System-Level Power Consumption Analysis of the Wearable Asthmatic Wheeze Quantification
المؤلفون المشاركون
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-08
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Long-term quantification of asthmatic wheezing envisions an m-Health sensor system consisting of a smartphone and a body-worn wireless acoustic sensor.
As both devices are power constrained, the main criterion guiding the system design comes down to minimization of power consumption, while retaining sufficient respiratory sound classification accuracy (i.e., wheeze detection).
Crucial for assessment of the system-level power consumption is the understanding of trade-off between power cost of computationally intensive local processing and communication.
Therefore, we analyze power requirements of signal acquisition, processing, and communication in three typical operating scenarios: (1) streaming of uncompressed respiratory signal to a smartphone for classification, (2) signal streaming utilizing compressive sensing (CS) for reduction of data rate, and (3) respiratory sound classification onboard the wearable sensor.
Study shows that the third scenario featuring the lowest communication cost enables the lowest total sensor system power consumption ranging from 328 to 428 μW.
In such scenario, 32-bit ARM Cortex M3/M4 cores typically embedded within Bluetooth 4 SoC modules feature the optimal trade-off between onboard classification performance and consumption.
On the other hand, study confirms that CS enables the most power-efficient design of the wearable sensor (216 to 357 μW) in the compressed signal streaming, the second scenario.
In such case, a single low-power ARM Cortex-A53 core is sufficient for simultaneous real-time CS reconstruction and classification on the smartphone, while keeping the total system power within budget for uncompressed streaming.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Oletic, Dinko& Bilas, Vedran. 2018. System-Level Power Consumption Analysis of the Wearable Asthmatic Wheeze Quantification. Journal of Sensors،Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1201860
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Oletic, Dinko& Bilas, Vedran. System-Level Power Consumption Analysis of the Wearable Asthmatic Wheeze Quantification. Journal of Sensors No. 2018 (2018), pp.1-18.
https://search.emarefa.net/detail/BIM-1201860
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Oletic, Dinko& Bilas, Vedran. System-Level Power Consumption Analysis of the Wearable Asthmatic Wheeze Quantification. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1201860
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1201860
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر