Telehealth using ECG sensor and accelerometer

Gjoreski, Hristijan; Rashkovska, Aleksandra; Kozina, Simon; Luštrek, Mitja; Gams, Matjaž

doi:10.1109/mipro.2014.6859575

Cited by 29 publications

(24 citation statements)

References 20 publications

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“…An automated behavior analysis system identifies anomalous behavior that detects and acts upon changing health status based on standard behavioral patterns [23]. Accelerometer-generated data in conjunction with vital signs also can be used to detect anomalous behavior and trigger a response to adverse situations [24]. Fall detection systems are based on real-time analysis of data that deviates from normal behavior and can be widely used through wearable devices in conjunction with cloud computing and API calls [25,26].…”

Section: Technical Challenges Of Aal and The Impact Of Technical Innomentioning

confidence: 99%

Revisiting the Technology Challenges and Proposing Enhancements in Ambient Assisted Living for the Elderly

Bozan¹,

Berger²

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Several social and technical trends support the elderly's desire to live independently in their preferred environment, despite their increasing medical needs, and enhance their quality of life at home. Ambientassisted living (AAL) has the capabilities to support the elderly and to decrease their dependency on formal or informal caregivers. We provide a review of the technological challenges that were identified as inhibiting factors in the past decade and then present recent technological advances, e.g., cloud computing, machine learning, artificial intelligence, the Internet of Things. We also fill the gap in the current literature in regard to specific AAL solutions and propose fourthgeneration AAL technology design. We find that most informal caregivers are family members who are medically untrained and that the use of advanced analytical processes on AAL-generated data could significantly increase symptom identification. We also present the implications and remaining challenges along with recommendations for future research.

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Section: Technical Challenges Of Aal and The Impact Of Technical Innomentioning

confidence: 99%

Revisiting the Technology Challenges and Proposing Enhancements in Ambient Assisted Living for the Elderly

Bozan¹,

Berger²

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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show abstract

“…SDI1221, a low cost, integrated 1-axis accelerometer, was used in zero to medium frequency instrumentation applications to provide extremely low noise (5 μ g/√Hz) [80]. A triple axis accelerometer [81–83] and MMA7260QT [84] were used in telehealth monitoring. ADXL330 was used in deciding of the cardiac disease [85, 86].…”

Section: Designing Of External Cardiac Loop Recordermentioning

confidence: 99%

“…Bosch BMA180 accelerometer was used in human behaviour tracing [87]. A triple axis accelerometer [81, 83, 88–90], ADXL345 [91], and ADXL330 [92] were used in activity recognition. MC301 made by Wacoh was used in ambulatory monitoring to find human posture and walking velocity [93].…”

Section: Designing Of External Cardiac Loop Recordermentioning

confidence: 99%

An Engineering Perspective of External Cardiac Loop Recorder: A Systematic Review

Srinivasulu

Sriraam

2016

Journal of Medical Engineering

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External cardiac loop recorder (ELR) is a kind of ECG monitoring system that records cardiac activities of a subject continuously for a long time. When the heart palpitations are not the frequent and nonspecific character, it is difficult to diagnose the disease. In such a case, ELR is used for long-term monitoring of heart signal of the patient. But the cost of ELR is very high. Therefore, it is not prominently available in developing countries like India. Since the design of ELR includes the ECG electrodes, instrumentation amplifier, analog to digital converter, and signal processing unit, a comparative review of each part of the ELR is presented in this paper in order to design a cost effective, low power, and compact kind of ELR. This review will also give different choices available for selecting and designing each part of the ELR system. Finally, the review will suggest the better choice for designing a cost effective external cardiac loop recorder that helps to make it available even for rural people in India.

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“…Electrocardiogram (ECG) signals have been widely used in wireless telehealth systems for diagnosis of heart diseases during the past decade. [1][2][3][4] Reducing energy consumption is a major design concern of wireless telehealth systems since most of such systems are powered by a battery with limited capacity. 5,6 In general, the most e±cient way to achieve energy savings is by compressing the data in the system without losing information quality before data transmission.…”

Section: Introductionmentioning

confidence: 99%

Compressive Sensing of Multichannel Electrocardiogram Signals in Wireless Telehealth System

Hua

Zhang

Liu

et al. 2016

J CIRCUIT SYST COMP

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Due to the capacity of compressing and recovering signal with low energy consumption, compressive sensing (CS) has drawn considerable attention in wireless telemonitoring of electrocardiogram (ECG) signals. However, most existing CS methods are designed for reconstructing single channel signal, and hence difficult to reconstruct multichannel ECG signals. In this paper, a spatio-temporal sparse model-based algorithm is proposed for the reconstruction of multichannel ECG signals by not only exploiting the temporal correlation in each individual channel signal, but also the spatial correlation among signals from different channels. In addition, a dictionary learning (DL) approach is developed to enhance the performance of the proposed reconstruction algorithm by using the sparsity of ECG signals in some transformed domain. The approach determines a dictionary by learning local dictionaries for each channel and merging them to form a global dictionary. Extensive simulations were performed to validate the proposed algorithms. Simulation results show that the proposed reconstruction algorithm has a better performance in recovering multichannel ECG signals as compared to the benchmarking methods. Moreover, the reconstruction performance of the algorithm can be further improved by using a dictionary matrix, which is obtained from the proposed DL algorithm.

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Telehealth using ECG sensor and accelerometer

Cited by 29 publications

References 20 publications

Revisiting the Technology Challenges and Proposing Enhancements in Ambient Assisted Living for the Elderly

Revisiting the Technology Challenges and Proposing Enhancements in Ambient Assisted Living for the Elderly

An Engineering Perspective of External Cardiac Loop Recorder: A Systematic Review

Compressive Sensing of Multichannel Electrocardiogram Signals in Wireless Telehealth System

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