Feasibility Analysis for Estimation of Blood Pressure and Heart Rate using A Smart Eye Wear

Ahmed, N.; Banerjee, Rohan; Ghose, Avik; Sinharay, Arijit

doi:10.1145/2753509.2753511

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…The common type of sensor is the wrist band that is used to measure or estimate blood pressure and heartbeat. From the review, there are several potential sensors for blood pressure and heartbeat estimation, such as eye wear [33], electro conductive textile [35], smart watch [14], camera [36], and fingertip [36]. However, a few authors suggest using expert system techniques for hypertension diagnosis systems with its datasets without any inputs from the wearable device [24], [25], [37].…”

Section: Discussionmentioning

confidence: 99%

“…The PPG signals integrate the LED and the photodetector into the system. The LED emits some lights into the skin, while the photodetector receives the absorbed or reflected light as PPG signals for further analysis in blood pressure and heartbeat measurement [33]. The PPG signals are used in eyewear (as stated in S01).…”

Section: Sensors In Wearable Devicesmentioning

confidence: 99%

“…The only difference is the location of the sensor, in which the eyewear is located on the user's head. The light is emitted on the skin and the reflected light is used as PPG signals [33].…”

Section: Sensors In Wearable Devicesmentioning

confidence: 99%

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Review on hypertension diagnosis using expert system and wearable devices

Sani¹,

Abdullah

Rosli

2022

IJECE

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<span>The popularity of smartphones and wearable devices is increasing in the global market. These devices track physical exercise records, heartbeat, medicines, and self-health diagnosis. The wearable devices can also collect personal health parameters include hypertension diagnosis. Hypertension is one of the risk factors for cardiovascular-related diseases among the Malaysian population. Many mobile applications are paired with wearable devices to monitor health conditions, but none of them able to diagnose hypertension. In this study, we reviewed research papers that focused on hypertension using expert systems and wearable devices. We performed a systematic literature review based on hypertension factors, expert systems, and wearable devices. We found 15 specific research papers after the filtering process. The key findings highlighted three main focuses, which are the factors of hypertension, the expert system techniques, and the types of sensors in wearable devices. Blood pressure is the most common factor of hypertension that can be collected by wearable devices. As for the expert system techniques, we determined the three most common techniques are machine learning, neural network, and fuzzy logic. Lastly, the wrist band is the most common sensor for wearable devices in hypertension-related research.</span>

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Section: Discussionmentioning

confidence: 99%

Section: Sensors In Wearable Devicesmentioning

confidence: 99%

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Review on hypertension diagnosis using expert system and wearable devices

Sani¹,

Abdullah

Rosli

2022

IJECE

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“…Photoplethysmography is a noninvasive method for detecting changes in blood volume using photoelectric means [27]. When a certain wavelength of light beam is irradiated onto the body surface, the absorption of light by the skin, muscle, tissue, water, etc.…”

Section: Athletes' Survey On the Application Of Smart Equipmentmentioning

confidence: 99%

Research on the Possibility of Smart Wearable Devices in Ice and Snow Sports Based on Wireless Network

Liu

2022

Wireless Communications and Mobile Computing

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Ice and snow sports are very popular fashion sports in the world. The development of ice and snow sports in China is affected by factors such as climate and natural environment, industrial development, consumption concept, and ice and snow culture. With the advent of the intelligent era, technology has developed rapidly, and the emergence of smart wearable devices has been widely used. The article is based on the recognition of ice and snow movement status, combined with wearable technology, signal processing technology, wireless communication technology, using acceleration sensors, biosensors, bluetooth modules, smartphones, and back-end servers to build a “wearable health monitoring based on recognition of the status of human ice and snow movement system.” Through the daily wear test, on the basis of real-time recognition of the human body motion state, the system issues alarms for dangerous fall actions and abnormal physiological signals in different motion states and can use energy management strategies to save system energy according to the user status, which proves reliability of wearable health monitoring architecture based on human motion state recognition. The paper firstly reviews the related works and literatures of ice and snow sports and smart wearable equipment at home and abroad through literature search and web search and uses questionnaire survey, logic analysis, and interview method to study the development of ice and snow sports. It is feasible to go to the snow and ice. Among them, the proportion of people who think it is expensive is the highest, reaching 65%.

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“…On the market, we can find devices being able to track such signs, like [5], or proposals like [6], but we were thinking about the opportunity to design an inexpensive mobile device to be used for continuous heart rate and body temperature monitoring for humans and non-humans, too. Figure 3 represents the setup we did by using the components that are briefly presented below.…”

Section: Fig 2 the Proposed System Componentsmentioning

confidence: 99%