Search results

• 2023

  Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

  Zhang, Y., Folarin, A. A., Dineley, J., Conde, P., Angel, V. D., Sun, S., Ranjan, Y., Rashid, Z., Stewart, C., Laiou, P., Sankesara, H., Qian, L., Matcham, F., White, K. M., Oetzmann, C., Lamers, F., Siddi, S., Simblett, S., Schuller, B. W., Vairavan, S., & 8 othersWykes, T., Haro, J. M., Penninx, B. WJH., Narayan, V. A., Hotopf, M., Dobson, R. JB., Cummins, N. & consortium, RADAR-CNS., 22 Aug 2023.

  Research output: Working paper/Preprint › Preprint

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  6 Downloads (Pure)
• 2022

  Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings

  Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Vairavan, S., Qian, L., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Sankesara, H., Matcham, F., White, K. M., Oetzmann, C., Ivan, A., Lamers, F., Siddi, S., Simblett, S., Rintala, A., & 10 othersMohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Penninx, B. WJH., Narayan, V. A., Annas, P., Hotopf, M., Dobson, R. JB. & consortium, RADAR-CNS., 29 Jan 2022.

  Research output: Working paper/Preprint › Preprint

  File

  • Depression 100%
  • Gait 100%
  • Real World 100%
  • Wearable Sensor 33%
  • Links 8%
  16 Downloads (Pure)
• 2021

  Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study

  Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Matcham, F., Oetzmann, C., Lamers, F., Siddi, S., Simblett, S., Rintala, A., Mohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Pennix, B. WJH., & 4 othersNarayan, V. A., Annas, P., Hotopf, M. & Dobson, R. JB., 26 Apr 2021.

  Research output: Working paper/Preprint › Preprint

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  15 Downloads (Pure)