Imperial College London

DrBennyLo

Faculty of MedicineDepartment of Surgery & Cancer

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 0806benny.lo Website

 
 
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Location

 

B414BBessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

202 results found

Wang L, Thiemjarus S, Lo B, Yang G-Zet al., 2008, Toward A Mixed-Signal Reconfigurable ASIC for Real-Time Activity Recognition, 5th International Summer School and Symposium on Medical Devices and Biosensors, Publisher: IEEE, Pages: 113-+

Conference paper

McIlwraith DG, Pansiot J, Thiemjarus S, Lo BPL, Yang GZet al., 2008, Probabilistic Decision Level Fusion for Real-Time Correlation of Ambient and Wearable Sensors, 5th International Summer School and Symposium on Medical Devices and Biosensors, Publisher: IEEE, Pages: 256-259

Conference paper

Atallah L, Lo B, Yang G-Z, Siegemund Fet al., 2008, Wirelessly Accessible Sensor Populations (WASP) for Elderly Care Monitoring, 2nd International Conference on Pervasive Computing Technologies for Healthcare, Publisher: IEEE, Pages: 3-+

Conference paper

Thiemjarus S, Pansiot J, Mcllwraith D, Lo B, Yang G-Zet al., 2008, An integrated inferencing framework for context sensing, 5th Int Conference on Information Technol and Applications in Biomedicine in Conjunction with the 2nd Int Symposium and Summer School on Biomedical and Health Engineering, Publisher: IEEE, Pages: 1-5

Conference paper

Lo B, Scarzanella MV, Stoyanov D, Yang G-Zet al., 2008, Belief Propagation for Depth Cue Fusion in Minimally Invasive Surgery, 11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008), Publisher: SPRINGER-VERLAG BERLIN, Pages: 104-112, ISSN: 0302-9743

Conference paper

Ali R, ElHelw M, Atallah L, Lo B, Yang G-Zet al., 2008, Pattern mining for routine behaviour discovery in pervasive healthcare environments, 5th Int Conference on Information Technol and Applications in Biomedicine in Conjunction with the 2nd Int Symposium and Summer School on Biomedical and Health Engineering, Publisher: IEEE, Pages: 216-219

Conference paper

Atallah L, Elsaify A, Lo B, Hopkinson NS, Yang G-Zet al., 2008, Gaussian Process Prediction for Cross Channel Consensus in Body Sensor Networks, 5th International Summer School and Symposium on Medical Devices and Biosensors, Publisher: IEEE, Pages: 105-+

Conference paper

Pansiot J, King RC, McIlwraith DG, Lo BPL, Yang G-Zet al., 2008, ClimBSN: Climber Performance Monitoring with BSN, 5th International Summer School and Symposium on Medical Devices and Biosensors, Publisher: IEEE, Pages: 109-+

Conference paper

Andersen J, Lo B, Yang G-Z, 2008, - Experimental Platform for Usability Testing of Secure Medical Sensor Network Protocols, 5th International Summer School and Symposium on Medical Devices and Biosensors, Publisher: IEEE, Pages: 215-+

Conference paper

Lo B, Scarzanella MV, Stoyanov D, Yang G-Zet al., 2008, Belief propagation for depth cue fusion in minimally invasive surgery., Med Image Comput Comput Assist Interv, Vol: 11, Pages: 104-112

In minimally invasive surgery, dense 3D surface reconstruction is important for surgical navigation and integrating pre- and intra-operative data. Despite recent developments in 3D tissue deformation techniques, their general applicability is limited by specific constraints and underlying assumptions. The need for accurate and robust tissue deformation recovery has motivated research into fusing multiple visual cues for depth recovery. In this paper, a Markov Random Field (MRF) based Bayesian belief propagation framework has been proposed for the fusion of different depth cues. By using the underlying MRF structure to ensure spatial continuity in an image, the proposed method offers the possibility of inferring surface depth by fusing the posterior node probabilities in a node's Markov blanket together with the monocular and stereo depth maps. Detailed phantom validation and in vivo results are provided to demonstrate the accuracy, robustness, and practical value of the technique.

Journal article

Lo B, Yang GZ, 2007, Body sensor networks - research challenges and opportunities, Pages: 26-32

Recent advances in bionics, wireless network and computer technologies have enabled the realisation of miniaturised wireless biosensors for pervasive monitoring. Based on these technologies, the concept of Body Sensor Network (BSN) has been proposed to improve patient care, chronic disease management, and promote lifelong health and wellbeing for the ageing population. In order to provide a truly pervasive monitoring and sensing environment, a number of research issues have to be addressed. These include biosensor design, biocompatibility, wireless communication, power management, and autonomic sensing. The purpose of this paper is to provide an overview of the current BSN development and outline some of the research challenges and opportunities that it brings.

Conference paper

Wang L, Lo BPL, Yang G-Z, 2007, Multichannel Reflective PPG Earpiece Sensor With Passive Motion Cancellation, IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, Vol: 1, Pages: 235-241, ISSN: 1932-4545

Journal article

James A, Vieira D, Lo B, Darzi A, Yang GZet al., 2007, Eye-gaze driven surgical workflow segmentation, Pages: 110-117, ISSN: 0302-9743

In today's climate of clinical governance there is growing pressure on surgeons to demonstrate their competence, improve standards and reduce surgical errors. This paper presents a study on developing a novel eye-gaze driven technique for surgical assessment and workflow recovery. The proposed technique investigates the use of a Parallel Layer Perceptor (PLP) to automate the recognition of a key surgical step in a porcine laparoscopic cholecystectomy model. The classifier is eye-gaze contingent but combined with image based visual feature detection for improved system performance. Experimental results show that by fusing image instrument likelihood measures, an overall classification accuracy of 75% is achieved. © Springer-Verlag Berlin Heidelberg 2007.

Conference paper

Mountney P, Lo B, Thiemjarus S, Stoyanov D, Zhong-Yang Get al., 2007, A probabilistic framework for tracking deformable soft tissue in minimally invasive surgery, Pages: 34-41, ISSN: 0302-9743

The use of vision based algorithms in minimally invasive surgery has attracted significant attention in recent years due to its potential in providing in situ 3D tissue deformation recovery for intra-operative surgical guidance and robotic navigation. Thus far, a large number of feature descriptors have been proposed in computer vision but direct application of these techniques to minimally invasive surgery has shown significant problems due to free-form tissue deformation and varying visual appearances of surgical scenes. This paper evaluates the current state-of-the-art feature descriptors in computer vision and outlines their respective performance issues when used for deformation tracking. A novel probabilistic framework for selecting the most discriminative descriptors is presented and a Bayesian fusion method is used to boost the accuracy and temporal persistency of soft-tissue deformation tracking. The performance of the proposed method is evaluated with both simulated data with known ground truth, as well as in vivo video sequences recorded from robotic assisted MIS procedures. © Springer-Verlag Berlin Heidelberg 2007.

Conference paper

Lo B, Yang GZ, 2007, Pervasive Sensing

Patent

Aziz O, Atallah L, Lo B, ElHelw M, Wang L, Yang GZ, Darzi Aet al., 2007, A Pervasive Body Sensor Network for Measuring Postoperative Recovery at Home, Surgical Innovation, Vol: 14, Pages: 83-90

Patients going home following major surgery are susceptible to complications such as wound infection, abscess formation, malnutrition, poor analgesia, and depression, all of which can develop after the fifth postoperative day and slow recovery. Although current hospital recovery monitoring systems are effective during perioperative and early postoperative periods, they cannot be used when the patient is at home. Measuring and quantifying home recovery is currently a subjective and labor-intensive process. This case report highlights the development and piloting of a wireless body sensor network to monitor postoperative recovery at home in patients undergoing abdominal surgery. The device consists of wearable sensors (vital signs, motion) combined with miniaturized computers wirelessly linked to each other, thus allowing continuous monitoring of patients in a pervasive (unobtrusive) manner in any environment. Initial pilot work with results in both the simulated (with volunteers) and the real home environment (with patients) is presented.

Journal article

Yang GZ, Wang L, Lo B, 2007, PPG sensor

Patent

Mountney P, Lo B, Thiernjarus S, Stoyanov D, Zhong-Yang Get al., 2007, A Probabilistic framework for tracking deformable soft tissue in minimally invasive surgery, 10th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), Publisher: SPRINGER-VERLAG BERLIN, Pages: 34-+, ISSN: 0302-9743

Conference paper

Lo B, Atallah L, Aziz O, El ElHew M, Darzi A, Yang G-Zet al., 2007, Real-time pervasive monitoring for postoperative care, 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007), Publisher: SPRINGER, Pages: 122-+, ISSN: 1680-0737

Conference paper

Atallah L, ElHelw M, Pansiot J, Stoyanov D, Wang L, Lo B, Yang GZet al., 2007, Behaviour profiling with ambient and wearable sensing, 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007), Publisher: SPRINGER, Pages: 133-+, ISSN: 1680-0737

Conference paper

Katsiri E, Ho M, Wang L, Lo B, Toumazou Cet al., 2007, Embedded real-time heart variability analysis, 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007), Publisher: SPRINGER, Pages: 128-+, ISSN: 1680-0737

Conference paper

Wang L, Lo B, Yang GZ, 2007, Reflective photoplethysmograph earpiece sensor for ubiquitous heart rate monitoring, 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007), Publisher: SPRINGER, Pages: 179-+, ISSN: 1680-0737

Conference paper

James A, Vieira D, Lo B, Darzi A, Yang G-Zet al., 2007, Eye-gaze driven surgical workflow segmentation, MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION- MICCAI 2007, PT 2, PROCEEDINGS, Vol: 4792, Pages: 110-+, ISSN: 0302-9743

Journal article

Pansiot J, Stoyanov D, McIlwraith D, Lo BPL, Yang GZet al., 2007, Ambient and wearable sensor fusion for activity recognition in healthcare monitoring systems, 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007), Publisher: SPRINGER, Pages: 208-+, ISSN: 1680-0737

Conference paper

Buchanan R, Doordan D, Margolin V, 2006, Introduction ('Design Issues'), DESIGN ISSUES, Vol: 22, Pages: 1-2, ISSN: 0747-9360

Journal article

Guang-Zhong Yang, Surapa Thiemjarus, 2006, Spatial-Temporal Self Organising Map, WO 2006/097734

Patent

Aziz O, Lo B, King R, Darzi A, Yang GZ, Omer Aziz, Benny Lo, Rachel King, Guang-Zhong Yang, Ara Darziet al., 2006, Pervasive body sensor network: an approach to monitoring the post-operative surgical patient, Los Alamitos, International workshop on wearable and implantable body sensor networks, Publisher: IEEE Computer Soc, Pages: 13-16

Conference paper

Julien Pansiot, Danail Stoyanov, Benny PL Lo, Guang-Zhong Yanget al., 2006, Towards Image-Based Modeling for Ambient Sensing, The International Workshop on Wearable and Implantable Body Sensor Networks 2006 (BSN 2006), Publisher: IEEE, Pages: 195-198

Conference paper

Thiemjarus S, Lo BP, Yang G, 2006, A Spatio-Temporal Architecture for Context-Aware Sensing, International Workshop on Wearable and Implantable Body Sensor Networks 2006, Pages: 191-194

Conference paper

Benny Lo, Fani Deligianni, Guang-Zhong Yang, 2006, Source Recovery for Body Sensor Network, The International Workshop on Wearable and Implantable Body Sensor Networks 2006 (BSN 2006), Publisher: IEEE, Pages: 199-202

Conference paper

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