Smart Health Monitoring Systems: An Overview of Design and Modeling

Baig, Mirza Mansoor; GholamHosseini, Hamid

doi:10.1007/s10916-012-9898-z

Cited by 331 publications

(150 citation statements)

References 124 publications

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“…This kind of sensors is very important for determining precisely the activity of the subject [29,30]. But there are some technical difficulties, like the short battery life [29], also here could be some devices where it is hard to install a sensor that can indicate precisely the state of the device, like the television for example.…”

Section: House Sensorsmentioning

confidence: 99%

Activity and Emotion Recognition for Elderly Health Monitoring

Benaissa

Köppen

Yoshida

2018

IJAE

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The problems facing elderly who are living independently, are considered to be one of the most important motivations of the activity recognition research. The advances in sensing technologies allow collecting several types of data and communicate it wirelessly. However, most existing activity recognition systems requires pre-calculated pattern recognition models. This paper lays the theoretical foundations of a real-time methodology for activity and emotional recognition based on body and environment sensors simultaneously, then tackles one aspect of the method which is the path estimation using chest-mounted IMU sensor, for which a zero velocity update criteria is proposed. Finally path estimation results for sitting down, laying down, falling down and standing up are discussed.

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Section: House Sensorsmentioning

confidence: 99%

Activity and Emotion Recognition for Elderly Health Monitoring

Benaissa

Köppen

Yoshida

2018

IJAE

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“…These devices catch, store, and convey physiological statistics unpretentiously, successfully, and efficiently. The summary of collectable physiological signs fuse, however isn't constrained to, heart frequency, body hotness, breath rate, circulatory strain , electroencephalogram, electrocardiogram, Galvanic skin reaction, oxygen immersion, blood glucose, and weight file [10,11]. Skin temperature is additionally quantifiable using a computerized temperature sensor [13].…”

Section: Associated Effortmentioning

confidence: 99%

Sensor Enabled Wearable Technological Tool to Detect Breast Abnormality

Kavitha¹,

Raja²

2018

IJET

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Our Historical records say that, Women are back bone to every family. Generally we observe that health risk rate in women increases depends on age. Statistical medical reports proven that, early identification of health risks will increase the survival rate of patient. From last sixty years, we heard that breast cancer is one of the big health dare for women after forty years of age. Early phase detection of breast tumor is a big research issue in both developed and developing countries. Due to the limits in existing breast abnormality detecting tools like mammography, thermography, ultrasound, MRI there is a need to introduce smart, cost effective, patient comfortable, nonionic radiated compact testing tool to detect breast abnormality at early stage. In this work I am going to propose an advanced sensor enabled wearable technological tool design to detect breast abnormality. This tool is portable, patient comfortable, light weight, cost effective and suitable for dense breast, pregnant women and surgically altered breasts, younger women also.

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“…These limitations could be overcome by incorporating more advanced technology in the system [19]. Still, even with this current framework, older people could live more independtly at home and stress levels would be lower [20]. Moreover, the cost for healthcare would be cheaper compared with Nursing Homes healthcare (see Fig.…”

Section: Process Of Implementing Smart Home Frameworkmentioning

confidence: 99%

Impact of Wireless Communications Technologies on Elder People Healthcare: Smart Home in Australia

Mageroski

Alsadon

Withana

et al. 2017

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Abstract. Over the last three decades, there has been a dramatic rise in ageing populations in most countries. Older people are remaining in nursing home care due to the fact that general services and medical support are provided. However, these environments often negatively affect older people due to high cost, limited staff and the social impacts they have. A way to overcome these challenges is to place the elderly instead of the Nursing Homes in a Smart Home environment. In other words, by implementing such technology, older people are able to remain at home, instead of going to nursing homes and pay the extremely high cost.The aim of this study is to describe the impact of wireless communications technologies on both nursing home and smart home. Using smart wireless sensors, wireless communication and ambient intelligent systems, it is possible to create systems capable of measuring vital signs of the patient at home. This is based on exchanging signals (information) between the sensor and the data server from already deployed sensors (infrared or camera) or wearable smart sensors, allowing older people to stay at home.

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Smart Health Monitoring Systems: An Overview of Design and Modeling

Cited by 331 publications

References 124 publications

Activity and Emotion Recognition for Elderly Health Monitoring

Activity and Emotion Recognition for Elderly Health Monitoring

Sensor Enabled Wearable Technological Tool to Detect Breast Abnormality

Impact of Wireless Communications Technologies on Elder People Healthcare: Smart Home in Australia

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