Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
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DOI：
10.1109/jiot.2017.2689164
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发表时间：
2017-10-01
影响因子：
10.6
通讯作者：
Rossi, Michele
中科院分区：
文献类型：
--
作者：
Hooshmand, Mohsen;Zordan, Davide;Rossi, Michele
现代可穿戴物联网（IoT）设备能够在电子健康应用中监测重要参数，例如心率或呼吸（RESP）率、心电图（ECG）、光体积描记（PPG）信号。可穿戴技术的一个常见问题是，信号传输对功率要求很高，因此，设备需要频繁的电池充电，这对生命体征的连续监测造成了严重的限制。为了改善这一点，我们提倡使用有损信号压缩作为一种手段，以减少收集的生物信号的数据大小，从而提高可穿戴设备的电池寿命，并允许细粒度和长期监测。考虑到ECG、RESP和PPG等通常可从商用可穿戴物联网设备中获得的一维生物信号，我们对现有的生物信号压缩算法进行了全面的回顾。此外，我们提出了新的方法的基础上在线字典，阐明其工作原理，并提供了一个量化的评估压缩，重建和能耗性能的所有计划。当我们量化时，最有效的方案允许将信号大小减少多达100倍，这需要类似的能量需求减少，仍然保持重建误差在峰-峰信号幅度的4%以内。最后，对未来的研究方向进行了讨论。
Modern wearable Internet of Things (IoT) devices enable the monitoring of vital parameters such as heart or respiratory (RESP) rates, electrocardiography (ECG), photo-plethysmographic (PPG) signals within e-health applications. A common issue of wearable technology is that signal transmission is power-demanding and, as such, devices require frequent battery charges and this poses serious limitations to the continuous monitoring of vitals. To ameliorate this, we advocate the use of lossy signal compression as a means to decrease the data size of the gathered biosignals and, in turn, boost the battery life of wearables and allow for fine-grained and long-term monitoring. Considering 1-D biosignals such as ECG, RESP, and PPG, which are often available from commercial wearable IoT devices, we provide a thorough review of existing biosignal compression algorithms. Besides, we present novel approaches based on online dictionaries, elucidating their operating principles and providing a quantitative assessment of compression, reconstruction and energy consumption performance of all schemes. As we quantify, the most efficient schemes allow reductions in the signal size of up to 100 times, which entail similar reductions in the energy demand, by still keeping the reconstruction error within 4% of the peak-to-peak signal amplitude. Finally, avenues for future research are discussed.