paper.

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Section: Sensor Applications For Sports Medicinementioning

confidence: 99%

Wearable sensors for monitoring the physiological and biochemical profile of the athlete

Seshadri

Voos³

et al. 2019

npj Digit. Med.

318

200

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“…There are three conventional methods to measure psychological stress: self-report 6 , body fluid analysis 7 , and multimodal physiological data analysis 8 . The self-report method is hard to monitor human stress consistently due to the lack of standards for stress status 7 . The body fluid analysis cannot measure stress continuously.…”

mentioning

confidence: 99%

A Flexible and Wearable Human Stress Monitoring Patch

Yoon

Sim

Cho

2016

Sci Rep

124

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A human stress monitoring patch integrates three sensors of skin temperature, skin conductance, and pulsewave in the size of stamp (25 mm × 15 mm × 72 μm) in order to enhance wearing comfort with small skin contact area and high flexibility. The skin contact area is minimized through the invention of an integrated multi-layer structure and the associated microfabrication process; thus being reduced to 1/125 of that of the conventional single-layer multiple sensors. The patch flexibility is increased mainly by the development of flexible pulsewave sensor, made of a flexible piezoelectric membrane supported by a perforated polyimide membrane. In the human physiological range, the fabricated stress patch measures skin temperature with the sensitivity of 0.31 Ω/°C, skin conductance with the sensitivity of 0.28 μV/0.02 μS, and pulse wave with the response time of 70 msec. The skin-attachable stress patch, capable to detect multimodal bio-signals, shows potential for application to wearable emotion monitoring.

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“…Biology: the next great computing platform Within the last two decades, and particularly after 2012, biology has enjoyed increased attention from researchers in different areas of specialization. For example, a step forward was made in the formulation of theories such as the theory of electrodynamic instabilities in biological cells [32] and the design of specialized sensors for the reception of emotions-on-a-chip [31], towards the recording of the extracellular neural activity [20], not to mention the continuous-flow biochips [43], the design of revolutionary gene-editing technologies such as CRISPRs [37], and the design of nano-biologic computers as reliable alternatives for quantum computers [9,39]. All these intersections between AI, genomics, and synthetic biology as highlighted by Rosso [45] will help specialists turn biology into the next great computing platform [37] of society.…”

Section: Biological Computers Inside Living Cellsmentioning

confidence: 99%

The Biological as a Double Limit for Artificial Intelligence: Review and Futuristic Debate

Țugui

Dănciulescu

Subtirelu

2019

INT J COMPUT COMMUN

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This paper aims to identify to what extent artificial intelligence (AI) is biologically limited and to launch a debate on the issue of overcoming these limitations. To achieve our goal, we utilized a qualitative research methodology framework, providing an in-depth analysis of AI limitations formulated by prominent scholars within this field of specialization. We found that the biological boundary imposes a double limitation on AI, both from a gnoseological perspective and from a technological perspective. This twofold limitation of AI underpins the idea that as long as the biological cannot be understood, formalized, and imitated, we will not be able to develop technologies that mimic it. By adopting an original approach, our research paper focused on mapping out the twofold limitation of the biological with reference to the success of AI. Special attention was paid to the motivational analysis of this limitation in terms of human existence, the opportunity and utility to create artificial intelligences as superior to the human-like condition. We have opened the door for future debates on the need to decode cellular communication by understanding and developing a natural language of the living cell (N2LC). Based on the present research, we proposed that within the current technological context, biological computers (biocomputing) could represent a so-called invisible hand outstretched by biological systems towards AI.

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Emotion-on-a-chip (EOC): Evolution of biochip technology to measure human emotion using body fluids

Cited by 17 publications

References 72 publications

Wearable sensors for monitoring the physiological and biochemical profile of the athlete

Wearable sensors for monitoring the physiological and biochemical profile of the athlete

A Flexible and Wearable Human Stress Monitoring Patch

The Biological as a Double Limit for Artificial Intelligence: Review and Futuristic Debate

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