Wearable Medical Sensor-Based System Design: A Survey

Mosenia, Arsalan; Sur-Kolay, Susmita; Raghunathan, Anand; Jha, Niraj K.

doi:10.1109/tmscs.2017.2675888

Cited by 122 publications

(51 citation statements)

References 135 publications

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“…A power unit used in wearables typically the most significant contributor to both the size and weight of the devices [22]. As a consequence, developers must balance between size and the capability for autonomous operation when designing wearables.…”

Section: Improving Energy Effeciencymentioning

confidence: 99%

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IoT technologies for Augmented Human: A survey

Pirmagomedov

Koucheryavy

2021

Internet of Things

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Internet of Things (IoT) technology has delivered new enablers for improving human abilities. These enablers promise an enhanced quality of life and professional efficiency; however, the synthesis of IoT and human augmentation technologies has also extended IoT-related challenges far beyond the current scope. These potential challenges associated with IoTempowered Augmented Human (AH) have so far not been wellinvestigated. Thus, this article attempts to introduce readers to AH concept as well as summarize notable research challenges raised by such systems, in order to facilitate readers further interest in this topic. The article considers emerging IoT applications for human augmentation, devices and design principles, connectivity demands, and security aspects.

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Section: Improving Energy Effeciencymentioning

confidence: 99%

“…Wireless interfaces allow the creation of flexible connectivity within BAN. [22], [37]. Inter-BAN connections are enabled by Wi-Fi (IEEE 802.11) and mobile networks (e.g., LTE, 5G NR).…”

Section: B Wired and Wirelessmentioning

confidence: 99%

IoT technologies for Augmented Human: A survey

Pirmagomedov

Koucheryavy

2021

Internet of Things

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“…Nowadays, wireless sensor networks integrated with internet is used in real time applications which will give fast and reliable communication. In medical application, IoT is playing a promising role In recent healthcare applications [21], IoT-based body sensor network (BSN) technology [11] is used for monitoring health condition of the human being. Health condition of human body and surrounding environment is monitored and sensed using a group of light weight, less powered wireless sensor nodes and communicated through internet.…”

Section: Introductionmentioning

confidence: 99%

IoT based Sensor Fusion Algorithm for Online Smart Health Monitoring

Vijayalakshmi¹,

B²,

Stephen³

2019

IJRTE

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Emerging Internet of Things technology plays the major role in modern healthcare not only for sensing but also in recording, communication and display results. The major role of an intensive care unit (ICU) is to improve patient health such as bringing about a change in the treatment or move the patient to a step-down unit etc. Monitoring also shows the extent of observance with a formulated standard of care. In ICU, care should be taken to monitor medical parameters, such as EEG, EMG, BP etc , continuously. In recent health care applications such as real time human health condition monitoring, patient information management etc, IoT technology brings convenience of general practitioner and human, since it is applied in various medical areas, the Body Sensor Network (BSN) is one of the main technology of IoT based medical applications, where a tiny smart and lightweight wireless sensor nodes are used for monitoring patient’s health condition. Hence, this paper proposes BSN integrated with IoT based sensor fusion algorithm to save human life those who are in critical condition. Sensor fusion algorithm is used to detect the criticality of the patient’s health condition and IoT technology is used for communicating information. The testbed has been developed using Rasberry Pi controller, EMG sensor,, BP sensor etc and tested. The tested results also analyzed.

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“…To show the flexibility of KCC, its capability on human activity recognition using wearable devices is demonstrated. Interests in such devices have grown exponentially recently [47,48]. Despite this popularity, barriers to adoption still remain.…”

Section: Methodsmentioning

confidence: 99%

“…Since our aim is to demonstrate the robustness and flexibility of KCC, we remove the necessary data pre-processing procedures [47,48], e.g. noise removal, feature extraction, activity start time estimation, and principle component analysis (PCA).…”

Section: Implementation Detailsmentioning

confidence: 99%

Kernel learning for visual perception

Wang¹

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Wearable Medical Sensor-Based System Design: A Survey

Cited by 122 publications

References 135 publications

IoT technologies for Augmented Human: A survey

IoT technologies for Augmented Human: A survey

IoT based Sensor Fusion Algorithm for Online Smart Health Monitoring

Kernel learning for visual perception

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