Vital Sign Measurement in Telemedicine Rehabilitation Based on Intelligent Wearable Medical Devices

Yang, Fan; Pengyun, Xu; Jin, Hao; Jian-long, MA; Qin, Liang

doi:10.1109/access.2019.2913189

Cited by 36 publications

(16 citation statements)

References 16 publications

(12 reference statements)

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“…Telemedicine could be defined as the use of technological equipment to provide a clinical and medical assistance when a physical distance separates patients and providers. Telemedicine also includes managing patients through monitoring devices controlled by physicians and nurses in remote locations [ 12 ], internet-based video-conferencing platforms for communicating with patients remotely [ 13 ], and asynchronous and synchronous systems for providing clinical care through the use of wearable devices [ 14 , 15 ]. Besides the therapeutical applications, telemedicine is also employed for remote monitoring of patients.…”

Section: Introductionmentioning

confidence: 99%

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare

Ronca

Giorgi²,

Rossi

et al. 2021

Sensors

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Current telemedicine and remote healthcare applications foresee different interactions between the doctor and the patient relying on the use of commercial and medical wearable sensors and internet-based video conferencing platforms. Nevertheless, the existing applications necessarily require a contact between the patient and sensors for an objective evaluation of the patient’s state. The proposed study explored an innovative video-based solution for monitoring neurophysiological parameters of potential patients and assessing their mental state. In particular, we investigated the possibility to estimate the heart rate (HR) and eye blinks rate (EBR) of participants while performing laboratory tasks by mean of facial—video analysis. The objectives of the study were focused on: (i) assessing the effectiveness of the proposed technique in estimating the HR and EBR by comparing them with laboratory sensor-based measures and (ii) assessing the capability of the video—based technique in discriminating between the participant’s resting state (Nominal condition) and their active state (Non-nominal condition). The results demonstrated that the HR and EBR estimated through the facial—video technique or the laboratory equipment did not statistically differ (p > 0.1), and that these neurophysiological parameters allowed to discriminate between the Nominal and Non-nominal states (p < 0.02).

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Section: Introductionmentioning

confidence: 99%

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare

Ronca

Giorgi²,

Rossi

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…IoT-based medical applications and health checks will provide benefits for medical personnel in reducing costs, improving quality of life, strengthening medical diagnoses [8], and subsequent treatment processes [9]. One form of health service that is of particular concern is the examination of vital signs [10]. Based on information from the World Health Organization (WHO), it stated that hypertension [11] and heart disease are the highest health risks.…”

Section: Introductionmentioning

confidence: 99%

Internet of things–based vital sign monitoring system

Alamsyah

Subito

Ikhlayel

et al. 2020

IJECE

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Wireless network technology-based internet of things (IoT) has increased significantly and exciting to study, especially vital sign monitoring (body temperature, heart rate, and blood pressure). Vital sign monitoring is crucial to carry out to strengthen medical diagnoses and the continuity of patient health. Vital sign monitoring conducted by medical personnel to diagnose the patient's health condition is still manual. Medical staff must visit patients in each room, and the equipment used is still cable-based. Vital sign examination like this is certainly not practical because it requires a long time in the process of diagnosis. The proposed vital sign monitoring system design aims to assist medical personnel in diagnosing the patient's illness. Vital sign monitoring system uses HRM-2511E sensor for heart detection, DS18b20 sensor for body temperature detection, and MPX5050DP sensor for blood pressure detection. Vital sign data processing uses a raspberry pi as a data delivery media-based internet of things (IoT). Based on the results of the vital sign data retrieval shows that the tool designed functioning correctly. The accuracy of the proposed device for body temperature is 99.51%, heart rate is 97.90%, and blood pressure is 97.69%.

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“…Risteska Stojkoska et al (2017) proposed a generic framework with three layers for improving the efficiency of health data flow in IoT-based home care systems. Fan et al (2019) adopted AIoT to intelligent wearable medical devices for measuring the vital signs in telemedicine rehabilitation, which reduced the time for data transcription and the entire measurement process. Due to the increasing concerns of the linkage between customers and domestic care services providers, the flexibility of resource management and an increase in the trustworthiness of customers are important to maintain the overall quality of domestic care services.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing data-driven elderly appointment services in domestic care communities under COVID-19

Lam

et al. 2021

IMDS

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PurposeUnder the impact of Coronavirus disease 2019 (COVID-19), this paper contributes in the deployment of the Artificial Intelligence of Things (AIoT)-based system, namely AIoT-based Domestic Care Service Matching System (AIDCS), to the existing electronic health (eHealth) system so as to enhance the delivery of elderly-oriented domestic care services.Design/methodology/approachThe proposed AIDCS integrates IoT and Artificial Intelligence (AI) technologies to (1) capture real-time health data of the elderly at home and (2) provide the knowledge support for decision making in the domestic care appointment service in the community.FindingsA case study was conducted in a local domestic care centre which provided elderly oriented healthcare services to the elderly. By integrating IoT and AI into the service matching process of the mobile apps platform provided by the local domestic care centre, the results proved that customer satisfaction and the quality of the service delivery were improved by observing the key performance indicators of the transactions after the implementation of the AIDCS.Originality/valueFollowing the outbreak of COVID-19, this is a new attempt to overcome the limited research done on the integration of IoT and AI techniques in the domestic care service. This study not only inherits the ability of the existing eHealth system to automatically capture and monitor the health status of the elderly in real-time but also improves the overall quality of domestic care services in term of responsiveness, effectiveness and efficiency.

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Vital Sign Measurement in Telemedicine Rehabilitation Based on Intelligent Wearable Medical Devices

Cited by 36 publications

References 16 publications

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare

Internet of things–based vital sign monitoring system

Enhancing data-driven elderly appointment services in domestic care communities under COVID-19

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