title: Low-power wireless ECG acquisition and classification system for body sensor networks.
abstract: A low-power biosignal acquisition and classification system for body sensor networks is proposed. The proposed system consists of three main parts: 1) a high-pass sigma delta modulator-based biosignal processor (BSP) for signal acquisition and digitization, 2) a low-power, super-regenerative on-off keying transceiver for short-range wireless transmission, and 3) a digital signal processor (DSP) for electrocardiogram (ECG) classification. The BSP and transmitter circuits, which are the body-end circuits, can be operated for over 80 days using two 605 mAH zinc-air batteries as the power supply; the power consumption is 586.5 μW. As for the radio frequency receiver and DSP, which are the receiving-end circuits that can be integrated in smartphones or personal computers, power consumption is less than 1 mW. With a wavelet transform-based digital signal processing circuit and a diagnosis control by cardiologists, the accuracy of beat detection and ECG classification are close to 99.44% and 97.25%, respectively. All chips are fabricated in TSMC 0.18-μm standard CMOS process.
authors.forename: Shuenn-Yuh
authors.initials: SY
authors.lastname: Lee
authors.forename: Jia-Hua
authors.initials: JH
authors.lastname: Hong
authors.forename: Cheng-Han
authors.initials: CH
authors.lastname: Hsieh
authors.forename: Ming-Chun
authors.initials: MC
authors.lastname: Liang
authors.forename: Shih-Yu
authors.initials: SY
authors.lastname: Chang Chien
authors.forename: Kuang-Hao
authors.initials: KH
authors.lastname: Lin
mesh_terms: D003195:Computer Communication Networks / Q000295:instrumentation*; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D011211:Electric Power Supplies; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation*; D004735:Energy Transfer; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D058067:Wavelet Analysis; D059015:Wireless Technology / Q000295:instrumentation*