scispace - formally typeset
T

Tom Torfs

Researcher at Katholieke Universiteit Leuven

Publications -  106
Citations -  3547

Tom Torfs is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Wireless sensor network & Wearable computer. The author has an hindex of 31, co-authored 103 publications receiving 3059 citations. Previous affiliations of Tom Torfs include IMEC & Samsung.

Papers
More filters
Journal ArticleDOI

Thermoelectric Converters of Human Warmth for Self-Powered Wireless Sensor Nodes

TL;DR: This paper discusses a complementary approach to provide power autonomy to devices on a human body, i.e., thermoelectric conversion of human heat, based on custom-design small-size BiTe thermopiles.
Journal ArticleDOI

A 30 $\mu$ W Analog Signal Processor ASIC for Portable Biopotential Signal Monitoring

TL;DR: The design and implementation of an analog signal processor (ASP) ASIC for portable ECG monitoring systems and the proposed continuous-time electrode-tissue impedance monitoring circuit enables the monitoring of the signal integrity.
Journal ArticleDOI

A 345 µW Multi-Sensor Biomedical SoC With Bio-Impedance, 3-Channel ECG, Motion Artifact Reduction, and Integrated DSP

TL;DR: This paper presents a MUlti-SEnsor biomedical IC (MUSEIC), which features a high-performance, low-power analog front-end (AFE) and fully integrated DSP achieving 10 × or more energy savings in vector multiply-accumulate executions.
Journal ArticleDOI

Low Power Wireless Sensor Network for Building Monitoring

TL;DR: In this paper, a wireless sensor network is proposed for monitoring buildings to assess earthquake damage, where the sensor nodes use custom-developed capacitive microelectromechanical systems strain and 3-D acceleration sensors and a low power readout application-specified integrated circuit for a battery life of up to 12 years.
Journal ArticleDOI

Vital-sign monitoring and spatial tracking of multiple people using a contactless radar-based sensor

TL;DR: It is shown that a radar-based sensor can be used to monitor the individual vital signs (heartbeat and respiration) of multiple people in a real-world setting, keeping track of individual people during vigorous movement.