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Biomedical subjects

M Billinghurst

Publications and source records attributed to M Billinghurst.

4 recordsLinked to original sources

New interface metaphors for complex information space visualization: an ECG monitor object prototype.

Wearable augmented reality medical (WARM) interfaces could provide ubiquitous point-of-care decision support and enhance the quality and efficiency of clinicians' efforts. Creation of such systems involves the design and evaluation of new information displays that leverage the representational and presentational capabilities of three-dimensional AR environments. We describe our first efforts in this process: the implementation of interface objects for display of real-time electrocardiographic monitoring information and an evaluation methodology using a simulated clinical environment. Our pilot data confirm the utility of presentation modes that place simultaneous information tasks in close proximity, and highlight issues encountered in designing new representations of medical information.

Analysis of Variance↗

The expert surgical assistant. An intelligent virtual environment with multimodal input.

Virtual Reality has made computer interfaces more intuitive but not more intelligent. This paper shows how an expert system can be coupled with multimodal input in a virtual environment to provide an intelligent simulation tool or surgical assistant. This is accomplished in three steps. First, voice and gestural input is interpreted and represented in a common semantic form. Second, a rule-based expert system is used to infer context and user actions from this semantic representation. Finally, the inferred user actions are matched against steps in a surgical procedure to monitor the user's progress and provide automatic feedback. In addition, the system can respond immediately to multimodal commands for navigational assistance and/or identification of critical anatomical structures. To show how these methods are used we present a prototype sinus surgery interface. The approach described here may easily be extended to a wide variety of medical and non-medical training applications by making simple changes to the expert system database and virtual environment models. Successful implementation of an expert system in both simulated and real surgery has enormous potential for the surgeon both in training and clinical practice.

Artificial Intelligence↗

The structure of acetylarsenocholine bromide.

[C7H16AsO2]+.Br, Mr = 287.03, orthorhombic, P2(1)2(1)2(1), a = 10.121 (3), b = 11.745 (2), c = 9.530 (1) A, V = 1132.8 (6) A3, Z = 4, Dx = 1.682 Mg m-3, lambda(Mo K alpha) = 0.71069 A, mu = 6.86 mm-1, F(000) = 568, T = 296 K, R = 0.034 for 919 observed reflections. Crystalline acetylarsenocholine bromide exists in the trans-gauche conformation which is similar to the solution conformation of acetylcholine. The cationic structure is compared with known crystalline acetylcholine salts. In the crystal structure, each Br ion appears to link the arsonium ends of four cations.

Acetylcholine↗