2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010
DOI: 10.1109/iembs.2010.5627856
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Low power signal processing electronics for wearable medical devices

Abstract: Abstract-Custom designed microchips, known as Application Specific Integrated Circuits (ASICs), offer the lowest possible power consumption electronics. However, this comes at the cost of a longer, more complex and more costly design process compared to one using generic, off-the-shelf components. Nevertheless, their use is essential in future truly wearable medical devices that must operate for long periods of time from physically small, energy limited batteries. This presentation will demonstrate the state-o… Show more

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Cited by 5 publications
(4 citation statements)
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“…More recently, wearable textile technologies have been further considered to prevent illness and promote wellbeing and active aging, for an effective reduction of physical and mental decline with age, and a sustainable healthcare system [10]. These goals can be achieved within the strategies defined for mobile and personalized health (mHealth and pHealth), with several challenges to be addressed, such as the energy autonomy of portable electronics [1,11], specific design aspects of the wearables, particularly regarding comfort, perception, and interface to the users, the captured data quality, as well as data privacy and security [10]. …”
Section: Introductionmentioning
confidence: 99%
“…More recently, wearable textile technologies have been further considered to prevent illness and promote wellbeing and active aging, for an effective reduction of physical and mental decline with age, and a sustainable healthcare system [10]. These goals can be achieved within the strategies defined for mobile and personalized health (mHealth and pHealth), with several challenges to be addressed, such as the energy autonomy of portable electronics [1,11], specific design aspects of the wearables, particularly regarding comfort, perception, and interface to the users, the captured data quality, as well as data privacy and security [10]. …”
Section: Introductionmentioning
confidence: 99%
“…Therefore, prior to the identification and analysis of the signal to be pretreated to eliminate all interference, enhance energy characteristics of each ECG waveform, suppress noise and artifacts. Smoothing filter is a simple real-time class algorithm, which is widely used in the computing power needed or weaker long-running SCM system ECG monitoring device [5]. The basic principle is based on frequency filtering the signal is mainly 50Hz frequency sine wave, and a full cycle of a sine wave to take the N decile any point, the corresponding sine value of zero,which is shown in formula (1).…”
Section: Hardware Designmentioning
confidence: 99%
“…According to their analysis, the final simulated output voltage of 12V is achieved. With the growth applications related to IoT devices, smart home communication, environmental monitoring, and intelligent healthcare [16]- [19].…”
Section: Introductionmentioning
confidence: 99%