Chiara Carissimo Dr Silvia Del Din Heloise Debelle Emma Packer Professor Lynn Rochester et al. | A novel energy-based composite index for assessing motor state in Parkinson's disease by means of IMU-based Digital Health Technology | 2024 |
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Dr Cameron Kirk Dr Lisa Alcock Dr Hugo Hiden Professor Lynn Rochester Dr Silvia Del Din et al. | Correction to: Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device (Scientific Reports, (2024), 14, 1, (1754), 10.1038/s41598-024-51766-5) | 2024 |
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Dr Giacomo Bergami Emma Packer Dr Kirsty Scott Dr Silvia Del Din
| Predicting Dyskinetic Events through Verified Multivariate Time Series Classification | 2024 |
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Chiara Carissimo Heloise Debelle Emma Packer Professor Alison Yarnall Professor Lynn Rochester et al. | Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning | 2023 |
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Heloise Debelle Emma Packer Harry Bailey Dr Ríona McArdle Dr Phillip Brown et al. | Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease | 2023 |
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Emma Packer Heloise Debelle Harry Bailey Professor Alison Yarnall Professor Lynn Rochester et al. | Translating digital healthcare to enhance clinical management: a protocol for an observational study utilising a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson’s. | 2023 |
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Emma Packer Dr Ambrina Roshi Dr Kirstie Anderson
| Feasibility and utility of enhanced sleep management on in-patient psychiatry wards | 2020 |
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