Design and Optimization of an Autonomous, Ambulatory Cardiac Event Monitor

Wearable sensors for health monitoring can enable the early detection of various symptoms, and hence rapid reme- dial actions may be undertaken. In particular, the monitoring of cardiac events by using such wearable sensors can provide real- time and more relevant diagnosis of cardiac arrhythmias than classical solutions. However, such devices usually use batteries, which require regular recharging to ensure long-term measure- ments. We therefore designed and evaluated a connected sensor for the ambulatory monitoring of cardiac events, which can be used as an autonomous device without the need of a battery. Even when using off-the-shelf, low-cost integrated circuits, by optimizing both the hardware and software embedded in the device, we were able to reduce the energy consumption of the entire system to below 0.4 mW while measuring and storing the ECG on a non-volatile memory. Moreover, in this paper, a power-management circuit able to store energy collected from the radio communication interface is proposed, able to make the connected sensor fully autonomous. Initial results show that this sensor could be suitable for a truly continuous and long-term monitoring of cardiac events.

• Publication year

  2018

• Venue

  International Conference on e-Health Networking, Applications and Services

• Publication date

  2018-09-01

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1109/HealthCom.2018.8531180
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Early Detection of Symptomatic Paroxysmal Cardiac Arrhythmias by Trans‐Telephonic ECG Monitoring: Impact on Diagnosis and Treatment of Atrial Fibrillation

  2016cited by this paper
• Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015.

  2016cited by this paper
• A wireless, low-power, smart sensor of cardiac activity for clinical remote monitoring

  2015cited by this paper
• Heart detection and diagnosis based on ECG and EPCG relationships

  2011cited by this paper
• ECG T-Wave Monitor for Potential Early Detection and Diagnosis of Cardiac Arrhythmias

  2010cited by this paper
• A practical guide to ECG interpretation

  1998cited by this paper
• A PRACTICAL GUIDE TO ECG INTERPRETATION

  1994cited by this paper
• Methodology of ECG Interpretation in the Dalhousie Program; NOVACODE ECG Classification Procedures for Clinical Trials and Population Health Surveys

  1990cited by this paper
• Exercise-induced ST depression in the diagnosis of coronary artery disease. A meta-analysis.

  1989cited by this paper
• Driven-right-leg circuit design

  1983cited by this paper
• Left ventricular hypertrophy by electrocardiogram. Prevalence, incidence, and mortality in the Framingham study.

  1969cited by this paper

• Arm-ECG Wireless Sensor System for Wearable Long-Term Surveillance of Heart Arrhythmias

  2019cites this paper